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Job description
We're partnering with an innovative technology company at the forefront of applying AI to complex scientific and research environments. Their platform helps organizations unlock value from large-scale technical data, enabling the development of intelligent systems that accelerate innovation across research, development, and manufacturing functions.
This is a highly visible opportunity for an experienced AI engineer who wants to move beyond experimentation and own the delivery of production-grade AI solutions from concept through deployment and adoption.
The Opportunity
You'll work directly with customers and internal stakeholders to identify high-value AI use cases, architect solutions, build and validate models, and ensure they can be deployed responsibly and effectively in real-world environments.
This role is ideal for someone who enjoys solving challenging applied AI problems and has experience taking projects from initial idea through to production, including defining how success is measured and governed.
What You'll Be Doing
Designing, building, deploying, and maintaining AI and machine learning solutions
Leading projects end-to-end, from requirements gathering through production rollout
Developing evaluation methodologies, validation processes, and performance measurement frameworks
Building governance mechanisms, guardrails, and controls for AI-driven applications
Working closely with technical and non-technical stakeholders to translate business challenges into AI solutions
Advising leadership teams on technical feasibility, risks, and implementation strategies
Collaborating with cross-functional engineering, product, and customer teams
What We're Looking For
Significant experience building and deploying AI/ML solutions in production environments
Demonstrated ownership of complex projects from concept through delivery
Strong experience developing evaluation, testing, validation, and governance frameworks for AI systems
Track record of solving real-world business or scientific problems using machine learning, LLMs, agentic systems, reinforcement learning, or related technologies
Strong software engineering fundamentals and experience working within larger product development teams
Ability to work independently while collaborating effectively with customers and colleagues
We're especially interested in candidates who have worked within:
Biopharmaceutical organisations
Scientific research environments
Laboratory or R&D technology platforms
Process development or manufacturing science teams
Highly regulated industries where reliability, traceability, and governance are critical
A genuine interest in applying AI to scientific discovery, development, and manufacturing challenges would be highly advantageous.
Why Join?
This is an opportunity to help shape how advanced AI is deployed in environments where accuracy, explainability, and measurable outcomes matter. You'll work on complex, meaningful problems, have significant ownership over technical direction, and collaborate with organisations tackling some of the most interesting challenges in science and industry today.
If you're excited by building AI products end-to-end and want to see your work create real-world impact beyond proof-of-concepts and demos, we'd love to hear from you.
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.