AI Machine Learning Engineering Sr

Standard Job Description

Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces

Basic Qualifications

• Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related field or equivalent professional experience.

• Experience with Python and AI Frameworks

• Project Management experience with software development

• Excellent written and verbal skills

Desired Skills

Experience designing, developing, testing and deploying agentic automations

RPA Platforms

* Proven experience with Blue Prism or an equivalent RPA tool such as UiPath (designing, debugging, and deploying bots in a production environment).

Python Automation Stack

* Proficiency with agentic frameworks: LangChain, LangGraph, and ability to orchestrate LLM‑driven workflows.

Hands‑on with open‑source RPA libraries

* Playwright (web automation) and pywinauto (desktop UI automation).

* Hands-on experience with graph database libraries: Neo4J, Ontop, OrientDB, or similar.

* OpenCode / Clinerule Automation – Ability to leverage OpenCode (or Clinerule) to rapidly prototype and build agentic automations, including writing custom skills, prompt engineering, and integrating LLM outputs into process flows.

Version Control & CI/CD

* Strong Git workflow experience (branching, pull‑requests, code reviews) and familiarity with CI/CD pipelines for automated testing and deployment of automation assets.

Business Process Expertise

* Skilled at process mapping (e.g., BPMN, flowcharts), analyzing end‑to‑end workflows, and translating business requirements into repeatable, scalable automation solutions.

Communication & Relationship Building

* Excellent written and verbal communication; capable of documenting technical solutions clearly and building rapport with business stakeholders and customers to gather requirements and drive adoption.

Project Management

* Experience managing automation projects end‑to‑end: scoping, estimating effort, tracking milestones, risk mitigation, and delivering on schedule.

Ontology Engineering

* Experience with ontology design, development, and management using tools like Protege for ontology modeling and Ontop for ontology-based data access (OBDA), enabling semantic data integration and reasoning over complex data sources.

Pay Information

Full-Time Salary Range: $98100.00 - $182100.00

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.