Remote AI/ML & Intelligent Automation Lead – Health Gov

Leidos; Virginia; Hybrid; USD 108,000 - 195,000; Full time

Job summary

Leidos in Reston, Virginia is seeking an AI/ML Intelligent Automation Lead to move capabilities from data preparation to inference and monitoring within a federal health program. You will drive production deployments, evaluations, and governance in a SAFe framework, using Azure DevOps and cloud services.

The role requires a BS in a related field with 8+ years of relevant experience, expertise in AI/ML delivery, and experience with health data environments.

Qualifications

• Bachelor's in CS, data science, mathematics, statistics, engineering, health informatics or related field with 8–12 yrs of experience.
• 8+ years in software/data engineering or applied analytics, incl. 3 AI/ML implementations.
• AI/ML capability delivered into production or an operational pilot, with data prep, model-serving or inference integration.
• Experience with cloud AI/ML services in AWS GovCloud or equivalent, and with CI/CD and MLOps.
• Agile delivery, SAFe, Azure DevOps knowledge; government HIPAA training/background check as required.
• Knowledge of MHS/DHA environment (MHS GENESIS, JHEX, DoD-VA data exchange).

Responsibilities

• Lead delivery of AI/ML and automation capabilities into production pilots.
• Build automated data preparation and integrate model-serving or inference APIs, including commercial services.
• Define evaluations and testable acceptance criteria; keep capabilities version-controlled and monitored.
• Work with architects on data contracts and with cyber security on hosting and security of AI services.
• Document models, data pipelines and evaluation results for government sustainment; operate in SAFe with Azure DevOps.

Skills

AI/ML delivery

Data engineering

CI/CD

SAFe

Azure DevOps

Cloud services

Education

Bachelor's degree in CS/data science/math/stats/engineering/health informatics

Tools

Azure DevOps

MLOps

FHIR/OMOP

Job description

Leidos in Reston, Virginia is seeking an AI/ML Intelligent Automation Lead to move capabilities from data preparation to inference and monitoring within a federal health program. You will drive production deployments, evaluations, and governance in a SAFe framework, using Azure DevOps and cloud services.

The role requires a BS in a related field with 8+ years of relevant experience, expertise in AI/ML delivery, and experience with health data environments.