AI/ML & Intelligent Automation Lead

Leidos; Reston (VA); Hybride; USD 108 000 - 195 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Software engineering

Data engineering

Applied analytics

AI/ML integration

Agile delivery

SAFe knowledge

Azure DevOps

Formation

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

Outils

AWS GovCloud

CI/CD

Azure DevOps

Description du poste

Description

Take AI/ML from demo to daily use on a federal health program. As the AI/ML Intelligent Automation Lead you will lead capabilities from data preparation through inference, evaluation and monitoring, building on the program’s FHIR and OMOP data pipelines. Integrating commercial AI/ML services counts, original model development is not required, and no generative-AI or AI-Native certification is needed. Working knowledge of SAFe is expected, but SAFe certification is not required.

Location: Reston, VA (onsite preferred). Primarily remote within the US, considered for highly qualified candidates, with frequent travel to Reston.

Clearance: US citizen able to obtain and maintain an ADP II clearance.

Remote candidates: you will be required to keep your camera on during the interview, and your interviewer will take your picture for identification purposes if an offer letter is extended to you.

This is in anticipation of future work!

What you'll do

• 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.

What you bring

• 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: 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.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Pay Range:

Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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