1 day ago
Base Salary
$108k - $195k/yr
Responsibilities
- Lead delivery of AI/ML and intelligent automation capabilities into production and operational pilots.
- Build automated data preparation and integrate model-serving or inference APIs, including commercial AI/ML services.
- Support low-latency clinical inference and natural language processing use cases and use feature stores where appropriate.
- Define evaluations and testable acceptance criteria and maintain version control and operational monitoring.
- Follow Government AI governance and PHI-handling requirements.
- Collaborate with architects on data contracts and with cybersecurity teams on AI-service hosting, monitoring, and security.
- Document models, data pipelines, and evaluation results for Government sustainment.
- Deliver through iterative backlogs, demonstrations, user feedback, operational feedback, and the SAFe delivery framework using Azure DevOps.
Requirements
- Bachelor’s degree in computer science, data science, mathematics, statistics, engineering, health informatics, or a related field.
- 8–12 years of prior relevant experience, including at least 8 years in software engineering, data engineering, or applied analytics.
- At least 3 years implementing or integrating AI/ML.
- At least one AI/ML capability delivered to production or an operational pilot used by end users, including automated data preparation, model-serving or inference-API integration, evaluation, version control, and operational monitoring.
- Experience building on cloud AI/ML services in AWS GovCloud or an equivalent government cloud environment.
- Experience with MLOps practices, model versioning, and CI/CD.
- Agile delivery experience involving iterative backlogs, testable acceptance criteria, results demonstrations, and user and operational feedback.
- Working knowledge of SAFe and Azure DevOps; certification is not required.
- Ability to meet Government work-role requirements, including designated training for HIPAA Compliance, Information Assurance, and applicable background investigation.
- U.S. citizenship and ability to obtain and maintain an ADP II clearance.
- Preferred experience with health or other regulated data and knowledge of the MHS/DHA environment, including MHS GENESIS, the Joint Health Information Exchange, and DoD-VA data exchange.
Benefits
- Reston, Virginia location with onsite work preferred; primarily remote work within the U.S. may be considered for highly qualified candidates.
- Remote candidates must travel frequently to Reston.
- This requisition anticipates future work.
- Remote interview candidates must keep their camera on, and an identification photo may be taken if an offer is extended.
Categories
Data EngineeringML Engineering
About Leidos
Leidos builds and operates technology and engineering solutions for defense, intelligence, civil, and health agencies, including systems integration, cyber, enterprise IT, sensors, and healthcare IT. It primarily sells through government contracts and long-term programs, plus managed services and mission software. Founded in 1969 and headquartered in Reston, Virginia, Leidos is a Fortune 500 public company on the NYSE; customers include U.S. defense and intelligence agencies and civil bodies such as the FAA.