11,027 Artificial Intelligence Specialist jobs in the United States

Artificial Intelligence Specialist

12260 Albany, New York Staffing Solutions Organization

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Job Description

Staffing Solutions Organization LLC (SSO), an affiliate of Public Consulting Group LLC (PCG), is focused on delighting clients with world-class managed staffing and talent consulting services. SSO is committed to a diverse workforce, which is a reflection of our clients and the people they serve.
**Artificial Intelligence Specialist - Albany, NY**
**DDSA - 1167**
**Summary**
The AI Solutions Architect is responsible for designing and implementing enterprise-scale AI/ML solutions that drive actionable insights and improve healthcare analytics, with a focus on Medicaid-related data. This role requires expertise in AI/ML architecture, AI governance, MLOps, and cloud-based AI platforms, ensuring solutions are scalable, reliable, and compliant with regulatory requirements. The AI Solutions Architect will work closely with stakeholders, data analysts, and technical teams to identify AI-driven opportunities, develop AI roadmaps, and lead the implementation of high-performance AI models.
**Additional Requirements and/or certifications desired for position**
**Required Skills:**
+ 8+ years of experience in AI/ML development and architecture, with at least 3+ years as an AI Solutions Architect.
+ Expertise in machine learning, deep learning, and AI frameworks.
+ 8+ years of advanced statistical programming in Python or R. Experience with C++ is a bonus
+ Experience implementing large-scale AI solutions in cloud-based platforms (e.g., AWS, GCP, Microsoft Azure)
+ Proven ability to optimize AI performance for large datasets, balancing computational efficiency and cost.
+ Hands-on experience in MLOps, CI/CD for AI models, and automation tools (e.g., Terraform, Kubernetes, MLFlow).
+ Strong understanding of AI model deployment, monitoring, and retraining in production environments.
+ Excellent communication and leadership skills, with the ability to translate AI capabilities into business value.
**Preferred Skills:**
+ Experience in healthcare AI applications, including Medicaid analytics, population health, and predictive modeling.
+ Knowledge of AI ethics, bias mitigation, and regulatory compliance (HIPAA, AI governance standards).
+ Experience running MLPerf benchmarks and optimizing AI models for high-performance computing (HPC) environments.
+ Strong background in API development/integration and experience with relational and non-relational database design.
+ Ability to mentor and guide data scientists, ML engineers, and technical teams in AI best practices.
+ Work with OHIP's AI Center of Excellence to establish AI best practices, governance frameworks, and compliance protocols.
**Responsibilities:**
+ Understanding the program area business processes and objectives.
+ Supporting OHIP's AI Center of Excellence by building solutions spanning data, AI and Infrastructure, and working with vendors and peers to holistically leverage AI service offerings into overall architecture.
+ Make recommendations on enterprise architectures, platforms, and application infrastructures required to successfully implement complete solutions, providing best practice advice to optimize effectiveness of AI solutions for analytics.
+ Differentiate by working across teams on POCs, demonstrating features, tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues training/serving models in a large-scale environment.
+ Build repeatable technical assets such as scripts, templates, reference architectures to enable internal teams. Work cross-functionally to influence DDSA's AI strategic roadmap and product direction at the intersection of robust data analytics and AI/ML.
**Educational Background:**
+ Bachelor's/Master's in Computer Science, AI, Data Science, or a related field OR equivalent industry experience.
Compensation for roles at Staffing Solutions Organization LLC (SSO) varies depending on a wide array of factors including, but not limited to, the specific office location, role, skill set, and level of experience. As required by applicable law, SSO provides a reasonable range of compensation for this role. In addition, SSO provides a range of benefits for this role.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, marital status, age, national origin, protected veteran status, or disability. Staffing Solutions Organization LLC is an e-Verify participant.
**Job Details**
**Pay Type** **Salary**
**Education Level** **Equivalent Experience**
**Telecommute Percentage** **50**
**Hiring Min Rate** **78,000 USD**
**Hiring Max Rate** **95,000 USD**
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Lead Artificial Intelligence Specialist

28245 Charlotte, North Carolina Duke Energy

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More Than A Career - A Chance To Make A Difference In Peoples Lives

Build an exciting, rewarding career with us help us make a difference for millions of people every day. Consider joining the Duke Energy team, where you'll find a friendly work environment, opportunities for growth and development, recognition for your work, and competitive pay and benefits.

