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AI/ML & Intelligent Automation Lead

Leidos

Remote · USJob$108–195K/yrSeen 4 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$108–195K/yr
Location
Remote · US
Work Authorization
US work authorization required

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Security clearanceBachelor's degree

Job overview

The AI/ML Intelligent Automation Lead will lead delivery of AI/ML and automation capabilities for a federal health program, from data preparation through inference, evaluation, and monitoring. The role builds on FHIR and OMOP pipelines and may integrate commercial AI/ML services; original model development is not required. The position is primarily remote within the U.S. for highly qualified candidates, with frequent travel to Reston, where onsite work is preferred.

Skills & qualifications

RequiredNice to have

Skills

AI/ML DeliveryAutomated Data PreparationModel-Serving IntegrationInference API IntegrationEvaluationVersion ControlOperational MonitoringCloud AI/ML ServicesAWS GovCloudCI/CDMLOpsAgile DeliveryAcceptance CriteriaSAFeAzure DevOpsHIPAA ComplianceInformation AssuranceMHS/DHA EnvironmentMHS GENESISJoint Health Information ExchangeDoD-VA Data Exchange

Qualifications

Bachelor's in Related Field8+ Years Relevant Experience8+ Years Software, Data, or Analytics3+ Years AI/ML ImplementationGovernment Work-Role TrainingApplicable Background InvestigationU.S. CitizenshipAbility to Obtain ADP II ClearanceHealth or Regulated Data Experience

Benefits

Medical Insurance
Paid Time Off
401(k) Match

Full job description

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.

Original Posting:

October 28, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

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 .

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected] .

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission (https://reportfraud.ftc.gov/#/) .

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.

#Remote

REQNUMBER: R-00195731-OTHLOC-PL-2D2293

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.

How this job compares

Set against the 6,099 open Machine Learning Engineer jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$108–195K/yr
  • Virginia median$131–210K/yr227 salary ranges
  • US median$148–245K/yr4,859 salary ranges

This range's midpoint, $151K, is 15% below the Virginia median midpoint ($178K) — in the lowest quarter of Machine Learning Engineer salary ranges in Virginia.

Openings
Olive Jobs lists 267 open Machine Learning Engineer jobs in Virginia and 6,099 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Virginia
Experience
This posting asks for at least 8 years of experience — more than three in four Machine Learning Engineer postings that state a minimum ask for (median 5 years, across 4,881 postings).
Education
This posting asks for a bachelor's degree; 2,296 of the 6,099 open Machine Learning Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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