Principal Software Engineer - Agentic Platform

About the role

Pioneering Intelligence builds on Flagship Pioneering’s legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first companies. As part of Flagship’s integrated model of science, entrepreneurship, and capital, it transforms breakthrough ideas into world-changing companies, elevating the AI advances happening across the ecosystem in human health, sustainability, and beyond.

Responsibilities

• Own the agentic platform end to end, from research prototype to production, building the durable orchestration layer for long-running, multi-stage scientific workflows.
• Architect workflow orchestration, evaluation frameworks, and event-driven distributed systems that deliver scale, resilience, and reliability.
• Define SDK abstractions and API contracts between model and agent outputs and downstream consumers, decoupling rapid model iteration from product stability and reducing integration friction across teams.
• Deliver infrastructure-as-code reference implementations (AWS CDK, Terraform, containerized services) and transform exploratory AI proof-of-concepts into hardened, reusable patterns adopted across product domains.
• Own platform cost-efficiency and scalability while preserving the performance and accuracy that our experiments and end users require.
• Explore and template agent design and deployment patterns, and set technical standards, code quality, and architectural direction for the platform.
• Partner across teams (modeling and agent teams, product) to align on integration points, dependency timelines, and delivery, and mentor engineers and scientists.

Qualifications

• B.S. or M.S. in Computer Science, Engineering, or a related field, with 10+ years of professional software development experience.
• Demonstrated track record architecting and maintaining large-scale distributed systems in production at technology companies.
• Deep expertise in workflow orchestration and event-driven architecture, including stateful execution, idempotency, durable retries, and replay.
• Strong cloud-native engineering on AWS with infrastructure-as-code, containerization, and autoscaling.
• Proven ability to take systems from prototype to hardened, observable, operationally excellent production.
• Experience designing SDKs, APIs, and data contracts that serve multiple downstream teams.
• Excellent communication skills and the ability to build organizational consensus around platform decisions.
• Collaborative and empathetic working style: listens to understand the needs of scientists, engineers, and downstream teams, and leads through influence.
• Proven track record setting technical strategy and direction for a growing engineering organization, and mentoring engineers in a fast-moving environment.