5,574 Agentic AI jobs in the United States

Description

At Leidos, you'll contribute to AI solutions that serve critical national and global missions-ranging from defense and intelligence to healthcare, energy, and space exploration. Our work emphasizes Trusted Mission AI: systems that are transparent, ethical, resilient, and accountable. You'll collaborate with multidisciplinary teams to transition AI research into operational environments where accuracy, security, and reliability are non-negotiable. Joining Leidos means applying your expertise to solve some of the most complex and meaningful challenges of our time.

We are looking for a motivated Agentic AI scientist who wants to work on challenging problems in a variety of domains - including enterprise IT, health, defense, intelligence, and energy - to get results that apply and go beyond the state of the art for measurably better outcomes. We apply our knowledge, capabilities, and experience to develop and deploy Trusted Mission AI - AI that deserves to be trusted by system owners, end users, and the public - to be accurate, ethical, reliable, and adaptable. We are looking for a applied researcher that is expert in envisioning, developing, and securing AI agents using generative AI and LLM-based tools to transform and add value to human workflows.

Primary Responsibilities.

The Senior Agentic AI Scientist will be creating AI agents to plan, act, assess, and deliver measurable outcomes. They will be working with a team to design, implement and deploy agentic workflows to both automate and optimize labor-intensive workflows, as well as empowering the human workforce to discover entirely new capabilities. As a member of the Leidos AI Accelerator, they will be tasked at different times with both R&D as well as customer-facing goals, to speed the transition of novel research into impact on contract.

The tasks of the Agentic AI Scientist will include fine-tuning and optimizing generative models, potentially applying domain adaptation with supervised and unsupervised approaches. They will develop with a combination of open source models, agentic tools, large proprietary commercial models, and small language models. They will be developing novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact. They will be expected to ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.

They should expect they may conduct research, develop prototypes, perform applied research, evaluate and document results, potentially through publication and presentation at conferences and other public forums. They should also expect they may be part of a team developing solutions for deployment into operational environments, or for integration into mission systems. They should be a self-starter while also working well within the team, collaborating and sharing discoveries and seeking feedback.

Multiple openings at various levels. The various position's minimum education and experience requirements are as follows:

• T1: Bachelor's degree in Computer Science, Engineering or related field and relevant experience

• T2: Bachelor's degree in Computer Science, Engineering or related field and 2+ years of relevant experience, or a Masters degree with relevant experience

Basic/Required Qualifications.

• Practical understanding of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen

• Practical hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search

• Skilled in data exploration using Python-based tools (e.g., Pandas, NumPy, Jupyter)

• Self-starter with a high degree of intellectual curiosity

• Proficiency in Python and Machine Learning libraries such as Tensorflow

• Ability to obtain a Secret clearance

Preferred Qualifications.

• Ability to design and implement tool-using AI agents, including API integration, retrieval-augmented generation (RAG), and memory/context management

• Hands-on experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI

• Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes)

• Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency.

• Expertise in designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multi-agent systems

• Experience developing Agentic AI solutions, including autonomous planning-execution-reflection loops, multi-agent collaboration, and coordination at scale

• Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems

• Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments

LeidosAI

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:

August 14, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $55,250.00 - $99,875.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

#Remote

REQNUMBER: R-

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.

Location:
Santa Clara, California, United States

Job ID:
R

Date Posted:


Company Name:
HITACHI AMERICA, LTD.

Profession (Job Category):
Administration & Facilities

Job Schedule:
Full time

Remote:
No

Job Description:

Generative & Agentic AI Systems Internship , Spring 2026

Company: Hitachi America, Ltd.

Division: Research & Development (R&D) | Industrial AI Lab

Location: Santa Clara, CA

Status: Intern

Duration: 3+ months (January - March 2026; eligible for extension)

About Hitachi, Ltd.