Position Summary

As a Lead Artificial Intelligence Specialist in the MADLab, you will play a crucial role in educating both technical and non-technical individuals about AI. You will present AI topics in settings ranging from one-on-one meetings to large groups that may encompass hundreds of people. You will serve as the AI expert for AI-specific design thinking workshops, helping participants understand what AI is and what it can and cannot do. In these workshops, you will serve as the AI expert, focusing on ideation, early-stage idea development, and understanding the groups' AI readiness. In addition, you will collaborate with technical teams to stay current on AI tools and products available both within Duke Energy and across the broader market. You'll assess the feasibility of ideas generated during workshops by developing short-term feasibility studies and pilots using AWS and Python and apply prompt engineering techniques for use cases suited to tools like Copilot or other LLM/Multi-modal models. This role requires someone who is proactive, collaborative, and confident interfacing directly with business partners through general conversation, presentations, demos and AI-focused discussions.

Responsibilities
  • Support, collaborate & work alongside Data Scientists and AI Specialists to ensure data optimization, model performance & delivery
  • Growing AI knowledge through partnerships with various lines of business's
  • Team member mentor (professional and technical development)
  • Team leader AI compliance (Cyber, Cloud, Architecture)
  • Support various product teams with dev, implement & deployment
  • Ensure product teams are well represented and properly staffed
  • Complete understanding of team product portfolio and value proposition
  • Assists with discovery on bleeding edge technologies/tools to incorporate within team
Required/Basic Qualifications
  • Associates degree
  • Minimum 7 years related work experience
  • In lieu of Associates degree(s) AND 7 year(s) related work experience listed above, High School/GED AND 9 year(s) related work experience
Desired Qualifications
  • Knowledge of Artificial Intelligence, Machine Learning technologies classifications, regressions and neural networks (Deep Learning)
Working Conditions
  • Hybrid Mobility Classification Work will be performed from both remote and onsite locations after the onboarding period. However, hybrid employees should live within a reasonable daily commute to a Duke Energy facility.
  • Office Job environment day shift.
Specific Requirements
  • Experience in working with Data Scientist within an AI Organization
  • Strong communication skills
  • Team player

Travel Requirements 5-15%

Relocation Assistance Provided (as applicable)

No

Represented/Union Position

No

Visa Sponsored Position

No

Posting Expiration Date Tuesday, July 29, 2025 All job postings expire at 12:01 AM on the posting expiration date.

Please note that in order to be considered for this position, you must possess all of the basic/required qualifications.

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Artificial Intelligence Specialist (San Francisco)

94110 San Francisco, California Bestinfo Systems LLC

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Job Description

full time

Direct message the job poster from Bestinfo Systems LLC

Global Delivery Head BestInfo Systems LLC, Founder & CEO Best Infosystems Ltd

Position: AI Agent Builder

Job Type: Full-Time (FTE)

Base Salary: $100,000 to $00,000 + Best-in-class benefits

Role Impact:

This is a hybrid position focusing on the quick and iterative development of AI agents and frameworks, as well as advancing the underlying infrastructure. You will:

