8,079 AI Innovation jobs in the United States

The anticipated hiring range for this position is $70,000 to $75,000. Hiring offers will be determined based on the final candidate’s qualifications and experience. The recruiter can share more information about what the anticipated hiring salary would be based upon your specific qualifications during the selection process.

The CIA offers a substantial benefits package that includes medical coverage available at no cost to qualifying employees, dental insurance, vision insurance, life insurance, short and long term disability insurance, retirement savings plan with high employer contributions, a generous paid time off program, and more!

As the benefits package at the CIA results in a significant value above the base hiring salary for this position, we encourage you to apply so that our recruiters can share more information with you about the benefits of working for the CIA.

POSITION SUMMARY

The AI & Innovation Specialist is responsible for creating and executing the institution's comprehensive strategy for Artificial Intelligence (AI) in academic areas. The AI & Innovation Specialist is responsible for the lifecycle of AI integration, from pioneering faculty development programs and shaping curriculum to establishing best practices for ethical and effective implementation in the classroom. This is a key position charged with pioneering the future of AI in our academic environment.

ESSENTIAL RESPONSIBILITIES

• Strategic Leadership for Academic AI:
  
  • Responsible for developing a strategy for integrating AI into the academic life of the institution, with a direct focus on enhancing teaching methodologies, curriculum design, and faculty research capabilities.
  • Drive the vision for how faculty can responsibly leverage AI, serving as the primary advisor on emerging opportunities and best practices in higher education.
  • Continuously monitor, evaluate, and report on AI trends and tools relevant to pedagogy and academic disciplines.
  • Provide reports on progress to the Senior Dean with findings and recommendations. Accountable for following up on any gaps.
• Faculty Empowerment & Program Execution:
  
  • Serve as the lead subject matter expert on academic AI applications, personally architecting and executing a comprehensive support and education program for faculty.
  • Build and foster a vibrant community of practice, moving beyond one-on-one consultation to create and deliver impactful workshops, learning resources, and knowledge-sharing forums that empower faculty to innovate confidently.
  • Develop workshop opportunities that are directly related to how AI can be used in the Food, Beverage and Hospitality industry.
  • Develop the best practices for instruction focused on food, beverage, and hospitality that will prepare students to thrive in a tech-enhanced industry while still embracing the heart of service.
  • Introduce faculty to AI platforms that, for example, suggest flavor pairings, dietary adjustments, cultural fusion ideas, as well as other content related to the Culinary Institute of America curriculum.
• Academic Governance & Ethical Frameworks:
  
  • Establish and take responsibility for guiding frameworks and best practices for the responsible, ethical, and effective use of AI in all academic and research settings.
  • Develop and implement clear guidelines for faculty and students on the appropriate use of AI tools in coursework, including creating sample language syllabus and policies that uphold academic integrity.
• Pedagogical Innovation & Impact Analysis:
  
  • Lead the evaluation, piloting, and recommendation of AI tools that directly support innovative teaching practices and enhance student learning outcomes.
  • Develop and track key metrics to measure the adoption and effectiveness of AI tools in the classroom. Analyze this data to report on pedagogical impact and continuously refine the academic AI strategy.
• Any and all other duties as assigned.

REQUIRED QUALIFCATIONS

Education:

• Bachelor’s degree in Education, Instructional Design Technology, Education Technology, or a closely related field.

Experience:

• Minimum of 1 year of demonstrated experience in a role involving educational technology, instructional design, or the application of emerging technologies within an academic or professional training environment.

PREFERRED QUALIFCATIONS

• Master's degree in a relevant field.
• Direct experience working in a higher education environment, supporting faculty and academic programs.
• Experience in the formal development and implementation of institutional policies related to technology and academic integrity.
• Experience conducting or supporting formal research projects.
• Experience with implementation of transformative educational technology.