Through its Social Innovation Business (SIB) that brings together IT, OT (Operational Technology) and products, Hitachi contributes to a harmonized society where the environment, wellbeing, and economic growth are in balance. Hitachi operates globally in four sectors - Digital Systems & Services, Energy, Mobility, and Connective Industries - and the Strategic SIB Business Unit for new growth businesses. With Lumada at its core, Hitachi generates value from integrating data, technology and domain knowledge to solve customer and social challenges. Revenues for FY2024 (ended March 31, 2025) totaled 9,783.3 billion yen, with 618 consolidated subsidiaries and approximately 280,000 employees worldwide. Visit us at

Summary

Hitachi America, Ltd. ( has openings for Interns in the Industrial AI lab located in Silicon Valley. The mission of this team is to help create new and innovative solutions that utilize artificial intelligence and advanced analytics of the Industrial Internet of Things (IIoT). The IT innovation team focuses on research, technology innovation, proof-of-concept activities, technical marketing and business development for novel AI solutions, leveraging Hitachi's technologies, reinforcing Hitachi's messaging around big data, and establishing Hitachi as a leader in Industrial AI.

Role Overview

We are seeking a highly motivated intern with a strong foundation in AI and systems engineering to contribute to the development of a next-generation Generative and Agentic AI systems . This role sits at the intersection of artificial intelligence, autonomous agents, robotics, and multi-modal intelligence. You'll work closely with cross-functional teams to prototype intelligent systems that interact with the physical world.

Responsibilities

• Collaborate with research scientist scientists, ML engineers, and product teams to define and develop AI agents for real-world tasks involving physical systems (e.g., drones, mobile robots) and digital environments.
• Build system components that integrate with REST APIs and robot middleware (e.g., ROS), supporting real-time interaction between agents and the physical world.
• Develop tools to support the prompt engineering lifecycle, including prompt libraries, scoring metrics, and agent orchestration frameworks.
• Design, test, and refine high-performance prompts and instructions for instruction fine-tuning pipelines.
• Lead or support the full data lifecycle for instruction fine-tuning , including identifying task objectives, collecting and curating datasets, generating synthetic data when needed, and evaluating fine-tuned models for performance and safety.
• Support multi-modal model development and deployment, focusing on integration with sensor data, vision models, and action plans.
• Contribute to discussions on AI safety, bias, and ethical considerations in autonomous and generative systems.
• Maintain technical documentation and provide internal training/support on best practices.

Qualifications

• PhD candidate in Computer Science, Robotics, AI, Machine Learning, or a related field.
• Strong understanding of deep learning theory, including transformer-based architectures and fine-tuning methods.
• Familiarity with the instruction fine-tuning lifecycle: data collection, dataset curation, model training, and evaluation.
• Conceptual knowledge of agentic AI , including task planning, memory, and autonomous reasoning (LangChain, OpenAgents, AutoGPT, CrewAI, etc.).
• Experience with Python, Jupyter Notebooks, REST APIs, and collaborative tools like GitHub and Markdown.
• Exposure to multi-modal AI (e.g., language-vision models, audio-text systems) and sensor data integration.
• Practical experience with robotics frameworks (e.g., ROS, PX4), simulation tools (e.g., Gazebo, Isaac Sim), or embedded systems is a strong plus.
• Understanding of reinforcement learning (RL), including policy learning and environment-agent interaction, is a bonus.

Nice-to-haves

• Contributions to open-source agentic or generative AI projects
• Publications or technical blog posts in AI or robotics domains
• Familiarity with NVIDIA, Hugging Face, and Azure ML model deployment pipelines

Benefits

• Opportunity to work on cutting-edge Generative AI technology and contribute to the development of innovative solutions.
• Exposure to a diverse range of Generative AI use cases and the chance to learn from industry experts.
• Competitive compensation and the potential for career growth within a dynamic and fast-paced environment.
• Collaborative and supportive team culture that encourages continuous learning and professional development.

If you are passionate about Generative AI, have a strong background in research and engineering, and are eager to join a team that is pushing the boundaries of what's possible with AI, we encourage you to apply for this exciting role.

