Technology Lead, Agentic AI and R&D (Bay Area or Remote)

EMD Electronics; San Jose (CA); On-site; USD 119,300 - 178,900; Full time

Benefits offered by this job

Health insurance

Paid time off

Retirement contributions

Other perquisites

Job summary

EMD Electronics is seeking a Senior Platform Architect to own the architecture and evolution of a production‑grade agentic system enabling autonomous experiment design and automated reporting at scale.

You will guide internal engineers and external contractors, uphold engineering standards, build shared infrastructure, and ensure security, testing, and observability across the platform as it scales.

Qualifications

• Master’s degree in computer science, data science, chemistry, materials science, or a related field with 3+ years of experience.
• PhD in a related field with 2+ years of experience.
• Demonstrated experience in technical leadership and architectural decisions.

Responsibilities

• Own the architecture and evolution of a production‑grade agentic system for autonomous experiments.
• Define engineering standards and drive scalable design with cross‑functional teams.
• Lead roadmap in a SAFe cadence and mentor developers and contractors.

Skills

Technical leadership

Distributed systems

APIs

Cloud computing

Security practices

Mentoring

Education

Master’s degree in computer science or related field

PhD with 2+ years experience (related field)

Tools

CI/CD pipelines

Observability

AWS

Azure

Job description

Location

San Jose, California | Remote Flexibility Available

Your Role

You will be the technical cornerstone of a high-impact, multi-agent platform that powers AI‑amplified research and development. In this pivotal role, you will own the architecture and evolution of a production‑grade agentic system that enables autonomous experiment design and automated reporting at scale. Your work will directly shape how science and technology interact, driving meaningful progress for patients and customers worldwide.

You will define and uphold engineering standards through hands‑on code review, pairing, and concrete examples, ensuring quality and maintainability endure beyond individual contributors. You will build and maintain shared agentic infrastructure that allows multiple programs to contribute specialized agents within a single governed platform, connecting it to external tooling, partners, and the broader ecosystem for seamless integration and scalable growth.

You will own platform design decisions spanning data sources, access controls, agent composition patterns, scalability, and technical debt management. Within a SAFe delivery cadence, you will lead the technical roadmap, guiding both internal engineers and external contractors to maintain architectural consistency. You will ship production code, own CI/CD pipelines and observability, and drive robust testing and security practices for sensitive research data.

You will translate complex research and development requirements into reliable technical solutions and communicate them clearly to both technical and non‑technical stakeholders. You will mentor developers, lead by example, and help the team navigate the evolving AI landscape with disciplined, evidence‑based decision making. As the permanent internal anchor for architecture and standards, you will ensure the platform remains reliable, secure, and extensible as the program scales.

Who You Are

You possess the curiosity, determination, and expertise to lead complex engineering initiatives in a fast‑moving, data‑driven environment.

Minimum Qualifications

• Master’s degree in computer science, data science, chemistry, materials science, or a related field with 3+ years of experience, or PhD in a related field with 2+ years of experience.
• Demonstrated experience in technical leadership, including making architectural decisions under uncertainty and guiding cross‑functional engineering teams.
• Solid understanding of distributed systems, APIs, and cloud infrastructure on AWS and/or Azure.
• Security‑first mindset with hands‑on knowledge of authentication, authorization, input validation, and AI‑specific risks such as prompt injection and data leakage.
• Experience establishing engineering standards, automated testing strategies, and maintainable code practices that scale across teams and contributors.

Preferred Qualifications

• Proven track record of building and operating complex, production‑grade software systems end to end, including ownership of CI/CD, observability, and on‑call operations.
• Experience designing or operating multi‑agent or agentic AI platforms in a production environment.
• Familiarity with large language model (LLM) orchestration frameworks and patterns for agent composition and governance.
• Experience working within SAFe or similar scaled agile delivery frameworks.
• Strong communication skills with the ability to bridge software engineering and non‑technical research or product stakeholders.
• Familiarity with research and development workflows, scientific data environments, or regulated data contexts where security and data governance are critical.

Compensation

Base Pay Range: $119,300–$178,900.

The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job‑related factors. Position may be eligible for sales or performance‑based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites.

Benefits

We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress.

Apply now and become a part of a team that is dedicated to sparking discovery and elevating humanity!