AI/ML & Intelligent Automation Lead
About The Position
The AI/ML & Intelligent Automation Lead will lead AI/ML and intelligent automation capabilities from data preparation through inference, evaluation, and monitoring for a federal health program, building on its FHIR and OMOP data pipelines. The role focuses on taking capabilities from demonstrations into production and operational pilots. Integrating commercial AI/ML services is within scope; original model development is not required. The position is based in Reston, Virginia, with onsite work preferred. Candidates primarily working remotely within the United States may be considered if highly qualified and must travel frequently to Reston. Candidates must be U.S. citizens able to obtain and maintain an ADP II clearance. This opportunity is in anticipation of future work. Remote candidates must keep their camera on during the interview; if an offer is extended, the interviewer will take a picture for identification purposes.
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, and with CI/CD and model-versioning (MLOps) practices.
- Agile delivery experience with iterative backlogs, testable acceptance criteria, results demonstrations, and incorporation of user and operational feedback; working knowledge of SAFe and Azure DevOps.
- Ability to meet applicable Government work-role requirements, including Government-designated training for HIPAA compliance and Information Assurance, and an applicable background investigation.
- U.S. citizenship and ability to obtain and maintain an ADP II clearance.
- Ability to travel frequently to Reston for candidates considered for primarily remote work.
Nice To Haves
- Experience with health or other regulated data is preferred.
- Knowledge of the MHS/DHA environment, such as MHS GENESIS, the Joint Health Information Exchange, and DoD-VA data exchange.
- Highly qualified candidates may be considered for primarily remote work within the United States.
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; and follow Government AI governance and PHI-handling requirements.
- Work with architects on data contracts and with cybersecurity 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
