Forward Deployed Engineer (FDE), Life Sciences

Who you are

You have a strong background in engineering, particularly in deploying AI models within life sciences contexts. Your experience includes leading end-to-end deployments, from early research and development through to clinical and operational workflows. You are comfortable working with sensitive data environments, ensuring compliance and security in your architectural decisions. You possess excellent communication skills, enabling you to collaborate effectively with customer engineering and domain teams. You are results-driven, measuring success through production adoption and workflow impact.

You have a solid understanding of system design and integration, with experience in building reliable production systems. Your technical skills include proficiency in Python and familiarity with cloud platforms like AWS. You are adept at managing data flows and ensuring system reliability, and you have experience with containerization technologies such as Docker and orchestration tools like Kubernetes. You are passionate about leveraging AI to solve real-world problems and are eager to contribute to impactful projects.

Desirable

Experience in the life sciences sector is a plus, as is familiarity with regulatory requirements and compliance standards. You may have worked on projects that involve clinical data or research institutions, giving you insights into the unique challenges faced in these environments. A background in machine learning and data engineering will further enhance your ability to succeed in this role.

What you'll do

As a Forward Deployed Engineer at OpenAI, you will lead the deployment of AI models within life sciences organizations. Your responsibilities will include designing and shipping production systems, owning integrations, and managing data flows. You will work closely with customer teams to define launch criteria for regulated contexts and drive adoption until you demonstrate measurable production impact. You will also run evaluation loops to assess model and system quality in life science workflows, ensuring that the solutions you implement meet the highest standards of reliability and performance.

You will engage in discovery and scoping activities, collaborating with cross-functional teams to frame problems, identify constraints, and develop delivery plans. Your role will require you to balance technical requirements with customer needs, ensuring that the solutions you provide are both effective and compliant with industry standards. You will be responsible for measuring success through production adoption and feedback, which will inform future product and model roadmaps.

What we offer

OpenAI offers a hybrid work model, allowing you to work three days in the office per week while providing flexibility for remote work. We are committed to supporting our employees with relocation assistance and opportunities for professional growth. You will be part of a dynamic team that is at the forefront of AI technology, working on projects that have the potential to transform the life sciences industry. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.

Join us in shaping the future of technology and making a meaningful impact in the world through AI.