TELECOMMUTE

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.

• Master’s degree in computer science, data science, chemistry, materials science, or a related field with 3+ years of experience Or Ph.D in computer science, data science, chemistry, materials science, or 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., * 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.

Base Pay Range for this position: $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. For more information click here.