Our Values

We are proud to say we are an equal opportunity employer and welcome all applicants for employment without attention to any factor that doesn't impact your ability to do the job, including race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are proud of Japanese heritage, with our values expressed through the Hitachi Spirit:

Wa - Harmony, Trust, Respect

Makoto - Sincerity, Fairness, Honesty, Integrity

Kaitakusha-Seishin - Pioneering Spirit, Challenge

For California only (as required by California's Pay Transparency for Pay Equity Act (SB 1162): The expected hourly rate for this position in our California office is $45 per hour. Pay is determined based on a variety of factors including, but not limited to, depth of experience in the practice area. Employees are eligible to participate in Hitachi America's variable pay program, subject to the program's conditions and restrictions.

Equal Opportunity Employer (EOE)-Females/Minorities/Protected Veterans/Individuals with Disabilities

If you need a reasonable accommodation to apply for a job at Hitachi, please send the nature of request and contact information to Queries other than accommodation requests will not be responded to.

**Company :**
Highmark Health
**Job Description :**
**JOB SUMMARY**
This role would build intelligent systems that not only generate novel content and data but also exhibit autonomous decision-making and action-taking capabilities. This role requires a strong foundation in software engineering principles to effectively develop, integrate, and deploy these advanced AI solutions. By leveraging large language models and other generative techniques to create sophisticated AI agents capable of independent problem-solving and goal achievement, this role will be instrumental in developing cutting-edge intelligent applications that will significantly enhance our operational efficiency and create novel product features.
**ESSENTIAL RESPONSIBILITIES**
+ Designing, developing, and deploying generative AI models (e.g., LLMs, diffusion models)
+ Architecting and building agentic systems with autonomous decision-making capabilities
+ Integrating generative AI and agentic solutions into existing products and services
+ Developing and maintaining the software infrastructure required for AI/ML pipeline
+ Developing and implementing data pipelines for training and evaluating AI models
+ Collaboration, Documentation, Monitoring & Evaluation of AI Systems
+ Conducting research and experimentation with new generative AI and agentic techniques
+ Other duties as assigned or requested
**EXPERIENCE**
**Required**
+ 5 years' experience in Software Development experience (Python preferred)
+ 3 years' experience working with large language models (LLMs)
+ 3 years' experience in Building and deploying AI agent systems or similar autonomous systems
+ 2 years' experience in Developing and deploying machine learning models in production
**Preferred**
+ 2 years' Familiarity with Cloud Computing Platforms
+ 1 year experience working with specific Agentic Frameworks (like LangChain, AutoGPT,Semantic Kernel, etc.)
+ 1 year experience in Deploying AI models at scale in high-throughput, low-latency environments
**SKILLS**
+ Proficient in Python and relevant AI/ML libraries
+ Significant experience in prompt engineering and fine tuning LLM models
+ Knowledge and experience in different generative AI techniques and their applications
+ Ability to design and implement agentic frameworks and architectures
+ Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.)
+ Familiarity with MLOps principles and tools for model deployment and monitoring
+ Understanding of the security implications and mitigation strategies for generative AI and agentic systems
+ Ability to stay up-to-date with the latest advancements in AI and generative models
+ Strong problem-solving and analytical skills
+ Excellent communication and collaboration skills
**EDUCATION**
**Required**
+ Bachelor's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees.
**Preferred**
+ Master's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees
**LICENSES or CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ Google Cloud Professional Machine Learning Engineer
**Language (Other than English):**
None
**Travel Required:**
Less than 25%
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
**Position Type**
Office-Based or Remote Position
**Physical work site required**
Never
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
**Pay Range Minimum:**
$78,900.00
**Pay Range Maximum:**
$147,500.00
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J

