Senior Applied AI Engineer

Simulation
95 builds AI for healthcare and life sciences. We work with researchers, engineers, and domain experts to turn specialized knowledge into useful tools. Our work emphasizes reliable evaluation, secure handling of information, and applications grounded in real workflows.

You will help customers solve practical problems with Simulation
95's AI services through hands-on implementation, coaching, and personalized pilot support. You will build useful workflows, teach effective AI use, and bring actionable feedback to our product and engineering teams. This is a senior individual-contributor role. Healthcare experience is welcome but not required.

• Lead customer implementations and pilots, from understanding workflows and choosing useful applications through configuration, integration, testing, and adoption.
• Build and adapt AI workflows using APIs, retrieval, structured outputs, and tool integrations; connect solutions to customer processes with appropriate data permissions and human review.
• Provide white-glove service through onboarding, demonstrations, workshops, and one-to-one coaching; teach users effective prompting, output review, and practical AI problem solving.
• Work closely with pilot users to remove adoption barriers, troubleshoot problems, and improve workflows; assess quality, usefulness, and efficiency against agreed pilot goals.
• Identify and reproduce issues, document user impact and expected versus actual behavior, and report findings to product and engineering; verify fixes and communicate resolutions to users.
• Turn pilot feedback into product recommendations, reusable examples, training materials, and implementation guides that help customers get more value from our services.

• Experience implementing AI applications for real users and supporting them through testing, rollout, and adoption.
• Strong Python or Type Script skills and practical experience with model APIs, integrations, and troubleshooting; familiarity with retrieval or tool-using AI workflows.
• Ability to translate unclear customer needs into working solutions and evaluate whether outputs are accurate, useful, and appropriate for the task.
• Clear communication, teaching, and coaching skills, including explaining AI capabilities and limitations to nontechnical audiences with patience and practical examples.
• Strong customer judgment and follow-through; ability to distinguish product defects, implementation problems, and training needs while protecting confidential information.

• Healthcare, life-sciences, or clinical-workflow experience. Candidates from other industries are equally welcome.
• Experience delivering customer pilots, technical workshops, or personalized implementation services for workflows involving sensitive information.