Agentic AI Systems Engineer

Who We Are\n\nApplied Materials is the 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 \u2013 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 \u2013 like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible\u00ae a Better Future. \n\nAt Applied, we prioritize your well-being and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We\u2019re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our Benefits.\n\nThe Agentic AI Systems Engineer is responsible for building the agentic infrastructure that enables next generation of GenAI applications for Applied Products. The role bridges AI, software infrastructure, and domain engineering to ensure that agentic systems are secure, deterministic, and drive velocity and productivity for our products.\n\nWhat You Will Build\n\n * Skill Pack Framework \nArchitect 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\u2014encapsulated expertise that travels with the agent.\n * Multi-Agent Runtime \nDesign 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.\n * Agent-Aware Code Intelligence \nDevelop 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.\n\n\n\nKey Responsibilities:\n\n * Architect, design and implement the agent runtime and orchestration platform that enables AI assisted development workflows across Applied products.\n * Act as a bridge between AI research capabilities and real production software needs, translating emerging agentic patterns into deployable infrastructure.\n * Own the end-to-end lifecycle of agentic systems, define core abstractions for agents, tools, memory, planning, validation, and execution, ensuring reuse and consistency across teams.\n * Partner with teams and develop the MCP platform, unifying code, documentation, and developer lifecycle MCPs into a single, dependable context infrastructure.\n * Design mechanisms for secure tool access, API allow listing, and controlled execution against internal systems.\n * Establish evaluation frameworks to track correctness, latency, cost, safety events, and human override frequency. Build instrumentation for logging, metrics, and tracing of agent behavior across sessions and workflows. \n * Provide technical leadership and mentorship to engineering teams adopting agent \ufffcbased workflows.\n\n\n\nRequired Skills \u0026 Experience\n\n * Strong system level thinking with the ability to design end-to-end architectures spanning agents, tools, memory, governance, and observability.\n * Experience designing agent runtimes or orchestration layers (not just using frameworks).\n * Solid system design expertise for highly reliable, observable, developer-facing services and agentic systems.\n * 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.\n * Proven experience building and operating developer tooling or platform infrastructure (SDKs, CLIs, APIs, runtimes) in large-scale engineering environments.\n * 7+ years of industry relevant experience\n\n\n\nNice-to-Have\n\n * Experience with advanced agentic patterns (multi\u2011agent workflows, planner/critic loops).\n * Hands on exposure to on prem LLM deployment and optimization.\n * Practical knowledge of RAG and vector search systems for grounding AI outputs\n * Background in security first or high reliability software environments\n\n\n\nWho We Are\n\nApplied Materials is the 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 \u2013 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 \u2013 like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible\u00ae a Better Future. \n\nAt Applied, we prioritize your well-being and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We\u2019re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our Benefits.\n\nThe Agentic AI Systems Engineer is responsible for building the agentic infrastructure that enables next generation of GenAI applications for Applied Products. The role bridges AI, software infrastructure, and domain engineering to ensure that agentic systems are secure, deterministic, and drive velocity and productivity for our products.\n\nWhat You Will Build\n\n * Skill Pack Framework \nArchitect 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\u2014encapsulated expertise that travels with the agent.\n * Multi-Agent Runtime \nDesign 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.\n * Agent-Aware Code Intelligence \nDevelop 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.\n\n\n\nKey Responsibilities:\n\n * Architect, design and implement the agent runtime and orchestration platform that enables AI assisted development workflows across Applied products.\n * Act as a bridge between AI research capabilities and real production software needs, translating emerging agentic patterns into deployable infrastructure.\n * Own the end-to-end lifecycle of agentic systems, define core abstractions for agents, tools, memory, planning, validation, and execution, ensuring reuse and consistency across teams.\n * Partner with teams and develop the MCP platform, unifying code, documentation, and developer lifecycle MCPs into a single, dependable context infrastructure.\n * Design mechanisms for secure tool access, API allow listing, and controlled execution against internal systems.\n * Establish evaluation frameworks to track correctness, latency, cost, safety events, and human override frequency. Build instrumentation for logging, metrics, and tracing of agent behavior across sessions and workflows. \n * Provide technical leadership and mentorship to engineering teams adopting agent \ufffcbased workflows.\n\n\n\nRequired Skills \u0026 Experience\n\n * Strong system level thinking with the ability to design end-to-end architectures spanning agents, tools, memory, governance, and observability.\n * Experience designing agent runtimes or orchestration layers (not just using frameworks).\n * Solid system design expertise for highly reliable, observable, developer-facing services and agentic systems.\n * 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.\n * Proven experience building and operating developer tooling or platform infrastructure (SDKs, CLIs, APIs, runtimes) in large-scale engineering environments.\n * 7+ years of industry relevant experience\n\n\n\nNice-to-Have\n\n * Experience with advanced agentic patterns (multi\u2011agent workflows, planner/critic loops).\n * Hands on exposure to on prem LLM deployment and optimization.\n * Practical knowledge of RAG and vector search systems for grounding AI outputs\n * Background in security first or high reliability software environments\n\n\n\n## Qualifications\n\n### Education:\n\nBachelor\u0027s Degree\n\n### Skills\n\n### Certifications:\n\n### Languages:\n\n### Years of Experience:\n\n4 - 7 Years\n\n### Work Experience:\n\n## Additional Information\n\n### \n\n### Shift:\n\n10-Day 8-Hr (United States of America)\n\n### \n\n### Travel:\n\nYes, 10% of the Time\n\n### \n\n### Relocation Eligible:\n\nYes\n\n### Referral Payment Plan:\n\nEmployee Referral (Standard)\n\nU.S. Salary Range:\n\n$152,000.00 - $208,500.00\n\nThe salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. \n\nFor all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.\n\nApplied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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. \n