**Company :**
Highmark Health
**Job Description :**
**JOB SUMMARY**
This role would build intelligent systems that not only generate novel content and data but also exhibit autonomous decision-making and action-taking capabilities. This role requires a strong foundation in software engineering principles to effectively develop, integrate, and deploy these advanced AI solutions. By leveraging large language models and other generative techniques to create sophisticated AI agents capable of independent problem-solving and goal achievement, this role will be instrumental in developing cutting-edge intelligent applications that will significantly enhance our operational efficiency and create novel product features.
**ESSENTIAL RESPONSIBILITIES**
+ Designing, developing, and deploying generative AI models (e.g., LLMs, diffusion models)
+ Architecting and building agentic systems with autonomous decision-making capabilities
+ Integrating generative AI and agentic solutions into existing products and services
+ Developing and maintaining the software infrastructure required for AI/ML pipeline
+ Developing and implementing data pipelines for training and evaluating AI models
+ Collaboration, Documentation, Monitoring & Evaluation of AI Systems
+ Conducting research and experimentation with new generative AI and agentic techniques
+ Other duties as assigned or requested
**EXPERIENCE**
**Required**
+ 5 years' experience in Software Development experience (Python preferred)
+ 3 years' experience working with large language models (LLMs)
+ 3 years' experience in Building and deploying AI agent systems or similar autonomous systems
+ 2 years' experience in Developing and deploying machine learning models in production
**Preferred**
+ 2 years' Familiarity with Cloud Computing Platforms
+ 1 year experience working with specific Agentic Frameworks (like LangChain, AutoGPT,Semantic Kernel, etc.)
+ 1 year experience in Deploying AI models at scale in high-throughput, low-latency environments
**SKILLS**
+ Proficient in Python and relevant AI/ML libraries
+ Significant experience in prompt engineering and fine tuning LLM models
+ Knowledge and experience in different generative AI techniques and their applications
+ Ability to design and implement agentic frameworks and architectures
+ Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.)
+ Familiarity with MLOps principles and tools for model deployment and monitoring
+ Understanding of the security implications and mitigation strategies for generative AI and agentic systems
+ Ability to stay up-to-date with the latest advancements in AI and generative models
+ Strong problem-solving and analytical skills
+ Excellent communication and collaboration skills
**EDUCATION**
**Required**
+ Bachelor's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees.
**Preferred**
+ Master's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees
**LICENSES or CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ Google Cloud Professional Machine Learning Engineer
**Language (Other than English):**
None
**Travel Required:**
Less than 25%
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
**Position Type**
Office-Based or Remote Position
**Physical work site required**
Never
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
**Pay Range Minimum:**
$78,900.00
**Pay Range Maximum:**
$147,500.00
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J

**Company :**
Highmark Health
**Job Description :**
**JOB SUMMARY**
This role would build intelligent systems that not only generate novel content and data but also exhibit autonomous decision-making and action-taking capabilities. This role requires a strong foundation in software engineering principles to effectively develop, integrate, and deploy these advanced AI solutions. By leveraging large language models and other generative techniques to create sophisticated AI agents capable of independent problem-solving and goal achievement, this role will be instrumental in developing cutting-edge intelligent applications that will significantly enhance our operational efficiency and create novel product features.
**ESSENTIAL RESPONSIBILITIES**
+ Designing, developing, and deploying generative AI models (e.g., LLMs, diffusion models)
+ Architecting and building agentic systems with autonomous decision-making capabilities
+ Integrating generative AI and agentic solutions into existing products and services
+ Developing and maintaining the software infrastructure required for AI/ML pipeline
+ Developing and implementing data pipelines for training and evaluating AI models
+ Collaboration, Documentation, Monitoring & Evaluation of AI Systems
+ Conducting research and experimentation with new generative AI and agentic techniques
+ Other duties as assigned or requested
**EXPERIENCE**
**Required**
+ 5 years' experience in Software Development experience (Python preferred)
+ 3 years' experience working with large language models (LLMs)
+ 3 years' experience in Building and deploying AI agent systems or similar autonomous systems
+ 2 years' experience in Developing and deploying machine learning models in production
**Preferred**
+ 2 years' Familiarity with Cloud Computing Platforms
+ 1 year experience working with specific Agentic Frameworks (like LangChain, AutoGPT,Semantic Kernel, etc.)
+ 1 year experience in Deploying AI models at scale in high-throughput, low-latency environments
**SKILLS**
+ Proficient in Python and relevant AI/ML libraries
+ Significant experience in prompt engineering and fine tuning LLM models
+ Knowledge and experience in different generative AI techniques and their applications
+ Ability to design and implement agentic frameworks and architectures
+ Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.)
+ Familiarity with MLOps principles and tools for model deployment and monitoring
+ Understanding of the security implications and mitigation strategies for generative AI and agentic systems
+ Ability to stay up-to-date with the latest advancements in AI and generative models
+ Strong problem-solving and analytical skills
+ Excellent communication and collaboration skills
**EDUCATION**
**Required**
+ Bachelor's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees.
**Preferred**
+ Master's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees
**LICENSES or CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ Google Cloud Professional Machine Learning Engineer
**Language (Other than English):**
None
**Travel Required:**
Less than 25%
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
**Position Type**
Office-Based or Remote Position
**Physical work site required**
Never
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
**Pay Range Minimum:**
$78,900.00
**Pay Range Maximum:**
$147,500.00
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J