REQUIRED SKILLS

• Strong understanding of core AI concepts (e.g., machine learning, large language models, natural language processing) and their practical applications in education.
• Hands-on proficiency with a range of AI tools and platforms relevant to pedagogy and research.
• Familiarity with Learning Management Systems (LMS), such as Moodle, and their integration with third-party educational technologies.
• Ability to synthesize outcomes from AI projects and pilots to assess effectiveness and inform strategy.
• Proven ability to architect, develop, and deliver effective training programs, workshops, and learning resources (videos, tutorials, guides) for a diverse faculty audience.
• Strong instructional design skills with an understanding of how to effectively integrate technology into curriculum to enhance learning.
• Comprehensive knowledge of AI ethics, data privacy, security, and compliance considerations within an academic context.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-expert audiences.
• Demonstrated ability to build collaborative relationships and foster a community of practice among faculty and academic staff.
• Proven skill in facilitating productive discussions and workshops that drive technology integration and innovation.
• Comfort working with autonomy on a range of evolving projects within a structure that emphasizes shared learning, transparency, and support.
• Strong problem-solving, analytical, and change management skills, with the ability to support and guide faculty through technological transitions.

WORKING CONDITIONS

• Regular work requires the use of a computer, sometimes in excess of eight (8) hours per day.
• Must be available to work nights and weekends as required due to business needs.

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

The anticipated hiring range for this position is $70,000 to $75,000. Hiring offers will be determined based on the final candidate’s qualifications and experience. The recruiter can share more information about what the anticipated hiring salary would be based upon your specific qualifications during the selection process.

The CIA offers a substantial benefits package that includes medical coverage available at no cost to qualifying employees, dental insurance, vision insurance, life insurance, short and long term disability insurance, retirement savings plan with high employer contributions, a generous paid time off program, and more!

As the benefits package at the CIA results in a significant value above the base hiring salary for this position, we encourage you to apply so that our recruiters can share more information with you about the benefits of working for the CIA.

POSITION SUMMARY

The AI & Innovation Specialist is responsible for creating and executing the institution's comprehensive strategy for Artificial Intelligence (AI) in academic areas. The AI & Innovation Specialist is responsible for the lifecycle of AI integration, from pioneering faculty development programs and shaping curriculum to establishing best practices for ethical and effective implementation in the classroom. This is a key position charged with pioneering the future of AI in our academic environment.

ESSENTIAL RESPONSIBILITIES

• Strategic Leadership for Academic AI:
  
  • Responsible for developing a strategy for integrating AI into the academic life of the institution, with a direct focus on enhancing teaching methodologies, curriculum design, and faculty research capabilities.
  • Drive the vision for how faculty can responsibly leverage AI, serving as the primary advisor on emerging opportunities and best practices in higher education.
  • Continuously monitor, evaluate, and report on AI trends and tools relevant to pedagogy and academic disciplines.
  • Provide reports on progress to the Senior Dean with findings and recommendations. Accountable for following up on any gaps.
• Faculty Empowerment & Program Execution:
  
  • Serve as the lead subject matter expert on academic AI applications, personally architecting and executing a comprehensive support and education program for faculty.
  • Build and foster a vibrant community of practice, moving beyond one-on-one consultation to create and deliver impactful workshops, learning resources, and knowledge-sharing forums that empower faculty to innovate confidently.
  • Develop workshop opportunities that are directly related to how AI can be used in the Food, Beverage and Hospitality industry.
  • Develop the best practices for instruction focused on food, beverage, and hospitality that will prepare students to thrive in a tech-enhanced industry while still embracing the heart of service.
  • Introduce faculty to AI platforms that, for example, suggest flavor pairings, dietary adjustments, cultural fusion ideas, as well as other content related to the Culinary Institute of America curriculum.
• Academic Governance & Ethical Frameworks:
  
  • Establish and take responsibility for guiding frameworks and best practices for the responsible, ethical, and effective use of AI in all academic and research settings.
  • Develop and implement clear guidelines for faculty and students on the appropriate use of AI tools in coursework, including creating sample language syllabus and policies that uphold academic integrity.
• Pedagogical Innovation & Impact Analysis:
  
  • Lead the evaluation, piloting, and recommendation of AI tools that directly support innovative teaching practices and enhance student learning outcomes.
  • Develop and track key metrics to measure the adoption and effectiveness of AI tools in the classroom. Analyze this data to report on pedagogical impact and continuously refine the academic AI strategy.
• Any and all other duties as assigned.

REQUIRED QUALIFCATIONS

Education:

• Bachelor’s degree in Education, Instructional Design Technology, Education Technology, or a closely related field.

Experience:

• Minimum of 1 year of demonstrated experience in a role involving educational technology, instructional design, or the application of emerging technologies within an academic or professional training environment.

