Forward Deployed AI Engineer
About the Job
The Opportunity
We are looking for a Forward Deployed AI Engineer to serve as the critical bridge between our frontier generative models and the customers who rely on them.
You will work directly with pharmaceutical and biotech customers to deploy, integrate and optimise our technology within their scientific workflows. This is a highly technical, customer-facing role that combines deep infrastructure expertise with a passion for solving real-world problems in drug discovery and protein engineering.
You will work closely with customers to understand their unique technical environments and ensure that our generative biology platform integrates seamlessly with their systems. You will own the full lifecycle of customer deployments — from initial technical scoping through to production-grade delivery — and act as the voice of the customer back into our product and research teams.
Who We Are
We are an ambitious, research-led technology company building frontier machine-learning models designed to learn fundamental aspects of biology.
Our interdisciplinary team brings together significant experience across generative AI, computational biology, scientific software, laboratory data systems and high-throughput biological experimentation.
You will work alongside highly experienced researchers, engineers and scientists developing advanced generative models and translating them into technology capable of addressing complex biological problems.
Our culture emphasises interdisciplinary exchange, continuous learning and close collaboration. We are looking for innovators who are passionate about tackling technically challenging problems and applying cutting-edge technology to areas with significant real-world impact.
Who You Are
- You have a strong CS or ML educational background. You hold a degree (BSc, MSc or PhD) in Computer Science, Machine Learning or a closely related quantitative field. You have a solid grounding in software engineering principles and modern ML frameworks.
- You have built systems that access large models via APIs. You have significant experience designing, deploying and maintaining infrastructure for large-scale model serving and hands-on experience building robust API layers around ML models.
- You are customer-facing and delivery-oriented. You have direct experience deploying AI systems for external customers. You can translate complex technical concepts into clear language for non-technical stakeholders and thrive in environments where customer success is a primary measure of your work.
- You are fluent in cloud infrastructure. You have hands-on experience with AWS and ideally other major cloud platforms such as GCP or Azure. You are comfortable with containerisation technologies such as Docker and Kubernetes, CI/CD pipelines and cloud-native architectures.
- You are a strong communicator and collaborator. You work effectively across functions, from research scientists to business executives. You are comfortable leading technical discussions, writing clear documentation and presenting solutions to senior stakeholders at partner organisations.
- You are mission-driven and adaptable. You are passionate about using technology to create positive real-world impact. You thrive in a dynamic, fast-paced environment where priorities can shift and you may need to context-switch between multiple customer engagements.
What Sets You Apart
- Experience with biological or protein-design models. You have worked on ML-driven projects in computational biology, protein design or related life-science domains. You understand the distinctive data challenges and evaluation approaches associated with biological modelling.
- Contributions to generative modelling innovation. You have a track record of contributing to generative modelling through research publications, open-source work or impactful product development.
- Experience building production enterprise software. You have delivered software that meets enterprise-grade requirements around security, compliance, auditability and uptime. You understand the difference between a prototype and a production system.
- Pharmaceutical or biotech industry experience. You understand the regulatory landscape, data-governance requirements and scientific workflows commonly found within pharmaceutical and biotechnology organisations.
Your Responsibilities
Customer Deployment & Integration
- Drive the end-to-end technical deployment of generative AI models into customer environments, ensuring seamless integration with existing scientific and IT infrastructure.
- Design and build production-grade API integrations, data pipelines and model-serving infrastructure tailored to individual customer requirements.
- Work closely with pharmaceutical and biotechnology partners to scope technical requirements, troubleshoot issues and deliver effective solutions.
- Work on-site or embedded with customers where required.
- Ensure deployments meet enterprise standards for security, performance and reliability.
Customer Advocacy & Product Feedback
- Serve as a technical point of contact for assigned customers, building trusted relationships with their scientific and engineering teams.
- Spend time working on-site at partner locations, including international travel where required.
- Gather and synthesise customer feedback and translate it into actionable insights for product, research and platform teams.
- Collaborate with internal teams to shape the product roadmap based on learnings from real-world deployments.
- Create technical documentation, integration guides and best-practice resources for customers.
Self Development
- Stay current with developments in ML infrastructure, model serving and cloud-native technologies.
- Develop a strong working understanding of protein and cell biology as it relates to the company’s technology.
- Participate actively in internal knowledge sharing, including technical discussions, presentations and reading groups.
What We Offer
We offer a highly competitive compensation and benefits package, including:
- Private health insurance
- Pension contributions
- Generous leave policies, including gender-neutral parental leave
- Hybrid working
- Travel opportunities
- Professional development and learning opportunities
You will join a stimulating, interdisciplinary working environment and have the opportunity to help shape the application of advanced generative machine learning to biological research and discovery.
We welcome applicants from all backgrounds and are committed to building a team representing a variety of backgrounds, perspectives and skills.