AI/ML & Intelligent Automation Lead

Leidos • Reston, VA

12h • Remote

About The Position

The AI/ML & Intelligent Automation Lead will take AI/ML capabilities from demonstration to everyday use on a federal health program. The role leads capabilities from data preparation through inference, evaluation, and monitoring, building on the program’s FHIR and OMOP data pipelines. It may integrate commercial AI/ML services; original model development is not required. Generative-AI or AI-Native certification and SAFe certification are not required, though working knowledge of SAFe is expected.

The position is based in Reston, Virginia, with onsite work preferred. It is primarily remote within the United States for highly qualified candidates, who should expect frequent travel to Reston. Candidates must be U.S. citizens able to obtain and maintain an ADP II clearance. Remote candidates must keep their camera on during the interview; if an offer is extended, the interviewer will take a picture for identification purposes. The posting describes this as anticipation of future work.

The role delivers through iterative backlogs, demonstrations, and feedback in a SAFe delivery framework using the Government’s Azure DevOps. The successful candidate will document models, data pipelines, and evaluation results so the Government can sustain them, while following Government AI governance and PHI-handling requirements. Applicable Government work-role requirements include designated training for HIPAA compliance and Information Assurance, as well as an applicable background investigation.

Requirements

• Bachelor’s degree in computer science, data science, mathematics, statistics, engineering, health informatics, or a related field, with 8–12 years of prior relevant experience.
• At least 8 years in software engineering, data engineering, or applied analytics, including at least 3 years implementing or integrating AI/ML; the 8 years need not all be in AI/ML.
• At least one AI/ML capability delivered into production or an operational pilot used by end users, covering automated data preparation, model-serving or inference-API integration, evaluation, version control, and operational monitoring; research-only or demo-only experience does not qualify.
• Experience building on cloud AI/ML services in AWS GovCloud or an equivalent government cloud environment.
• Experience with CI/CD and model-versioning (MLOps) practices.
• Agile delivery experience with iterative backlogs, testable acceptance criteria, results demonstrations, and incorporating user and operational feedback.
• Working knowledge of SAFe and Azure DevOps; certification is not required.
• Ability to meet applicable Government work-role requirements, including Government-designated HIPAA Compliance and Information Assurance training and an applicable background investigation.
• U.S. citizenship and ability to obtain and maintain an ADP II clearance.
• Ability to travel frequently to Reston, Virginia if working remotely.

Nice To Haves

• Experience with health or other regulated data.
• Knowledge of the MHS/DHA environment, such as MHS GENESIS, the Joint Health Information Exchange, and DoD-VA data exchange.
• Onsite work in Reston, Virginia is preferred.

Responsibilities

• Lead delivery of AI/ML and automation capabilities into production and operational pilots.
• Build automated data preparation and integrate model-serving or inference APIs, including commercial services.
• Support low-latency clinical inference and natural language processing use cases, and use feature stores where appropriate.
• Define evaluations and testable acceptance criteria; keep capabilities version-controlled and monitored in operation.
• Follow Government AI governance and PHI-handling requirements.
• Work with architects on data contracts and with cybersecurity teams on hosting, monitoring, and security of AI services.
• Document models, data pipelines, and evaluation results so the Government can sustain them.
• Deliver through iterative backlogs, demonstrate results, and act on user and operational feedback in a SAFe delivery framework using the Government’s Azure DevOps.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior