Senior AI Integration Specialist and Prompt Engineer

SAIC is seeking a Senior AI Integration Specialist and Prompt Engineer to translate subject matter expertise and contract, regulatory, and policy requirements into structured prompts, automation workflows, and validation methods. Working under the Program Quality Manager, you will lead continuous process improvement through development of compliant, auditable AI-enabled tools in support of the VA Medical Disability Exam (MDE) program. This essential program is dedicated to providing Veterans with timely, accurate, and thorough medical examinations, and plays a crucial role in enhancing the quality of life for our Nation's Veterans.

This Position is fully remote and can be performed from anywhere within the United States.

- Key Responsibilities:
- Collaborate with Program Quality Team analysts and other SMEs to capture requirements and evidence criteria to craft, test, refine, and publish structured prompts that translate complex VA regulatory, policy, procedural, and contract requirements into precise, testable instructions for AI-enabled tools.
- Consult with Program Quality Manager, Medical Director, and clinical leadership as needed to confirm that AI-supported workflows preserve examiner clinical judgment and do not generate or alter clinical content or outcomes, in compliance with VA requirements for use of AI in the MDE process.
- Document prompt patterns, maintain a centralized, version-controlled repository of reusable prompts organized by examination type or other program elements, and develop guidelines for when and how to apply specific prompt techniques.
- Develop and maintain validation rubrics, test sets, and acceptance criteria with SMEs and Quality Analysts, and measure accuracy, completeness, consistency, traceability, and repeatability across examination types and program contexts.
- Test AI outputs across approved configuration settings within authorized tools to reduce unsupported or inaccurate outputs and to support reliability, accuracy, and traceability, in support of contract quality and compliance performance standards.
- Conduct current-state analyses, gap analyses, and benchmarking of quality and operational processes to identify high-value opportunities for AI-assisted improvement.
- Define and develop AI-integrated business processes, policies, roles and responsibilities, and performance metrics; design future-state process models; and support transition planning and change management to support adoption across quality, operations, and IT teams.
- Partner with IT to define system requirements for AI tool integration; align changes with IT release schedules, change control, and VA security and authorization review processes; and support User
- Acceptance Testing (UAT) to validate implemented changes prior to production deployment.
- Deliver presentations and training to program staff and leadership on AI integration methods, prompt design practices, appropriate AI uses, and workflow automation.
- Exercise independent judgment in selecting methods, techniques, and evaluation criteria within program, VA contract, security, privacy, and system-authorization requirements.
- Serve as the primary technical contact for program quality AI integration initiatives, coordinating with internal and external stakeholders across IT, training, and other program elements as directed.

Required Qualifications

- Bachelor's degree and 9 years of experience Master's degree and 7 years of related experience; PhD; additional experience may be considered in lieu of degree.
- Demonstrated experience designing, testing, and documenting prompts for AI-enabled tools.
- Experience designing workflow logic, decision rules, or automation requirements and working with IT teams to implement them.
- Experience interpreting complex regulatory, policy, or contract documents and translating them into operational procedures or rules.
- Experience developing quality standards, performance metrics, rubrics, or validation methods.
- Ability to gather and structure subject matter expertise from non-technical SMEs.
- Strong written and verbal communication skills with the ability to convey complex and/or technical concepts to non-technical stakeholders

Preferred Qualifications

- Degree in business, engineering, information systems, health informatics or administration, data science, public administration, or a related field preferred.
- Experience in federal contracting or other regulated environments, preferably VA or DoD healthcare programs.
- Working knowledge of privacy and security principles for sensitive information, such as PII and PHI.
- Experience with medical records, clinical documentation, or healthcare quality assurance.
- Familiarity with VA systems including VBMS, DAS, and related data exchange platforms.
- Knowledge of Disability Benefits Questionnaires (DBQs) and the MDE lifecycle.
- Experience evaluating AI output quality, such as test set design, accuracy benchmarking, or error analysis.
- Experience with AI governance and risk management.
- Experience managing version-controlled documentation, content libraries, or knowledge bases with approval workflows.
- Proficiency in process mapping tools (e.g., Visio), data analysis and reporting tools (e.g., Excel, Power BI), and requirements management tools (e.g., JIRA, Confluence)
- Familiarity with retrieval-based or document-search approaches, and with low-code or workflow automation tools, sufficient to specify requirements and evaluate results.
- Relevant professional certifications, such as Lean Six Sigma (Green or Black Belt), PMP, CBAP, ITIL.