Engineer GenAI

Company Background:

Genuine Parts Company founded in 1928 and based in Atlanta, Georgia, is a leading specialty distributor engaged in the distribution of automotive and industrial replacement parts and value-added services. The Company operates a global portfolio of businesses with more than 10,000 locations across the world, employing 60,000 people.

The GPC Global Technology Center in Krakow, established in 2022 by Genuine Parts Company is an innovative research and development facility supporting GPC’s digital transformation efforts.

The hub is focused on the development of advanced technologies and solutions that support GPC's operations and growth.

The GPC Global Technology Center team works on a wide range of projects assisting in areas such as e-commerce and data platforms, supply chain solutions, selling systems, and cyber security. This is home to a team of highly skilled IT engineers who are dedicated to driving innovation and delivering cutting-edge solutions for GPC.

Role purpose

As a Principal Engineer in the Generative AI Innovation Hub, you will set technical direction for enterprise generative AI capabilities while remaining hands-on in architecture and development. You will lead rapid experimentation, establish reusable engineering standards and reference architectures, and partner with product, data, platform, and security teams to move high-value use cases from prototype to secure, reliable production.

This senior individual-contributor role has broad influence across product and engineering teams. You will guide design decisions, mentor engineers, and communicate tradeoffs to technical and business leaders.

• Teams adopt reusable GenAI architectures, guardrails, and engineering standards.
• Experiments use clear business and technical criteria, leading to production or a timely stop decision.
• Production solutions meet agreed quality, security, privacy, reliability, latency, and cost targets.
• Mentoring and design reviews strengthen GenAI practices across engineering teams.
• Set and evolve the technical strategy, reference architectures, and engineering standards for enterprise generative AI solutions.
• Architect and build prototypes and production services using Python, APIs, cloud platforms, and modern software engineering practices.
• Lead the evaluation of foundation models, retrieval-augmented generation, agentic workflows, and model or vendor options, including build-versus-buy decisions.
• Establish LLMOps and MLOps practices for evaluation, testing, versioning, deployment, observability, incident response, and continuous improvement.
• Embed responsible AI, data protection, security, and human-oversight requirements throughout solution design and delivery.
• Partner with business and product leaders to frame use cases, define measurable outcomes, and prioritize experiments based on value, feasibility, and risk.
• Integrate generative AI capabilities with existing applications, enterprise data, and business processes.
• Lead architecture and design reviews, mentor engineers across teams, and raise the bar for engineering quality.
• Monitor relevant advances in AI and machine learning and recommend adoption when evidence supports meaningful business value.
• Promote disciplined experimentation with explicit learning goals, evaluation criteria, and decision gates.

Leadership characteristics

Location:

Krakow/Hybrid

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GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.