  • Build next-generation AI agents for workload management and automation.
  • Develop the underlying agent infrastructure powering various types of agents.
  • Engage in DevRel and create content to promote adoption, foster community collaboration, and align technical and product goals.
Core Technical Responsibilities: Rapid AI Agent Development:
  • Prototype & Iterate: Build and refine AI agents for workload management, automation, and real-time decision-making.
  • Framework Integration: Extend agent frameworks to accommodate evolving features and performance needs.
  • Experimental Features: Explore new capabilities like multi-agent collaboration and memory architectures to inform design decisions.
Technical Requirements: Agent & Platform Skills:
  • Python (FastAPI, Async): Building agent logic, REST APIs, backend services.
  • Pytorch
  • TypeScript/React/Next.js: Creating dashboards and visualizations for monitoring.
  • Real-time & WebSocket Systems: Building streaming or live-updating UIs.
  • API Design: Crafting intuitive interfaces for agent communication.
Infrastructure Skills:
  • Rust: Systems programming for high-performance components.
  • Kubernetes, Docker: Container orchestration and deployment.
  • Infrastructure automation and configuration management.
  • Cloud Experience: Familiarity with scalable, cost-effective infrastructure.
Nice to Have:
  • GPU/ML Infrastructure: Optimizing training and inference on GPUs.
  • Advanced AI/ML Knowledge: Understanding model architectures and workflows.
  • High-Performance Networking: Building low-latency data pipelines.
  • Open-Source Contributions: Proven community-driven project experience.

Seniority Level: Mid-Senior

Minimum Education: Bachelor's Degree

Additional Details:
  • Employment Type: Full-time
  • Job Function: Information Technology and Engineering
  • Industries: Information Services, Technology, Media, Software Development

Referrals increase your chances of interviewing at Bestinfo Systems LLC by 2x.

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Location: San Francisco, CA

Salary Range: 90,000 - 300,000 (various postings)

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Senior Artificial Intelligence (AI) Product Specialist

75026 Plano, Texas The Boeing Company

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Job Description

**Job Description**
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Company is currently seeking a **Senior Artificial Intelligence (AI) Product Specialist** to join the team in **Plano, TX** .
The Senior AI Product Specialist will spearhead the development and implementation of data and AI-driven solutions, ensuring alignment with business objectives and fostering a collaborative environment among cross-functional (Enterprise AI and Data (EAID) and Business) teams. Be a visionary leader who can translate complex analytics into actionable business strategies while motivating and guiding team members throughout the project lifecycle.
**Position Responsibilities:**
+ Collaborate with the Analytics Engagement and Business Leaders to gain a deep understanding of the business challenges and objectives
+ Analyze and synthesize insights to define the scope of AI initiatives
+ Organize and lead execution workshops to define the 12-week project scope, identifying key insights, business actions, and the overall value proposition of the AI and data product
+ Assess the project team structure and clarify the roles and responsibilities of each member
+ Facilitate alignment on project goals, timelines, and deliverables
+ Foster a culture of collaboration within the project team, ensuring clear communication and expectations
+ Establish a communication plan that promotes transparency and accountability
+ Conduct a comprehensive kick-off meeting to outline the project charter, team roles, stakeholder expectations, communication strategies, escalation paths, risks, and timelines
+ Develop and maintain product roadmaps that align with business goals
+ Create and manage Azure DevOps stories for team members, facilitating sprint planning and execution
+ Deliver incremental features in each sprint, leveraging thought leadership to optimize sprint planning and delivery
+ Lead stakeholder status updates every three weeks, presenting project progress, demos, data flows, model results, risks, and next steps
+ Translate technical analytics details into business-friendly language to ensure stakeholder understanding and engagement
+ Hold both analytics and business teams accountable for timely deliveries, maintaining consistent messaging regarding business process change management
+ Clarify the actions that business leaders will take based on the AI and data solution
+ Prepare a comprehensive report summarizing project achievements, highlights, and the anticipated business value of the solution
+ Ensure that each team member articulates their contributions, fostering a sense of ownership and recognition
+ Continuously motivate and challenge the project team, instilling a sense of urgency and purpose
+ Lead by example, demonstrating commitment and enthusiasm for the project and its outcomes
**Basic Qualifications (Required Skills/Experience):**
+ 10+ years of experience in business analysis, data warehousing, statistical data mining, and/or data science
+ 5+ years of experience in Supply Chain Management/Logistics Support
+ 5+ years of experience in product management related to data, analytics, and/or artificial intelligence
+ 5+ years of experience in leading program execution in the AI/ML space
+ 3+ years of experience with Cloud hosted platforms such as AWS, Google Cloud Platform, or Azure
+ Experience developing data visualization tools (eg. Spotfire and Tableau)
**Preferred Qualifications (Desired Skills/Experience):**
+ Master's degree in data science
+ Ability to create an effective collaboration across business and cross-functional analytics team
+ Ability to execute flawlessly by removing all barriers and with a sense of urgency
+ Experience in managing and efficiently reporting analytics operations working through helpdesk tickets
**Drug Free Workplace:**
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
**Pay & Benefits:**
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $161,500 - $218,500
Applications for this position will be accepted until **Jul. 28, 2025**
**Export Control Requirements:** This is not an Export Control position.
**Relocation**
This position offers relocation based on candidate eligibility.
**Visa Sponsorship**
Employer willing to sponsor applicants for employment visa status.
**Shift**
This position is for 1st shift
**Equal Opportunity Employer:**
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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Data Science

