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A/AI Machine Learning Engineering Sr Mgr

Lockheed Martin

Virtual Three, TXFull-time$183–339K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$183–339K/yr
Location
Virtual Three, TX
Schedule
Full-time
Work Authorization
Not specified

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

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

The Advanced Solutions AI/ML Engineering Senior Manager will lead the definition and build-out of an AI-driven software development lifecycle capability. The role manages teams of ML, software, and MLOps/platform engineers, sets technology direction, and ensures AI-generated software meets security, safety, and certification requirements. It also owns the multi-year vision, budgets, and KPIs, and partners across the organization on technology investment and delivery.

Skills & qualifications

RequiredNice to have

Skills

LLMs, nice to haveAgentic AI Frameworks, nice to haveFine-Tuning, nice to haveModel Evaluation, nice to haveAI Coding Assistants, nice to haveAgentic Development Tools, nice to haveLAIC/Genesis, nice to haveAWS Bedrock, nice to haveContainers, nice to haveKubernetes, nice to haveCloud Deployments, nice to haveOn-Premises Deployments, nice to haveAir-Gapped Deployments, nice to haveInternal Developer Platforms, nice to haveCI/CD, nice to haveTest Automation, nice to haveSecure Software Supply Chain, nice to haveSBOMs, nice to haveVulnerability Triage, nice to haveSafety-Critical Software Standards, nice to haveInnovation, nice to haveTechnology Adoption, nice to haveChange Management, nice to haveExecutive Communication, nice to haveStrategy Presentation, nice to haveInvestment Recommendations, nice to haveCenter of Excellence Building, nice to haveCommunity of Practice Building, nice to haveAccountability, nice to havePeople Leadership, requiredProduction AI/ML Delivery, requiredGenerative AI Applications, requiredSoftware Engineering Leadership, requiredSoftware Development Lifecycle, requiredDev/Sec/Ops, requiredBusiness Case Development, requiredBudget Management, requiredBuild-vs-Buy Analysis, requiredCost Reduction, required

Qualifications

Bachelor's in Computer Science or Related STEM, requiredManaging Managers or Technical Leads, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave
Tuition Assistance

Full job description

Standard Job Description

This Advanced Solutions AI/ML Engineering Sr Manager will lead the definition and build-out of the organization's AI-Driven Software Development Lifecycle (AI-SDLC) capability. This is an AI-accelerated software engineering and development stack will cover the full lifecycle from requirements, design, code generation, testing, security, deployment, and sustainment. The role has two goals: make software delivery much faster and more automated to lower software total cost of ownership, and accelerate a strategy to move the organization from buying commercial software (COTS) and SaaS tools to building its own, retiring recurring license and subscription costs. The leader will manage a multi-team organization of ML, software, and MLOps/platform engineers, including subordinate managers. They will set the direction for technology selection, and make sure AI-generated software meets the LM security, safety, and certification requirements. They will also own the multi-year vision, budgets, and KPIs, working in partnership with Finance, Procurement, Legal, Applications, Cybersecurity, and Program leadership and advising senior leadership on long-range technology investment.

Leads those who serve as the experts for AI and autonomous systems and works with the Systems Engineering to provide the next generation of AI/ML solutions, including and not limited to inferencing, compute, storage as well as controls and systems safety. They support the team with integrating AI/ML with software and infrastructure systems, human-in-the-loop interfaces, and preparations for autonomous systems for certification and deployment. Leads those who research, identify and recommend appropriate software and infrastructure components for autonomous software systems to enable controls, observability, and compliance; Applies appropriate standards, processes, procedures and tools throughout the system development life cycle to support software systems; Qualifies and tests developed software and test plans, procedures, systems.

Desired Skills

Technical leader skills

Hands-on work with LLMs, agentic AI frameworks, skills, harnesses, fine-tuning, and model evaluation.

Familiarity with AI coding assistants and agentic development tools.

Experience with Lockheed Martin's LLM provider platforms, including the LAIC/Genesis and AWS Bedrock

Experience with containers and orchestration (e.g., Kubernetes), and with cloud, on-premises, and air-gapped deployments.

Experience building internal developer platforms and integrated CI/CD, test automation, and secure software supply chain tooling (e.g., SBOMs, vulnerability triage).

Knowledge of regulated or safety-critical software standards including Lockheed Martin's internal software development standards and guidelines

Leadership skills

A record of driving innovation, technology adoption and change management across the enterprise.

Strong communication with executives, including presenting strategy and investment recommendations to senior leadership and customers.

Building centers of excellence, communities of practice, and a culture of innovation and accountability.

Basic Qualifications

A bachelor’s degree in computer science, Computer/Electrical Engineering, Data Science, Mathematics, or a related STEM field with relevant professional experience.

People leadership experience, including managing managers or technical leads.

Experience leading the delivery of production AI/ML systems and solutions, including LLM-based or generative AI applications.

Experience leading software engineering and development organizations across the full software development lifecycle, including CI/CD and Dev/Sec/Ops practices.

Experience building business cases and managing budgets, including alternatives analysis such as build-vs-buy or cost-reduction work.

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.

  • Full-time salary range (GEOZONE 1): $228100.00 - $423700.00

  • Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.

  • Full-time salary range (GEOZONE 2): $205300.00 - $381300.00

  • Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.

  • Full-time salary range (GEOZONE 3): $182500.00 - $338900.00

  • Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.

  • Full-time salary range (GEOZONE 4): $164200.00 - $305000.00

  • Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.

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.

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.

  • 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.

  • 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.

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

How this job compares

Set against the 8,920 open Software Engineering jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This posting$183–339K/yr
  • Texas median$137–235K/yr318 salary ranges
  • US median$146–253K/yr6,825 salary ranges

This range's midpoint, $261K, is 40% above the Texas median midpoint ($186K) — in the top quarter of Software Engineering salary ranges in Texas.

Openings
Olive Jobs lists 532 open Software Engineering jobs in Texas and 8,920 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
Software Engineering postings that state a minimum ask for 7 years of experience at the median; the middle half ask for 5 to 10 years (6,725 postings).
Education
This posting asks for a bachelor's degree; 2,159 of the 8,920 open Software Engineering jobs (24%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 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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