**Company :**
Highmark Health
**Job Description :**
**JOB SUMMARY**
This role would build intelligent systems that not only generate novel content and data but also exhibit autonomous decision-making and action-taking capabilities. This role requires a strong foundation in software engineering principles to effectively develop, integrate, and deploy these advanced AI solutions. By leveraging large language models and other generative techniques to create sophisticated AI agents capable of independent problem-solving and goal achievement, this role will be instrumental in developing cutting-edge intelligent applications that will significantly enhance our operational efficiency and create novel product features.
**ESSENTIAL RESPONSIBILITIES**
+ Designing, developing, and deploying generative AI models (e.g., LLMs, diffusion models)
+ Architecting and building agentic systems with autonomous decision-making capabilities
+ Integrating generative AI and agentic solutions into existing products and services
+ Developing and maintaining the software infrastructure required for AI/ML pipeline
+ Developing and implementing data pipelines for training and evaluating AI models
+ Collaboration, Documentation, Monitoring & Evaluation of AI Systems
+ Conducting research and experimentation with new generative AI and agentic techniques
+ Other duties as assigned or requested
**EXPERIENCE**
**Required**
+ 5 years' experience in Software Development experience (Python preferred)
+ 3 years' experience working with large language models (LLMs)
+ 3 years' experience in Building and deploying AI agent systems or similar autonomous systems
+ 2 years' experience in Developing and deploying machine learning models in production
**Preferred**
+ 2 years' Familiarity with Cloud Computing Platforms
+ 1 year experience working with specific Agentic Frameworks (like LangChain, AutoGPT,Semantic Kernel, etc.)
+ 1 year experience in Deploying AI models at scale in high-throughput, low-latency environments
**SKILLS**
+ Proficient in Python and relevant AI/ML libraries
+ Significant experience in prompt engineering and fine tuning LLM models
+ Knowledge and experience in different generative AI techniques and their applications
+ Ability to design and implement agentic frameworks and architectures
+ Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.)
+ Familiarity with MLOps principles and tools for model deployment and monitoring
+ Understanding of the security implications and mitigation strategies for generative AI and agentic systems
+ Ability to stay up-to-date with the latest advancements in AI and generative models
+ Strong problem-solving and analytical skills
+ Excellent communication and collaboration skills
**EDUCATION**
**Required**
+ Bachelor's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees.
**Preferred**
+ Master's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees
**LICENSES or CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ Google Cloud Professional Machine Learning Engineer
**Language (Other than English):**
None
**Travel Required:**
Less than 25%
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
**Position Type**
Office-Based or Remote Position
**Physical work site required**
Never
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
**Pay Range Minimum:**
$78,900.00
**Pay Range Maximum:**
$147,500.00
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J

