AI/ML & Intelligent Automation Lead — Federal Health Remote

Leidos; United States; Híbrido; USD 108 000 - 195 000; Tempo integral

Resumo da oferta

Leidos is seeking an AI/ML Intelligent Automation Lead to drive capabilities from data preparation through inference, evaluation and monitoring on a federal health program, with on-site Reston, VA preference and remote-US options requiring frequent travel to Reston.

Role emphasizes production-ready AI/ML delivery, low-latency clinical inference, PHI handling, and governance in SAFe/ azure DevOps environments, with ADP II clearance considerations.

Qualificações

• Bachelor’s in computer science, data science, mathematics, statistics, engineering, health informatics or a related field with 8-12yrs. of prior relevant experience.
• 8+ years in software engineering, data engineering or applied analytics, including 3 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 with health or other regulated data is preferred.
• 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: iterative backlogs, testable acceptance criteria, results demos, and incorporating user and operational feedback , with working knowledge of SAFe and Azure DevOps (certification not required).
• Ability to meet the applicable Government work-role requirements: Government designated training for HIPAA Compliance, Information Assurance and applicable background investigation.
• Knowledge of MHS/DHA environment , such as MHS GENESIS, the Joint Health Information Exchange, and DoD-VA data exchange.

Responsabilidades

• 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, 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.

Conhecimentos

AI/ML delivery

Agile delivery

MLOps

SAFe knowledge

Cloud experience

Formação académica

Bachelor's degree in CS/Data Science/Math

Ferramentas

Azure DevOps

CI/CD

Model versioning

Descrição da oferta de emprego

Leidos is seeking an AI/ML Intelligent Automation Lead to drive capabilities from data preparation through inference, evaluation and monitoring on a federal health program, with on-site Reston, VA preference and remote-US options requiring frequent travel to Reston.

Role emphasizes production-ready AI/ML delivery, low-latency clinical inference, PHI handling, and governance in SAFe/ azure DevOps environments, with ADP II clearance considerations.