Remote-Eligible AI/ML & Intelligent Automation Lead

Leidos; Reston (VA); Hybrid; USD 108,000 - 195,000; Full time

Job summary

Leidos in Reston, VA, is seeking an AI/ML Intelligent Automation Lead to drive capabilities from data prep to inference within a federal health program. This onsite-leaning role supports remote US work with frequent travel to Reston and requires ADP II clearance.

You will deliver AI/ML and automation into production, integrate model-serving APIs, ensure governed PHI handling, and collaborate across data contracts, security, and Azure DevOps governance in a SAFe setting.

Qualifications

• Bachelor’s in computer science, data science, mathematics, statistics, engineering, health informatics or a related field with 8–12 yrs of prior relevant experience.
• 8+ years in software engineering, data engineering or applied analytics, including 3 implementing or integrating AI/ML.
• Production delivery of at least one AI/ML capability into production or an operational pilot used by end users; health data experience 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 NLP use cases, and use feature stores where appropriate.
• Define evaluations and testable acceptance criteria, and keep capabilities version-controlled and monitored in operation, and follow Government AI governance and PHI-handling requirements.
• Work with the architects on data contracts, and with cyber security 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, demo results, and act on user and operational feedback in a SAFe delivery framework using the Government’s Azure DevOps.

Skills

Software engineering

Data engineering

Applied analytics

AI/ML integration

Agile delivery

SAFe knowledge

Azure DevOps

Education

Bachelor’s in computer science, data science, mathematics, statistics, engineering, health informatics or related field

Tools

AWS GovCloud

CI/CD

Azure DevOps

Job description

Leidos in Reston, VA, is seeking an AI/ML Intelligent Automation Lead to drive capabilities from data prep to inference within a federal health program. This onsite-leaning role supports remote US work with frequent travel to Reston and requires ADP II clearance.

You will deliver AI/ML and automation into production, integrate model-serving APIs, ensure governed PHI handling, and collaborate across data contracts, security, and Azure DevOps governance in a SAFe setting.