**Company :**
Highmark Health
**Job Description :**
**JOB SUMMARY**
This role would build intelligent systems that not only generate novel content and data but also exhibit autonomous decision-making and action-taking capabilities. This role requires a strong foundation in software engineering principles to effectively develop, integrate, and deploy these advanced AI solutions. By leveraging large language models and other generative techniques to create sophisticated AI agents capable of independent problem-solving and goal achievement, this role will be instrumental in developing cutting-edge intelligent applications that will significantly enhance our operational efficiency and create novel product features.
**ESSENTIAL RESPONSIBILITIES**
+ Designing, developing, and deploying generative AI models (e.g., LLMs, diffusion models)
+ Architecting and building agentic systems with autonomous decision-making capabilities
+ Integrating generative AI and agentic solutions into existing products and services
+ Developing and maintaining the software infrastructure required for AI/ML pipeline
+ Developing and implementing data pipelines for training and evaluating AI models
+ Collaboration, Documentation, Monitoring & Evaluation of AI Systems
+ Conducting research and experimentation with new generative AI and agentic techniques
+ Other duties as assigned or requested
**EXPERIENCE**
**Required**
+ 5 years' experience in Software Development experience (Python preferred)
+ 3 years' experience working with large language models (LLMs)
+ 3 years' experience in Building and deploying AI agent systems or similar autonomous systems
+ 2 years' experience in Developing and deploying machine learning models in production
**Preferred**
+ 2 years' Familiarity with Cloud Computing Platforms
+ 1 year experience working with specific Agentic Frameworks (like LangChain, AutoGPT,Semantic Kernel, etc.)
+ 1 year experience in Deploying AI models at scale in high-throughput, low-latency environments
**SKILLS**
+ Proficient in Python and relevant AI/ML libraries
+ Significant experience in prompt engineering and fine tuning LLM models
+ Knowledge and experience in different generative AI techniques and their applications
+ Ability to design and implement agentic frameworks and architectures
+ Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.)
+ Familiarity with MLOps principles and tools for model deployment and monitoring
+ Understanding of the security implications and mitigation strategies for generative AI and agentic systems
+ Ability to stay up-to-date with the latest advancements in AI and generative models
+ Strong problem-solving and analytical skills
+ Excellent communication and collaboration skills
**EDUCATION**
**Required**
+ Bachelor's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees.
**Preferred**
+ Master's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees
**LICENSES or CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ Google Cloud Professional Machine Learning Engineer
**Language (Other than English):**
None
**Travel Required:**
Less than 25%
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
**Position Type**
Office-Based or Remote Position
**Physical work site required**
Never
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
**Pay Range Minimum:**
$78,900.00
**Pay Range Maximum:**
$147,500.00
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J

**Company :**
Highmark Health
**Job Description :**
**JOB SUMMARY**
This role would build intelligent systems that not only generate novel content and data but also exhibit autonomous decision-making and action-taking capabilities. This role requires a strong foundation in software engineering principles to effectively develop, integrate, and deploy these advanced AI solutions. By leveraging large language models and other generative techniques to create sophisticated AI agents capable of independent problem-solving and goal achievement, this role will be instrumental in developing cutting-edge intelligent applications that will significantly enhance our operational efficiency and create novel product features.
**ESSENTIAL RESPONSIBILITIES**
+ Designing, developing, and deploying generative AI models (e.g., LLMs, diffusion models)
+ Architecting and building agentic systems with autonomous decision-making capabilities
+ Integrating generative AI and agentic solutions into existing products and services
+ Developing and maintaining the software infrastructure required for AI/ML pipeline
+ Developing and implementing data pipelines for training and evaluating AI models
+ Collaboration, Documentation, Monitoring & Evaluation of AI Systems
+ Conducting research and experimentation with new generative AI and agentic techniques
+ Other duties as assigned or requested
**EXPERIENCE**
**Required**
+ 5 years' experience in Software Development experience (Python preferred)
+ 3 years' experience working with large language models (LLMs)
+ 3 years' experience in Building and deploying AI agent systems or similar autonomous systems
+ 2 years' experience in Developing and deploying machine learning models in production
**Preferred**
+ 2 years' Familiarity with Cloud Computing Platforms
+ 1 year experience working with specific Agentic Frameworks (like LangChain, AutoGPT,Semantic Kernel, etc.)
+ 1 year experience in Deploying AI models at scale in high-throughput, low-latency environments
**SKILLS**
+ Proficient in Python and relevant AI/ML libraries
+ Significant experience in prompt engineering and fine tuning LLM models
+ Knowledge and experience in different generative AI techniques and their applications
+ Ability to design and implement agentic frameworks and architectures
+ Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.)
+ Familiarity with MLOps principles and tools for model deployment and monitoring
+ Understanding of the security implications and mitigation strategies for generative AI and agentic systems
+ Ability to stay up-to-date with the latest advancements in AI and generative models
+ Strong problem-solving and analytical skills
+ Excellent communication and collaboration skills
**EDUCATION**
**Required**
+ Bachelor's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees.
**Preferred**
+ Master's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees
**LICENSES or CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ Google Cloud Professional Machine Learning Engineer
**Language (Other than English):**
None
**Travel Required:**
Less than 25%
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
**Position Type**
Office-Based or Remote Position
**Physical work site required**
Never
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
**Pay Range Minimum:**
$78,900.00
**Pay Range Maximum:**
$147,500.00
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J

