Description :

Title : Scalable Design Solutions Agentic AI Engineer.

About GlobalFoundries :

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the worlds most inspired technology companies.

With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets.

Summary Of Role :

You are part of a team developing industry-leading GenAI solutions for semiconductor enablement development and design workflows.

You will be responsible for designing and implementing the agentic AI orchestration layer that powers these solutions with autonomous decision-making, tool coordination and human-in-the-loop oversight.

You will develop multi-agent workflows, custom protocol integrations (MCP), and AI-to-AI (A2A) communication systems that enable intelligent automation across EDA tool workflows, IP development, verification, and other semiconductor engineering processes.

You will work closely with GenAI/AI R&D engineers, Web app developers, and Domain experts.

Essential Responsibilities:

- Design and implement multi-agent orchestration systems using frameworks like LangGraph or custom solutions to coordinate GenAI applications across semiconductor workflows.

- Architect and implement Model Context Protocol (MCP) servers, clients, and custom protocols for agent-to-agent (A2A) and agent-to-tool communication.

- Build standardized connector frameworks and abstraction layers enabling integration with EDA tools, databases, and engineering systems.

- Design agent architectures leveraging cloud foundation models (AWS Bedrock or similar) with intelligent routing, reasoning frameworks, and RAG systems.

- Implement state management, human-in-the-loop workflows, error recovery, monitoring, and cost optimization strategies.

- Collaborate with GenAI developers, domain experts, and DevOps teams following Agile methodologies.

- Deliver on OKRs and milestones with comprehensive technical documentation.

Other Responsibilities :

- Support all Environmental, Health, Safety & Security requirements.

- Collaborate with cross-functional teams (GenAI Developers, CAD Engineers, Design Teams, DevOps, IT).

- Stay current with latest developments in agentic AI, MCP protocols, and multi-agent systems.

Qualifications Required :

- Bachelor's or Master's in Computer Science, DataScience,Electronics Engineering, or related field.

- 5+ years software engineering with expert Python skills.

- 2+ years building agentic AI systems and multi-agent orchestration.

- 1+ years of experience with MCP or similar standards.

- Deep expertise in AI orchestration frameworks (LangGraph, CrewAI, LangChain).

- Experience with cloud foundation model services (AWS Bedrock, Azure OpenAI, etc.

- Strong understanding of distributed systems and event-driven architectures.

- Proven ability to architect complex, multi-component systems.

- Excellent system design and problem-solving skills.

Preferred :

- Experience with workflow orchestration systems (Step Functions, Airflow, Temporal).

- Background in semiconductor design, EDA tools, or technical automation.

- Cloud and AI/ML certifications.

- Contributions to open-source agent frameworks.

Key Competencies :

- Systems thinking and scalable architecture design.

- Strong collaboration across technical and domain teams.

- Bias toward reusable, extensible frameworks.

- Self-motivated in ambiguous environments.

- Excellent documentation and communication.