Note: The job is a remote job and is open to candidates in USA. Lockheed Martin is seeking an AI research engineering leader to advance AI-enabled procurement capabilities across the enterprise. The role focuses on designing and deploying autonomous GenAI workflows, fine-tuning and evaluating LLM solutions, engaging procurement stakeholders, and mentoring engineers while ensuring secure, reliable, and compliant implementations.
Responsibilities
- You will lead the end‑to‑end creation of autonomous GenAI workflows, translating high‑level business objectives from procurement leaders into technically sound designs that can be operationalized across the enterprise
- By partnering directly with stakeholders—including category managers, sourcing analysts, and senior business leaders—you will gather requirements, clarify expectations, and articulate realistic delivery timelines
- Leveraging your expertise, you will architect prompt strategies, model selection approaches, and tool integration patterns that enable agents to retrieve data, generate actionable insights, and execute downstream actions with minimal human intervention
- Your role includes overseeing fine‑tuning initiatives, establishing reproducible training pipelines, and setting rigorous evaluation standards that address accuracy, bias, and hallucination risks
- You will champion best practices for performance optimization, cost management, and secure deployment, ensuring that all solutions meet Lockheed Martin’s reliability, latency, and compliance thresholds
- As a technical leader, you will mentor junior developers, conduct code reviews, and facilitate knowledge‑sharing sessions to build a robust, collaborative AI engineering culture
- Documentation of architectures, prompt libraries, configuration settings, and test outcomes will be maintained in the team’s knowledge base, and you will serve as the primary point of contact for audit and governance reviews
Skills
- Bachelor's (or higher) degree in Computer Science, AI, Data Science, Electrical Engineering, or a related field
- Advanced proficiency in Python and experience building production‑grade AI services
- Proven track record designing, fine‑tuning, and deploying LLM solutions at scale
- Experience with RAG and vector store technologies
- Demonstrated ability to architect and implement autonomous agent pipelines that integrate with enterprise data sources and tools
- Experience leading technical discussions with business stakeholders, translating requirements into actionable solution plans
- 5 + years of hands‑on AI/ML engineering experience, with at least 2 years in a senior or lead capacity
- Strategic thinking combined with a hands‑on mindset
- Excellent written and verbal communication for stakeholder engagement
- Ability to prioritize multiple initiatives while maintaining high quality
- Background in building CI/CD pipelines for AI, monitoring model performance, and adhering to security & compliance policies
- Familiarity with AI governance frameworks, model‑monitoring platforms, and enterprise AI ethics guidelines
- Knowledge of procurement domain concepts such as spend analytics, supplier risk scoring, and contract lifecycle management
- History of coaching junior engineers, conducting code reviews, and fostering a collaborative development environment
Benefits
- 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
- 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.
- Continuous exposure to cutting-edge research
- Mentorship from senior technical leaders
- Opportunities to influence corporate AI strategy
- 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.
- For Washington state applicants only: 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.
Company Overview
Company H1B Sponsorship