The Lockheed Martin Artificial Intelligence Center (LAIC) team seeks a motivated and detail-oriented AI professional with a strong background in AI/ML concepts and technologies. You will be part of a team developing Lockheed Martin AI talent and building an AI community. Within the LAIC, the AI Factory Growth team focuses on building a strong and vibrant AI/ML community including tools, knowledge sharing, events, and training. The selected candidate will be responsible for delivering and continuously improving training that promotes the adoption of GenAI and AI talent growth across the enterprise. This includes teaching live instructor-led courses for technical and non-technical audiences, developing course content and supporting materials, and partnering with the AI Community team to extend learning beyond the classroom through events and knowledge sharing.
Responsibilities
• Deliver live, instructor-led GenAI training courses to employees across the enterprise, in both virtual and in-person formats, for technical and non-technical audiences
• Teach AI-assisted development concepts and workflows, including the effective and responsible use of AI coding assistants and agentic development tools
• Develop and maintain course content, including slides, labs, demonstrations, exercises, and facilitator guides, ensuring material stays current with the rapidly evolving GenAI landscape
• Partner with the AI Community team to support events, knowledge sharing, and engagement activities that reinforce and extend classroom learning
• Create knowledge sharing materials, such as blogs, tutorials, and how-to videos, to support self-paced learning across the AI/ML community
• Gather learner feedback and course metrics to evaluate training effectiveness and continuously improve course design and delivery
• Engage with the Lockheed Martin community on multiple communications platforms to encourage GenAI adoption and provide guidance on enterprise policies and best practices
• Collaborate with GenAI stakeholders to align training content with enterprise strategic objectives and identify gaps in the learning portfolio
Responsible for autonomy hardware and software system integration and testing including verification and validation.Translates customer requirements into product and systems specifications while addressing technical, schedule, and cost considerations; Establishes functional and technical specifications and standards for autonomous systems; Determines sensing hardware components; Recommends and selects appropriate control systems; Integrates and optimizes the autonomous compute and sensing hardware and software; Solves hardware/software interface problems; Develops plan(s) to integrate autonomous functionality into product(s) and platform(s) and other system(s); Develops test plans for validation and verification and procedures for test and evaluation requirements in collaboration with designers and developers; Performs integration testing and coordinates subsystem and/or system testing activities for autonomous programs; Documents and conducts analysis of test results and recommends fixes to software, hardware components, subsystems and systems; Interfaces with other teams involved the development lifecycle for perception.
Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 5 years of professional experience; or 3 years of professional experience with a related Masters degree; or no experience required with a related PhD or JD. Considered career, or journey, level.
Experience teaching, instructing, or facilitating training for adult learners in classroom, virtual, or workshop settings
Strong working knowledge of how large language models and generative AI systems function, not just how to use them. Candidates should be able to explain these underlying concepts and mechanics accurately to both technical and non-technical audiences.
Experience developing training materials or curriculum
Strong presentation and communication skills, with the ability to explain technical concepts to both technical and non-technical audiences
Experience teaching or training others in AI-assisted development, or hands-on experience using AI-assisted development tools (e.g., AI coding assistants, agentic coding tools) in a software development workflow
Experience supporting communities of practice, user groups, or large-scale technology adoption efforts
Familiarity with retrieval-augmented generation (RAG), AI agents, and enterprise GenAI platforms
Experience creating multimedia learning content such as video tutorials or interactive labs
Demonstrated expertise in planning, organizing, and executing projects—defining scope, creating realistic schedules, managing resources, and communicating progress to stakeholders to deliver results on time and within budget
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): $122600.00 - $227600.00
- 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): $110300.00 - $204900.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
- Full-time salary range (GEOZONE 3): $98100.00 - $182100.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $88300.00 - $163900.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; Ocala, FL; 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.
Skills Required
- Bachelor’s degree in a related discipline with 5 years of professional experience, or a related master’s degree with 3 years of professional experience, or a related PhD or JD with no experience required
- Experience teaching, instructing, or facilitating training for adult learners in classroom, virtual, or workshop settings
- Strong working knowledge of large language models and generative AI systems, including their underlying concepts and mechanics
- Experience developing training materials or curriculum
- Strong presentation and communication skills for explaining technical concepts to technical and non-technical audiences
- Experience teaching or training others in AI-assisted development, or hands-on experience using AI-assisted development tools in a software development workflow
- Experience supporting communities of practice, user groups, or large-scale technology adoption efforts
- Familiarity with retrieval-augmented generation, AI agents, and enterprise generative AI platforms
- Experience creating multimedia learning content such as video tutorials or interactive labs
- Expertise planning, organizing, and executing projects, including scope, scheduling, resource management, stakeholder communication, and budget delivery
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
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Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
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Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
Lockheed Martin Insights
What We Do
Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