94199 San Francisco, California Robotics Technologies LLC

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Job Description

Our client, based in San Francisco, is seeking a Director of Data Science for an immediate opportunity!Our client is hiring a Director of Data Science for the San Francisco office to lead the team and collaborate with business leadership. The role involves demonstrating and testing the value of algorithmic products used both internally and externally.The ideal candidate will be a proven leader with strong analysis and programming skills, and an exemplary understanding of statistics and hypothesis testing. Candidates will work with digital marketing teams across all business models, ensuring the proper data sources are utilized.Job Responsibilities:Lead and serve as a knowledge resource for data scientists, supporting and delivering AI/ML-based products.Collaborate with clients to test optimization strategies.Develop innovative solutions and proofs of concept with clients.Work with R&D and Product Engineering teams to build AI/ML products.Promote data-driven methodology and practices within the company.Engage with C-level leadership as a trusted advisor to influence data-driven decision making, maximizing the impact of Data Science outputs.ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer, inclusive of female, minority, disability, and veteran applicants. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected class. The company complies with applicable labor and employment laws and does not require U.S. citizenship or lawful permanent residency unless legally necessary. #J-18808-Ljbffr

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Data Science

01752 Marlborough, Massachusetts Robotics Technologies LLC

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Data Analyst Role at ROBOTICS TECHNOLOGIES LLC Join a data-driven organization focused on data analysis, profiling, and visualization. Analyze critical data to generate insights Hands-on experience with R and Python Proficiency in visualization tools like Tableau Identify data patterns and provide actionable insights Develop and implement statistical models for data analysis Experience in marketing and customer analytics Understanding of various data domains within the retail industry Ability to comprehend business processes and communicate effectively with stakeholders ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer committed to diversity and inclusion, including female, minority, disability, and veteran candidates. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, or immigration status. #J-18808-Ljbffr

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Data Science

21701 Frederick, Maryland Syntricate Technologies

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Job Description

Position- Data Science
Duration-Contract
Location- Urbana, MD

JD
•Minimum 7 years of IT Experience•Minimum 2 years of experience in developing AI enabled solutions•Expert level competency in Python•Hands-on experience developing and deploying Machine Learning solutions•Good knowledge and experience in developing GenAI embedded solutions•Hands-on experience with AI cloud services is an added advantage Key Responsibilities:•Machine Learning based model building, validation, deployment, and monitoring•Developing MLOps solution for continuous development , deployment, and monitoring of solutions•Developing GenAI embedded solutions across various use cases•Rapid experimentation of GenAI use cases using Azure cloud AI and data services•Development and deployment of GenAI embedded solutions using open source solutions

Regards,
Pallavi Verm
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:

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About the latest Artificial intelligence specialist Jobs in United States !

Data Scientist (AI Engineer/ Data Science Engineer)

95199 San Jose, California Tekfortune Inc

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Job Description

Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.

