Agentic AI Systems Engineer

Agentic Ai Systems Engineer

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors.

The software industry evolved from basic text editors to full-fledged IDEs. We are now entering the next shift: Agentic Development Environments (ADEs)—where AI agents are first-class contributors across the software development lifecycle.We are building the systems that make this future real.

Role Overview As an Agentic AI Systems Engineer, you will design and build the platform foundations that enable autonomous, always-on AI agents to collaborate with engineers at scale. This role is for engineers who think in systems, abstractions, and long-term leverage—not just features.You will work at the intersection of developer platforms, distributed systems, and applied AI, shaping how agentic engineering operates across the organization.

Key Platform Areas

• MCP Platform Layer Build and evolve the Model Context Protocol (MCP) layer that provides AI agents with structured, secure, and low-latency access to internal tools, data, documentation, and the developer's lifecycle.
• Skill Marketplace Design systems that convert tribal knowledge into composable, portable "skills." These skills can be loaded by agents on demand, making any engineer or agent productive in any repository instantly.

What You Will Build

• Skill Pack Framework Architect and ship the end-to-end skill framework, including authoring, versioning, distribution, and runtime loading across Java, Python, C++, and web-based codebases. Skills are the core differentiator—encapsulated expertise that travels with the agent.
• Multi-Agent Runtime Design and implement a multi-agent execution environment with persistent background agents, swarm coordination, and cross-agent context sharing. Enable agents to operate continuously and in parallel, not as one-shot invocations.
• Agent-Aware Code Intelligence Develop deep code understanding systems such as semantic code search, dependency-aware context modeling, and structural codebase analysis. Move beyond text-based retrieval toward true program-level reasoning.

Responsibilities

• Own and evolve the MCP platform, unifying code, documentation, and developer lifecycle MCPs into a single, dependable context infrastructure.
• Partner with product, domain, service, and backend platform teams to deliver foundational agentic systems.
• Define technical direction for agentic infrastructure across domain and shared platforms.
• Establish architecture standards, verification methods, and trust models for agent-generated code at organizational scale.
• Mentor engineers in agentic development practices and raise the bar for how teams build and ship with AI agents.

Must-Have Qualifications

• Proven experience building and operating developer tooling or platform infrastructure (SDKs, CLIs, APIs, runtimes) in large-scale engineering environments.
• Strong proficiency in at least one major programming language (e.g., Java, Python, C++) with hands-on experience integrating AI/ML models into developer workflows.
• Solid system design expertise for highly reliable, observable, developer-facing services and agentic systems.

Additional Information

Time Type: Full time

Employee Type: Assignee / Regular

Travel: Yes, 20% of the Time

Relocation Eligible: Yes

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.