PREFERRED QUALIFCATIONS

• Master's degree in a relevant field.
• Direct experience working in a higher education environment, supporting faculty and academic programs.
• Experience in the formal development and implementation of institutional policies related to technology and academic integrity.
• Experience conducting or supporting formal research projects.
• Experience with implementation of transformative educational technology.

REQUIRED SKILLS

• Strong understanding of core AI concepts (e.g., machine learning, large language models, natural language processing) and their practical applications in education.
• Hands-on proficiency with a range of AI tools and platforms relevant to pedagogy and research.
• Familiarity with Learning Management Systems (LMS), such as Moodle, and their integration with third-party educational technologies.
• Ability to synthesize outcomes from AI projects and pilots to assess effectiveness and inform strategy.
• Proven ability to architect, develop, and deliver effective training programs, workshops, and learning resources (videos, tutorials, guides) for a diverse faculty audience.
• Strong instructional design skills with an understanding of how to effectively integrate technology into curriculum to enhance learning.
• Comprehensive knowledge of AI ethics, data privacy, security, and compliance considerations within an academic context.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-expert audiences.
• Demonstrated ability to build collaborative relationships and foster a community of practice among faculty and academic staff.
• Proven skill in facilitating productive discussions and workshops that drive technology integration and innovation.
• Comfort working with autonomy on a range of evolving projects within a structure that emphasizes shared learning, transparency, and support.
• Strong problem-solving, analytical, and change management skills, with the ability to support and guide faculty through technological transitions.

WORKING CONDITIONS

• Regular work requires the use of a computer, sometimes in excess of eight (8) hours per day.
• Must be available to work nights and weekends as required due to business needs.

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

**Overview**
We are seeking a hands-on, creative, and technically strong **AI Innovation Engineer** to support our client delivery teams in bringing modern AI solutions to life within public-sector organizations. This role is focused on client enablement, prototyping, and cross-functional engagement-helping our clients understand the potential of AI, design proofs-of-concept, and build working prototypes that demonstrate value in their specific mission context.
The ideal candidate combines strong technical skills (especially with GenAI, LLMs, data pipelines, and cloud-native services) with the ability to collaborate across disciplines-working with DevSecOps teams, cloud working groups, data stewards, and communities of practice to drive AI adoption and build momentum. You'll play a critical role in bridging the gap between strategy and execution, demonstrating how AI can solve real-world problems and catalyze digital transformation.
**Contributions**
This role is ideal for someone who thrives at the intersection of **technical innovation and human-centered impact.** You'll help our clients not only understand what AI can do, but also show them how through prototypes, pilots, and practice. You'll be an early advocate for the latest AI service offerings that are available for our clients. You'll join a collaborative, forward-leaning culture that values exploration, rapid iteration, and practical impact. You'll contribute to the growth of our AI & Data Exploitation Practice.
**Your key contributions include:**
+ **Client AI Enablement & Education**
+ Serve as a trusted advisor to the client organization on modern AI capabilities, best practices, and responsible use
+ Develop AI education materials, tutorials, demo videos, and onboarding sessions that are tailored to the client organization's needs
+ Lead or support AI enablement events such as workshops, lunch-and-learns, innovation sprints, and capability briefings
+ **Prototyping & Proof-of-Concepts**
+ Design and implement AI prototypes and proof-of-concept solutions tailored to specific mission use cases (e.g., summarization, entity extraction, classification, semantic search)
+ Work with cloud platform teams to integrate prototypes into modern cloud environments (e.g., AWS Bedrock, GCP Vertex AI, Azure OpenAI)
+ Leverage RAG pipelines, orchestration frameworks (LangChain, LlamaIndex), and LLM APIs to rapidly deliver working demos
+ **Cross-Functional Integration**
+ Participate in communities of practice and cross-team working groups (e.g., cloud, data, architecture, cybersecurity) to ensure AI adoption is aligned with broader modernization goals
+ Share findings, prototype patterns, and reusable components across delivery teams to accelerate reuse and scale impact
+ Serve as a liaison between data scientists, platform engineers, and user-facing teams to ensure end-to-end viability of AI solutions
+ **Standards, Security & Compliance**
+ Ensure all AI solutions are designed with responsible AI principles, data sensitivity awareness, and security-first practices
+ Collaborate with compliance and governance stakeholders to vet tools, define usage boundaries, and mitigate risks in AI application
**Qualifications**
**Required**
+ Ability to hold a position of public trust with the US government.
+ Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
+ 3+ years of experience in software engineering, data engineering, or applied AI/ML roles.
+ Demonstrated hands-on experience with modern GenAI tooling, such as:
+ OpenAI (GPT-4), Claude, Gemini, Llama 3
+ LangChain, LlamaIndex, or similar RAG frameworks
+ AWS Bedrock, GCP Vertex AI, Azure OpenAI Service
+ Vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma)
+ Strong Python development skills with familiarity in building data pipelines, API wrappers, and lightweight front-ends for demos.
+ Ability to build and present AI-powered demos to both technical and non-technical audiences.
+ Familiarity with DevSecOps and CI/CD principles.
+ Familiarity with GitHub.
+ Experience engaging with external clients or business stakeholders in a consultative role.
+ Relevant Professional Certification(s)
**Preferred Qualifications**
+ Experience delivering AI capabilities into federal government agencies or highly regulated industries.
+ Experience customizing AI services for biomedical or health research.
+ Understanding of NIST AI Risk Management Framework and other public-sector digital policy memos.
+ Hands-on knowledge of data governance, PII handling, and compliance-aware prototyping.
+ Exposure to Human-Centered Design practices, user research synthesis, or journey mapping.
+ Prior involvement in standing up or contributing to an AI Community of Practice or Innovation Hub.
**About** **steampunk**
**Identity Statement**
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
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**Job Location** _US-VA-McLean_
**Posted Date** _3 weeks ago_ _(9/17/2025 2:31 PM)_
**_Job ID_** _6832_
**_Clearance Requirement_** _Public Trust_

