AI Machine Learning Engineering Staff
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Before you apply
Salary$109k – $280k
LocationFort Worth, TX; Littleton, CO; King of Prussia, PA; Palmdale, CA; Washington, DC
Work moderemote · United States
Typefull-time
SeniorityLead
Experience5+ yrs
DepartmentEnterprise Business Services
Company size10,000+ people
First seenNov 3, 2026 · 22h ago
Verified live22h ago
At a glanceSummarised by Seekless from the posting.
5+ years of related experience in software engineering, platform engineering, MLOps, ML infrastructure, and/or GenAI systems
Experience designing, deploying, or operating MLOps pipelines, model deployment workflows, data and artifact lineage, or GenAI application backends
Strong communication skills and the ability to work directly with customers, platform teams, and program stakeholders
Experience with LLM and GenAI systems, evaluation workflows, prompt or context engineering, or agentic application patterns
Demonstrated ability to lead technical direction for other engineers through architecture, decomposition, code review, or deployment standards
Hands-on familiarity with Kubernetes-based deployment patterns, GPU-backed environments, and secure software delivery practices
B.S. (or higher) in Computer Science, Electrical / Aerospace Engineering, Applied Mathematics, or related field
Experience with enterprise AI/ML platforms such as Amazon SageMaker, Databricks Mosaic AI, Google Cloud Vertex AI / Gemini Enterprise Agent Platform, Microsoft Foundry, Domino Data Lab, Dataiku, IBM watsonx, or DataRobot
Familiarity with Python and at least one backend or systems language
Demonstrated experience delivering production AI/ML systems or platform capabilities with ambiguous requirements and multiple stakeholders
Experience working across cloud and on-prem GPU environments
Ability to communicate technical tradeoffs clearly to senior stakeholders while maintaining delivery momentum across customer and internal teams
U.S. citizenship and ability to obtain and maintain a Secret or Top Secret clearance
Skills
Python
Kubernetes
Amazon SageMaker
Databricks Mosaic AI
Google Cloud Vertex AI
Microsoft Foundry
Domino Data Lab
Dataiku
IBM watsonx
DataRobot
Benefits
Medical insurance
Dental insurance
Vision insurance
Flexible work arrangements
401(k)
Paid time off
Holidays
Parental leave
Employee assistance program
Flexible spending accounts
Education assistance
Life insurance
Short term disability
Long term disability
Standard Job Description
Serves as a Staff-level Forward Deployed Engineer for AI Factory (an internal AI/ML Ops Platform), leading the use of Lockheed Martin’s AI Factory platform to solve customer MLOps and GenAI problems. Owns customer solution discovery, architecture, implementation strategy, deployment, and adoption for high-value AI/ML workflows while ensuring the platform is used effectively, consistently, and with maximum reuse. Uses this deployment work to identify weaknesses in AI Factory’s foundational products and platform, such as design flaws, performance gaps, reliability risks, and integration friction, and drives actionable remediation suggestions back to core platform engineering team.
Basic Qualifications
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5+ years of related experience in software engineering, platform engineering, MLOps, ML infrastructure, and/or GenAI systems.
•
Experience designing, deploying, or operating MLOps pipelines, model deployment workflows, data and artifact lineage, or GenAI application backends.
•
Strong communication skills and the ability to work directly with customers, platform teams, and program stakeholders.
•
Experience with LLM and GenAI systems, evaluation workflows, prompt or context engineering, or agentic application patterns.
•
Demonstrated ability to lead technical direction for other engineers through architecture, decomposition, code review, or deployment standards.
•
Hands-on familiarity with Kubernetes-based deployment patterns, GPU-backed environments, and secure software delivery practices.
•
U.S. citizenship and ability to obtain and maintain a Secret or Top Secret clearance.
Desired Skills
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B.S. (or higher) in Computer Science, Electrical / Aerospace Engineering, Applied Mathematics, or related field.
•
Experience with enterprise AI/ML platforms such as Amazon SageMaker, Databricks Mosaic AI, Google Cloud Vertex AI / Gemini Enterprise Agent Platform, Microsoft Foundry, Domino Data Lab, Dataiku, IBM watsonx, or DataRobot.
•
Familiarity with Python and at least one backend or systems language
•
Demonstrated experience delivering production AI/ML systems or platform capabilities with ambiguous requirements and multiple stakeholders.
•
Experience working across cloud and on-prem GPU environments.
•
Ability to communicate technical tradeoffs clearly to senior stakeholders while maintaining delivery momentum across customer and internal teams.
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
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Full-time salary range (GEOZONE 1): $150800.00 - $280000.00
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Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
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Full-time salary range (GEOZONE 2): $135700.00 - $251900.00
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Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
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Full-time salary range (GEOZONE 3): $120600.00 - $224000.00
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Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
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Full-time salary range (GEOZONE 4): $108600.00 - $201600.00
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Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
Benefits
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
Legal
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
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Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
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For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.