**Company :**
Highmark Health
**Job Description :**
**JOB SUMMARY**
This role would build intelligent systems that not only generate novel content and data but also exhibit autonomous decision-making and action-taking capabilities. This role requires a strong foundation in software engineering principles to effectively develop, integrate, and deploy these advanced AI solutions. By leveraging large language models and other generative techniques to create sophisticated AI agents capable of independent problem-solving and goal achievement, this role will be instrumental in developing cutting-edge intelligent applications that will significantly enhance our operational efficiency and create novel product features.
**ESSENTIAL RESPONSIBILITIES**
+ Designing, developing, and deploying generative AI models (e.g., LLMs, diffusion models)
+ Architecting and building agentic systems with autonomous decision-making capabilities
+ Integrating generative AI and agentic solutions into existing products and services
+ Developing and maintaining the software infrastructure required for AI/ML pipeline
+ Developing and implementing data pipelines for training and evaluating AI models
+ Collaboration, Documentation, Monitoring & Evaluation of AI Systems
+ Conducting research and experimentation with new generative AI and agentic techniques
+ Other duties as assigned or requested
**EXPERIENCE**
**Required**
+ 5 years' experience in Software Development experience (Python preferred)
+ 3 years' experience working with large language models (LLMs)
+ 3 years' experience in Building and deploying AI agent systems or similar autonomous systems
+ 2 years' experience in Developing and deploying machine learning models in production
**Preferred**
+ 2 years' Familiarity with Cloud Computing Platforms
+ 1 year experience working with specific Agentic Frameworks (like LangChain, AutoGPT,Semantic Kernel, etc.)
+ 1 year experience in Deploying AI models at scale in high-throughput, low-latency environments
**SKILLS**
+ Proficient in Python and relevant AI/ML libraries
+ Significant experience in prompt engineering and fine tuning LLM models
+ Knowledge and experience in different generative AI techniques and their applications
+ Ability to design and implement agentic frameworks and architectures
+ Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.)
+ Familiarity with MLOps principles and tools for model deployment and monitoring
+ Understanding of the security implications and mitigation strategies for generative AI and agentic systems
+ Ability to stay up-to-date with the latest advancements in AI and generative models
+ Strong problem-solving and analytical skills
+ Excellent communication and collaboration skills
**EDUCATION**
**Required**
+ Bachelor's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees.
**Preferred**
+ Master's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees
**LICENSES or CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ Google Cloud Professional Machine Learning Engineer
**Language (Other than English):**
None
**Travel Required:**
Less than 25%
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
**Position Type**
Office-Based or Remote Position
**Physical work site required**
Never
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
**Pay Range Minimum:**
$78,900.00
**Pay Range Maximum:**
$147,500.00
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J