Job Description
**General Descripion:**
The Advanced Analytics team at BeOne Medicines is seeking an Associate Director, AI Innovation, to drive the integration and enablement of AI-driven platforms, with experience leveraging Retrieval-Augmented Generation (RAG) models and agentic AI approaches to synthesize vast datasets and generate actionable insights. This role is pivotal in enhancing data-driven decision-making across Commercial, Medical, and cross-functional teams in the US, EU, and Canada, ultimately supporting patient outcomes and business growth.
As a strategic thought partner, you will translate complex data into clear, actionable insights, enabling BeOne Medicines to optimize business performance, improve patient engagement, and accelerate innovation in the oncology space.
Our dynamic and collaborative team consists of data scientists, AI specialists, and analytics experts, all working to drive a culture of AI-driven insights and decision intelligence. We believe in fast iteration, open feedback, and constructive debate, ensuring we deliver high-impact solutions efficiently.
Join us in shaping the future of AI-driven insights at BeOne Medicines and making a tangible impact on global healthcare.
**Essential Functions of the job:**
+ Lead the integration, enablement, and innovation of AI-driven platforms, incorporating RAG models and agentic AI to automate data synthesis and insight generation.
+ Develop and implement Retrieval-Augmented Generation (RAG) pipelines to enable real-time, context-aware insights for decision support.
+ Leverage agentic AI approaches to build autonomous AI agents that continuously optimize data-driven recommendations and adapt to changing business needs.
+ Apply advanced AI techniques (e.g., NLP, deep learning, predictive analytics) to transform structured and unstructured data into business-critical insights.
+ Develop AI-driven decision-support tools to optimize commercial strategy and enhance medical engagement.
+ Collaborate cross-functionally with Commercial, Medical, and other key stakeholders to identify AI-driven opportunities and deploy AI solutions effectively.
+ Evaluate and refine AI models for improved accuracy, efficiency, and business impact in decision-making processes.
+ Design and implement scalable AI-driven analytics frameworks, enabling real-time data interpretation and scenario modeling.
+ Conduct hypothesis-driven exploratory analyses, leveraging deep learning, NLP, and generative AI to uncover actionable insights.
+ Stay at the forefront of AI innovation, continuously evaluating new methodologies, tools, and platforms to enhance BeiGene's AI capabilities.
+ Present insights and AI-driven recommendations to senior leadership, ensuring strategic alignment and impact.
**Education Required:**
+ Master's or PhD in AI, Data Science, Computer Science, Engineering, Statistics, or a related field.
**Qualifications:**
+ PhD with 8 plus years or a Master's with 10 plus years of experience in AI-driven analytics, machine learning, or data science applications.
+ 8 plus years of consulting or commercial pharmaceutical industry experience
+ Hands-on experience with Retrieval-Augmented Generation (RAG) models, integrating AI models with enterprise knowledge bases for real-time insight generation.
+ Experience working with vector databases (e.g., Pinecone, FAISS, Weaviate) for efficient similarity search and knowledge retrieval.
+ Deep understanding of agentic AI approaches, developing AI agents that autonomously improve model outputs and adapt to evolving data needs.
+ Expertise in NLP, deep learning, and machine learning for enhancing AI-based insights.
+ Advanced knowledge of ML algorithms (classification, regression, clustering, reinforcement learning, and anomaly detection).
+ Hands-on experience with big data environments (Hadoop, Spark) and AI tools (Snowflake, Databricks, LangChain).
+ Proficiency in Python, SQL, and cloud-based AI services (AWS, Azure, or GCP).
+ Strong grasp of statistical methodologies, including Bayesian inference, A/B testing, and causal inference.
**Business Acumen & Leadership:**
+ Ability to translate complex AI insights into clear, strategic recommendations for business leaders.
+ Strong influencing skills, collaborating effectively with Commercial, Medical, and cross-functional teams.
+ Experience leading AI/analytics initiatives that drive measurable business impact.
+ Excellent communication and storytelling skills, making AI-driven insights accessible and actionable for executives.
**Supervisory Responsibilities:**
+ Yes
**Travel:**
+ 15-20%
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Job Description
