Staff Software Engineer, AI Solutions & Platforms

Work Schedule Standard (Mon-Fri)

Environmental Conditions Office

Job Description

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About the Role

At Thermo Fisher Scientific, you’ll do meaningful work that makes a positive global impact. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner, and safer. With industry-leading R&D investment, we empower our teams to solve complex scientific challenges—from environmental protection to advancing healthcare and cancer research.

As a Staff Engineer, AI Solutions & Platforms, you will provide end-to-end architectural, design, and technical leadership across multiple teams delivering enterprise-grade AI and Generative AI solutions. As a hands-on technical leader and architect, you will own system design decisions, define reference architectures, and guide implementation of AI-powered capabilities, including deep learning models, LLMs, RAG solutions and agentic workflows across internal and external customer-facing applications. You’ll also mentor engineers, influence platform strategy, and ensure AI-driven systems are secure, resilient and production-ready. A successful candidate in this role is expected to collaborate effectively with the broader teams, and consistently deliver well-architected, scalable, secure, production-grade AI and Generative AI features supporting a variety of use cases and scientific products, with measurable impact on scientific workflows, customer outcomes and innovation velocity.

Key Responsibilities

• Provide software and systems architecture leadership including reference architectures, design standards, patterns, and best practices for AI and Generative AI platforms and solutions.

• Own high-level and low-level system design, including component architecture, data flows, integration patterns, and deployment strategies.

• Design and evolve cloud-native, event-driven, and API-first architectures for AI-enabled products and platforms.

• Design, develop, and integrate Generative AI systems using LangChain and LangGraph for agentic workflows and orchestration.