Role: Data Scientist (AI Engineer/ Data Science Engineer)
Location: Remote
Duration: 6+ Months
Required Skills: Data Science, AI / ML, MLOps, Deployment
Job Description:

  • Work alongside of our Data Scientist to deploy automated model pipelines for validation and deployment.
  • Deliver automated pipelines that monitor model performance and retraining of ML models
  • Develop MLOps standards that promote models through production.
  • Support the lifecycle management of deployed AI solutions.
  • Collaborate with stakeholders and communicate changes throughout a model's lifecycle


For more information and other jobs available please contact our recruitment team at To view all the jobs available in the USA and Asia please visit our website at
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Director, Data Science Platform | Data Science Platform

10176 New York, New York Rockefeller University

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Organization Overview
The newly-created Data Science Platform (DSP) supports and advances the research objectives of Rockefeller Universitys faculty and staff by providing training and consultative support in the field of data science especially in the areas of machine learning and artificial intelligence (ML/AI) and deep learning (DL).
Overview
Reporting to the Chief Information Officer, and working primarily with Faculty, Research Staff, Postdoctoral Fellows, and Graduate Students, the Director leads a team of seven (7) Machine Learning Engineers that identify and work closely with internal and external resources to determine how to most effectively support University researchers' needs for applying ML/AI and/or other quantitative approaches to new and existing data sets across a wide variety of disciplines, including structural biology, imaging, microscopy, "omics," neuroscience, immunology/virology, and the physical sciences. The position also includes leadership of the Fisher Center AI Platform, which seeks to apply AI/ML techniques to understand the causes of Alzheimer's disease, improve the care of people living with it, and find a cure.
Responsibilities
Responsibilities include, but are not limited to the following:
+ Consult on experimental design and best usage, with emphasis on best practices for proper analysis and reproducibility;
+ Recruit and manage Data Science Platform staff members;
+ Develop and lead training/classes in ML/AI fundamentals and techniques; adapt and evolve training to best serve the changing needs of the research community;
+ Identify, improve, and/or create appropriate training data sets for ML/AI projects;
+ Advise researchers and collaborators on method selection and implementation, as well as on how to direct research projects to ensure alignment with emerging advancements in deep learning;
+ Maintain awareness of advances in the field and their applicability to problems of interest to members of Rockefeller's research community;
+ Identify and apply for appropriate grant funding opportunities;
+ Additional duties and special projects as assigned.
Qualifications
**REQUIRED QUALIFICATIONS:**
+ Ph.D. or equivalent degree in data science, machine learning, artificial intelligence, computer science, electrical engineering, statistics or a related field.
+ A minimum of ten (10) years of research experience in identifying, formulating and solving biological problems through the application of advanced artificial intelligence technologies.
+ At least two (2) years of leadership experience.
+ A strong publication record in top-tier venues focused on machine learning, artificial intelligence or their domain-specific applications, such as AAAI, NeurIPS, ICML, ICLR, IJCAI, KDD, ICCV, ECCV, CVPR, EMNLP, ACL, MICCAI, IJCV, TPAMI, TIP, ACM-MM, Nature, Nature Methods, Science and equivalent conferences and journals.
+ Broad knowledge on recent advances in artificial intelligence, such as foundation models (including large-language models, vision-language models, genomic foundation models, etc.), generative models, self-supervised learning, large-scale distributed training, efficient deep learning, with research expertise in at least one relevant field.
+ Basic knowledge of the deep learning tool stack, such as PyTorch, Python, CUDA, Linux, and computing cluster management.
+ Must possess excellent communication and interpersonal skills.
**PREFERRED QUALIFICATIONS:**
+ Prior work experience in a research related, academic environment is a plus.
The Rockefeller University is an equal opportunity employer - veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status.
The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Compensation Range: Min
USD $175,000.00/Yr.
Compensation Range: Max
USD $190,000.00/Yr.
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