**General Descripion:**
The Advanced Analytics team at BeOne Medicines is seeking an Associate Director, AI Innovation, to drive the integration and enablement of AI-driven platforms, with experience leveraging Retrieval-Augmented Generation (RAG) models and agentic AI approaches to synthesize vast datasets and generate actionable insights. This role is pivotal in enhancing data-driven decision-making across Commercial, Medical, and cross-functional teams in the US, EU, and Canada, ultimately supporting patient outcomes and business growth.
As a strategic thought partner, you will translate complex data into clear, actionable insights, enabling BeOne Medicines to optimize business performance, improve patient engagement, and accelerate innovation in the oncology space.
Our dynamic and collaborative team consists of data scientists, AI specialists, and analytics experts, all working to drive a culture of AI-driven insights and decision intelligence. We believe in fast iteration, open feedback, and constructive debate, ensuring we deliver high-impact solutions efficiently.
Join us in shaping the future of AI-driven insights at BeOne Medicines and making a tangible impact on global healthcare.
**Essential Functions of the job:**
+ Lead the integration, enablement, and innovation of AI-driven platforms, incorporating RAG models and agentic AI to automate data synthesis and insight generation.
+ Develop and implement Retrieval-Augmented Generation (RAG) pipelines to enable real-time, context-aware insights for decision support.
+ Leverage agentic AI approaches to build autonomous AI agents that continuously optimize data-driven recommendations and adapt to changing business needs.
+ Apply advanced AI techniques (e.g., NLP, deep learning, predictive analytics) to transform structured and unstructured data into business-critical insights.
+ Develop AI-driven decision-support tools to optimize commercial strategy and enhance medical engagement.
+ Collaborate cross-functionally with Commercial, Medical, and other key stakeholders to identify AI-driven opportunities and deploy AI solutions effectively.
+ Evaluate and refine AI models for improved accuracy, efficiency, and business impact in decision-making processes.
+ Design and implement scalable AI-driven analytics frameworks, enabling real-time data interpretation and scenario modeling.
+ Conduct hypothesis-driven exploratory analyses, leveraging deep learning, NLP, and generative AI to uncover actionable insights.
+ Stay at the forefront of AI innovation, continuously evaluating new methodologies, tools, and platforms to enhance BeiGene's AI capabilities.
+ Present insights and AI-driven recommendations to senior leadership, ensuring strategic alignment and impact.
**Education Required:**
+ Master's or PhD in AI, Data Science, Computer Science, Engineering, Statistics, or a related field.
**Qualifications:**
+ PhD with 8 plus years or a Master's with 10 plus years of experience in AI-driven analytics, machine learning, or data science applications.
+ 8 plus years of consulting or commercial pharmaceutical industry experience
+ Hands-on experience with Retrieval-Augmented Generation (RAG) models, integrating AI models with enterprise knowledge bases for real-time insight generation.
+ Experience working with vector databases (e.g., Pinecone, FAISS, Weaviate) for efficient similarity search and knowledge retrieval.
+ Deep understanding of agentic AI approaches, developing AI agents that autonomously improve model outputs and adapt to evolving data needs.
+ Expertise in NLP, deep learning, and machine learning for enhancing AI-based insights.
+ Advanced knowledge of ML algorithms (classification, regression, clustering, reinforcement learning, and anomaly detection).
+ Hands-on experience with big data environments (Hadoop, Spark) and AI tools (Snowflake, Databricks, LangChain).
+ Proficiency in Python, SQL, and cloud-based AI services (AWS, Azure, or GCP).
+ Strong grasp of statistical methodologies, including Bayesian inference, A/B testing, and causal inference.
**Business Acumen & Leadership:**
+ Ability to translate complex AI insights into clear, strategic recommendations for business leaders.
+ Strong influencing skills, collaborating effectively with Commercial, Medical, and cross-functional teams.
+ Experience leading AI/analytics initiatives that drive measurable business impact.
+ Excellent communication and storytelling skills, making AI-driven insights accessible and actionable for executives.
**Supervisory Responsibilities:**
+ Yes
**Travel:**
+ 15-20%
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

