Standard Job Description

Position Overview

This individual blends deep technical expertise with strategic leadership to shape the vision for GenAI and autonomous‑agent solutions that optimize Corporate Procurement Operations.  In addition to hands‑on development, you will drive stakeholder conversations, define solution roadmaps, and mentor junior engineers to elevate the overall capability of the SCI-Helix team.

Key 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. 

Why Join Us?

1. Strategic Influence: Shape the future of AI‑enabled procurement across a global aerospace leader.
2. Technical Excellence: Work with SOTA generative models and autonomous‑agent frameworks in a high‑security environment.
3. Leadership Impact: Lead cross‑functional teams, mentor the next generation of AI engineers, and drive enterprise‑wide AI adoption.
4. Career Growth: Continuous exposure to cutting‑edge research, mentorship from senior technical leaders, and opportunities to influence corporate AI strategy.

Basic Qualifications

• 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

Desired Skills

• 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