Forward Deployed Engineer
Thermo Fisher Scientific2 months ago
Raleigh, NC, USASenior
Responsibilities
- Discover and technically scope AI use cases by analyzing workflows, data needs, feasibility, risk, value, and scalability.
- Design end-to-end AI solution architectures covering user experience, models or platforms, data, APIs, integrations, security, monitoring, and support.
- Lead or contribute hands-on to prototypes, proof-of-concepts, and minimum viable solutions, then guide successful solutions into production.
- Advise on AI agents, GPTs, copilots, workflow assistants, retrieval-augmented generation, prompt design, evaluation, grounding, and orchestration.
- Create reusable reference architectures, components, templates, playbooks, and implementation guidance for scalable AI delivery.
- Partner with engineering, platform, cloud, cybersecurity, data, governance, and business teams to ensure secure, compliant, maintainable adoption.
- Define measurement approaches for adoption, business value, solution performance, and production impact.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field, or equivalent practical experience.
- At least 5 years of experience in software engineering, solution architecture, technical deployment, enterprise architecture, AI engineering, data engineering, or a similar technical role.
- Experience designing and delivering complex technical solutions in large enterprise environments.
- Hands-on experience with AI, generative AI, machine learning, automation, API-based integrations, or modern application development.
- Ability to write, review, or guide production-quality code in Python, JavaScript/TypeScript, Java, or similar languages.
- Experience with cloud architecture, identity and access management, data integration, application integration, APIs, and enterprise security considerations.
- Strong understanding of large language models, AI agents, retrieval-augmented generation, prompt engineering, evaluations, and model behavior.
- Demonstrated ability to translate business workflows and requirements into technical solutions and communicate with technical and non-technical audiences.
- Preferred qualifications include deploying AI in regulated or global enterprises, using ChatGPT Enterprise, OpenAI APIs, Azure OpenAI, Microsoft Copilot, or agent frameworks, and creating reusable architecture or developer enablement materials.
- Understanding of data governance, privacy, cybersecurity, regulatory compliance, responsible AI, and relevant life sciences, healthcare, manufacturing, or scientific domains is preferred.
Benefits
- Competitive remuneration and an annual incentive plan bonus scheme.
- Healthcare, company 401k, and other employee benefits.
- Career and development prospects within an innovative, forward-thinking organization.
- Standard Monday–Friday work schedule in an office environment in Raleigh, NC.
- Relocation assistance is not provided; U.S. work authorization without sponsorship is required.
- Employment is contingent on passing a comprehensive background check including drug screening.
Tech Stack
Categories
Forward Deployed
About Thermo Fisher Scientific
Thermo Fisher Scientific builds analytical instruments, lab equipment and consumables, specialty diagnostics, and provides pharma services (CDMO and clinical research) for biotech, pharma, academic, and healthcare customers. It earns revenue through product sales, e-commerce distribution (Fisher Scientific), and contract services under brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Patheon, and PPD. Headquartered in Waltham, MA, it is publicly traded on the NYSE (TMO) and was created by the 2006 merger of Thermo Electron and Fisher Scientific.