A/AI Systems Engineer Sr - E3

Standard Job Description

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.

Basic Qualifications

• 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

Desired Skills

• 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 …