The salary range listed is the total compensation that includes base salary and potential monthly commission, with further details to be discussed during the interview process.

The AI Innovation Program Manager is responsible for leading the design, development, and implementation of artificial intelligence and machine learning solutions that enhance intelligent process automation across the organization. This role blends strategic vision with technical expertise, ensuring that AI and automation initiatives are aligned with business objectives while delivering measurable improvements in efficiency, scalability, and innovation.

Essential Job Functions

• Project Management

• Time Management

• Process and Workflow Optimization

• Strategic Thinking

• Data Systems Analysis

• Data Governance

• Effective Communication

• Problem Solving

• Analytical Thinking

Work Experience

• Minimum of 5 years of relevant professional experience, including at least 2 years managing projects in environmental data management, software implementation, or a related field. Proficiency with cloud platforms and robotic process automation (RPA) tools required.

Education/Training

• Bachelor’s degree from an accredited university in Finance, Information Technology, Accounting, or a related discipline preferred. An equivalent combination of education and professional experience may also be considered.

Skills

• Highly detail-oriented, self-motivated, and analytically strong. Exceptional organizational skills with the ability to manage multiple high-priority projects simultaneously. Flexible and adaptable in meeting tight deadlines. Strong verbal and written communication skills. Proficiency in Microsoft Office Suite (Project, Visio, Word, Excel, Outlook, and PowerPoint). Experience with server/network technologies and enterprise-level cloud hosting solutions is strongly preferred.

Job-related location requirement: 

• Candidates must reside in California and within reasonable distance to our corporate office in Rancho Cucamonga, CA.

Schedule:  8:00am - 5:00pm (core business hours). Managers may adjust schedule as needed based on business needs. 

After your first 30 days onsite, you'll transition to our hybrid schedule: 

• In-office: Monday, Tuesday, Thursday 
• Remote: Wednesday, Friday

Physical Demands

• Ability to sit, stand, move, and use hands/fingers for extended periods. May require walking on level surfaces, reaching above shoulder height and below the waist, and occasionally lifting up to 25 pounds. Standard office environment with climate control and moderate, consistent temperatures.

Our client is seeking a visionary Principal Machine Learning Engineer to spearhead innovative AI projects from their **San Jose, California, US** location. This senior role requires a deep theoretical understanding and extensive practical experience in developing and deploying sophisticated machine learning models. You will be at the forefront of research and development, pushing the boundaries of AI to solve complex, real-world problems.

Responsibilities include designing, building, and optimizing machine learning algorithms and systems for various applications. You will lead the entire ML lifecycle, from data exploration and feature engineering to model training, evaluation, and deployment into production environments. This involves working with large-scale datasets, ensuring data quality, and implementing efficient data pipelines.

