Lead / Staff Full Stack Engineer

About GF

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power efficient and high-performance solutions for high growth markets. With global manufacturing operations across the U.S., Europe and Asia, GF is a trusted and holistic technology partner for customers around the world. GF's talented, global team remains focused every day on security, longevity, and sustainability. For more information, visit .

Introduction:

GlobalFoundries is scaling enterprise AI and agentic workflows through the CIO FDE Office. The Lead Engineer will drive the technical strategy and architecture for AI-powered business solutions in partnership with enterprise architects and Redpanda FDE engineers. This role requires deep expertise in distributed systems, cloud platforms, enterprise integration, AI architecture, and governance frameworks. The successful candidate will lead the design and deployment of scalable, secure, and production-ready solutions that accelerate business transformation across GlobalFoundries.

Your Job:

• Architect enterprise-grade AI agents and multi-agent workflows across business domains including Supply Chain, IT Operations, and Human Resources.

• Define organizational standards and best practices for prompts, tools, telemetry, and AI solution architecture.

• Lead the development of modern full stack web applications and foundational backend middleware platforms.

• Establish and enforce reusable component architectures to accelerate enterprise-wide deployment of AI solutions.

• Architect secure, scalable, and high-throughput integrations with enterprise systems and applications.

• Oversee the design and implementation of MCPs and enterprise integration frameworks.

• Define and govern enterprise authentication, authorization, and security patterns for AI-enabled applications.

• Design reference deployment architectures for ADP BYOC environments on AWS.

• Drive standards for scalability, observability, reliability, and cost optimization in partnership with cloud, infrastructure, and network teams.

• Lead business workshops to identify, evaluate, and structure high-value automation and AI opportunities.

• Establish development methodologies, engineering standards, and industrialization frameworks for AI solution deployment across GlobalFoundries.

• Act as the technical lead and subject matter expert for the FDE pod.

• Mentor junior engineersto build technical capability and engineering excellence.

• Partner with cross-functional stakeholders to scale the CIO FDE Office operating model across multiple global business domains.

Required Qualifications:

• Bachelor's or Master's Degree in Computer Science, Engineering, or a related field.

• Minimum 9 years of software engineering and solution architecture experience.

• Expert-level experience with cloud platforms and cloud-native application architectures.

• Strong expertise in enterprise security architecture, authentication, authorization, and secure integration patterns.

• Extensive experience designing and implementing enterprise APIs and integration solutions.

• Strong knowledge of distributed systems and event-driven architectures.

• Proven experience leading complex technical initiatives and influencing architecture decisions across multiple teams.

• Excellent communication and stakeholder management skills with the ability to engage technical and business audiences.

Preferred Qualifications:

• Advanced experience with event-driven architectures and messaging platforms such as Kafka or Redpanda.

• Experience with large language model (LLM) platforms, generative AI technologies, and agentic workflow frameworks.

• Experience with Azure AI Foundry, Microsoft Copilot Studio, or similar AI development platforms.

• Experience designing, deploying, and operating enterprise-scale AI applications or autonomous agentic systems in production environments.

• Strong understanding of observability, governance, risk management, and cost-control practices within cloud environments.

• Demonstrated success in establishing engineering standards, reference architectures, and technical governance frameworks.

• Experience leading technical teams and mentoring junior engineers.