AI Machine Learning Engineering Sr

Position: AI Machine Learning Engineering Sr -
Requisition  Eligible?:
Yes

ERP amount: $5,000

Relocation:
No

Type:
Exempt

Shift: 1

Clearance Prior to Start:
None Final Clearance:
None Pay Transparency: $98,100.00 - $Experience Level: Experienced Professional FT/PT/Casual:
Full Time Department :
Enterprise Business Services Business Unit:
Enterprise Business Services 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.

The Lockheed Martin Artificial Intelligence Center (LAIC) seeks a curious and action-biased AI Adoption Analytics & Data Specialist with a strong background in data engineering, generative AI, and developer enablement. This role blends data pipeline engineering with user and executive storytelling to support enterprise-wide AI transformation. You’ll design and maintain the data infrastructure that powers AI adoption & tokenomics measurement to ensure these solutions deliver measurable impact for Lockheed Martin teams.

Data Pipeline Design & Development Architect and implement end-to-end data pipelines that ingest, transform, and deliver data from diverse enterprise sources to support AI adoption programs and analytics.

Design ETL/ELT workflows using Python, SQL, Flyte, and/or similar orchestration tools to process structured and unstructured data ld and maintain data models optimized for AI/ML datasets, adoption metrics, and executive visualizations.

Develop automated data quality checks, validation rules, and monitoring to ensure pipeline reliability and data integrity.

AI Adoption Analytics & Measurement Create data infrastructure supporting AI adoption KPIs.Build pipelines that aggregate and normalize data from Generative AI and other internal AI platforms to provide unified adoption reporting.

Synthesize adoption metrics, developer feedback, and market trends into executive-ready reports and decision packages.

Develop real-time and batch data feeds for leadership dashboards that track AI maturity across business areas and programs.

Data Integration, Governance & Security Integrate data from multiple internal platforms, HR systems, learning management systems, and AI tools into cohesive, AI-ready datasets.

Document data lineage, maintain data dictionaries, and enforce governance standards across all pipeline outputs.

Collaborate with cybersecurity and IT teams to ensure secure data transfer and storage within on-premises and classified environments.

Community & Ecosystem Development Serve as a bridge between developers, data teams, product teams, and leadership to ensure alignment on priorities and roadmap.

Contribute to the AI Factory ecosystem by developing…