Job SummaryUnder consultative direction, this position plays a crucial role in shaping our AI strategy, driving generative AI development, maturing our machine learning platforms and processes, and ensuring excellence across our AI/ML initiatives. They will support our long-range strategy, goals, and objectives by designing and developing AI solutions using cloud and on-prem software platforms including Azure, AWS, and others as needed.
DUTIES AND RESPONSIBILITIES:Generative AI Development:
- Lead the design, development, and deployment of integrated custom solutions that leverage generative AI models using various design patterns including Prompting & Context Management, Responsible AI, RAG, Agentic & Multi-Agent workflows, and AI for data analytics.
- Collaborate with data scientists, engineers, and subject matter experts to create AI solutions that provide significant value to the company while keeping ethical considerations and bias mitigation as a priority.
- Design AI solutions with data-classification and sensitivity controls to prevent CUI/export-controlled data exposure to unauthorized environments.
Standards and Best Practices
- Establish coding standards, documentation practices, and quality assurance processes for AI/ML projects.
- Ensure compliance with industry best practices and security protocols such as but not limited to: NIST 800-171, CMMC Level 2, NIST AI RMF and the DoD Responsible AI principles.
- Foster close working partnerships with cyber, risk management and other compliance stakeholders.
LLM Ops Integration
- Design and develop new processes to support the integration of AI/ML pipelines into our GovCloud / Azure Government / GCC High, IL4, CI/CD workflows.
- Automate model deployment, testing, monitoring, and scaling.
- Integrate into approved change control process
- Responsible for model administration, observability, and governance
AI Center of Excellence
- Support the design, build, and growth of our AI Agentic Platform Architecture.
- Drive innovation by staying abreast of AI trends and fostering a culture of continuous learning.
- Collaborate with cross-functional teams to identify new AI opportunities and pilot projects that align with business goals.
- Provide mentorship and technical guidance to other developers in ITS and the business, establishing a Community of Practice for AI.
- Provide second/third tier user support for AI solutions as needed.
- May act in a technical leadership role to lead cross-functional teams in the development and delivery of AI solutions.
- Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.
- Performs other duties as assigned.
Job Qualifications- Typically requires a bachelors masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning experience as follows; nine or more years of experience with a bachelors degree, seven or more years of experience with a masters degree, or four or more years with a PhD. May substitute equivalent machine learning engineer experience in lieu of education.
- Must demonstrate the application of advanced technical principles, theories, concepts, and techniques in the design of machine learning and artificial intelligence solutions.
- Must be proficient with DevOps platforms and processes either cloud based or on-prem.
- Must be experienced with configurating and deploying solutions in AWS and/or Azure cloud platforms.
- Must have excellent organization skills including planning and coordinating work assignments to meet project milestones or completion dates.
- Should be familiar with ITAR/EAR standards or handing export-controlled technical data.
- Should be familiar with CUI, ITAR, and proprietary data regulations.
- Must be customer focused and possess:
- the ability to identify and analyze issues and develop solutions to complex problems;
- strong analytical, verbal and written communication skills to accurately document, report, and present findings;
- strong interpersonal skill to interface with all levels of employees, management and external contacts; and
- strong computer skills.
- Ability to work independently or in a team environment is essential.