Collaboration with data scientists, software engineers, and product managers will be key to translating business requirements into effective ML solutions. You will mentor junior engineers, conduct code reviews, and contribute to establishing best practices in ML development and MLOps. The role demands a proactive approach to identifying new opportunities for applying machine learning to enhance products and services.

The ideal candidate holds a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. You should have 10+ years of experience in machine learning engineering, with a significant track record of shipping production-ready ML systems. Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX is mandatory. Strong programming skills in Python and proficiency with libraries like NumPy, Pandas, and Scikit-learn are essential.

Experience with cloud platforms (AWS, Azure, GCP) and their ML services, as well as distributed computing frameworks (Spark, Dask), is highly valued. Candidates should demonstrate excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to diverse audiences. This role offers an exceptional opportunity to make a significant impact in the rapidly evolving field of artificial intelligence.

Our client is seeking a brilliant and innovative Senior Machine Learning Engineer to join their pioneering team focused on AI and Emerging Technologies. This role is crucial for advancing our capabilities in developing and deploying state-of-the-art machine learning models that solve complex business problems and unlock new opportunities. You will be involved in the entire ML lifecycle, from data acquisition and preprocessing, model development and training, to deployment and monitoring in production environments. This position offers a unique opportunity to work with cutting-edge AI research, large-scale datasets, and contribute to groundbreaking technological advancements.

Key Responsibilities:

• Design, develop, and implement scalable and robust machine learning models and algorithms to address specific business challenges.
• Conduct data exploration, feature engineering, and model selection for a variety of machine learning tasks, including predictive modeling, natural language processing, computer vision, etc.
• Train, evaluate, and fine-tune machine learning models using state-of-the-art techniques and frameworks.
• Deploy machine learning models into production environments, ensuring performance, scalability, and maintainability.
• Develop and implement monitoring systems to track model performance, detect drift, and ensure ongoing accuracy.
• Collaborate with data engineers, software engineers, and domain experts to integrate ML solutions into existing systems and workflows.
• Stay abreast of the latest research and advancements in machine learning, deep learning, and artificial intelligence.
• Contribute to the development of best practices and MLOps strategies within the team.
• Mentor junior engineers and share knowledge on machine learning techniques and tools.
• Present findings, model performance, and project outcomes to technical and non-technical stakeholders.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of hands-on experience in developing and deploying machine learning models in production.
• Strong programming skills in Python and proficiency with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of statistical modeling, data mining, and algorithm development.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Familiarity with MLOps principles and tools for model deployment, monitoring, and management.
• Excellent problem-solving skills and the ability to work with complex, large-scale datasets.
• Strong communication and collaboration skills, with the ability to explain technical concepts clearly.
• Experience with containerization technologies (e.g., Docker) is a plus.
• A passion for innovation and pushing the boundaries of AI.

Join our innovative team and shape the future of AI from Portland, Oregon, US .

We're looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies.
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking Machine Learning Intelligence Operations, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
**Job responsibilities**
+ Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
+ Develops secure and high-quality production code, and reviews and debugs code written by others
+ Drives decisions that influence the product design, application functionality, and technical operations and processes
+ Actively contributes to the engineering community as an advocate of firm-wide frameworks, tools, and practices of the Software Development Life Cycle
+ Influences peers and project decision-makers to consider the use and application of leading-edge technologies
+ Adds to the team culture of diversity, opportunity, inclusion, and respect
**Required qualifications, capabilities, and skills**
+ Formal training or certification on software engineering concepts and 5+ years applied experience
+ Hands-on practical experience delivering system design, application development, testing, and operational stability
+ Advanced in one or more programming language(s) (Java, Python)
+ Practical AWS cloud native experience
+ Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., AI/ML, UI development, mobile development etc.)
+ Ability to tackle design and functionality problems independently with little to no oversight
+ Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
**Preferred qualifications, capabilities, and skills**
+ Hands on experience with GenAI and AI Agents
+ Proficient and hands On with Terraform for Infrastructure Deployment and knowledge of EAC is a plus
+ Proficient and hands on with AWS Container Orchestration Services like ECS and EKS.
+ Experience with ML Engineering
+ Extensive experience with Amazon Web Services (AWS), including deploying, managing, and scaling applications using services such as EC2, S3, Lambda, and RDS
+ Proficiency in AWS security best practices and cost optimization strategies
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans