Applied AI Architect, Beneficial Deployments (Life Sciences) in London

Applied AI Architect, Beneficial Deployments (Life Sciences) in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Maximise AI impact in life sciences, guiding partners from discovery to deployment.
  • Company: Join Anthropic, a leader in creating safe and beneficial AI systems.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic team culture focused on collaboration and impactful solutions.
  • Why this job: Be at the forefront of AI innovation, transforming life sciences for the better.
  • Qualifications: 8+ years in a technical role with experience in life sciences or scientific computing.

The predicted salary is between 63000 - 77000 £ per year.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About Beneficial Deployments

Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.

About the Role

We're looking for an Applied AI Architect to join Beneficial Deployments, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem, from early discovery in academia to paradigm-shifting biotech to reimagining pharma pipelines.

This role combines technical expertise with deep relationship-building. You'll be the primary technical advisor for our life sciences partners, including flagship research institutions like The Howard Hughes Medical Institute (HHMI) and The Allen Institute. You'll drive engagements from discovery through deployment, working closely with the life sciences segment lead and Applied AI Engineers to deliver impact. This role will be part of the founding Beneficial Deployments Applied AI team focused on bringing life sciences closer to the frontier.

Responsibilities

  • Serve as the primary technical advisor to life sciences research institutions and mission-driven organizations throughout their Claude adoption journey.
  • Partner with the segment lead to understand scientific workflows end-to-end and translate them into impactful solutions from discovery through deployment.
  • Transform partners into AI-native organizations through Claude Code and Claude Science enablements and research and business process evolution, so they can operate more effectively and build for where AI capabilities are headed.
  • Design and lead cohort-based accelerators to scale our expertise and impact across multiple institutions at once.
  • Identify what's actually hard about deploying AI in life sciences and feed those findings back to product, engineering, and research.
  • Spot patterns across partners to inform what we build at the ecosystem level, including MCP servers for domain-specific data sources, scientifically grounded benchmarks and evals, and reusable agent skills.
  • Create technical presentations, demos, and scalable content (documentation, tutorials, sample code) so what works for one institution can scale globally without the same level of hand-holding.
  • Travel occasionally to partner sites for workshops, technical deep dives, and relationship building.
  • Help shape team processes and culture as we scale from 1 to N.

You Might Be a Good Fit If You Have

  • 8+ years in a technical role, ideally with customer-facing exposure (Solutions Architect, Customer Engineer, Sales Engineer, Technical Account Manager, Product Engineer, Forward Deployed Engineer).
  • Experience in life sciences, biomedical research, or scientific computing. Bonus if you've worked in genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.
  • Experience working in or building trust with academic research institutions, biotech, pharma, or other mission-driven scientific organizations, and an understanding of their unique challenges and constraints.
  • Familiarity with common LLM implementation patterns, including prompt and context engineering, evaluation frameworks, agent architectures, and retrieval frameworks.
  • A love of teaching, mentoring, and helping others succeed.

Applied AI Architect, Beneficial Deployments (Life Sciences) in London employer: EngineersOfAI

At Behavox, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our commitment to employee growth is evident through tailored development opportunities and a collaborative environment that encourages creativity and strategic thinking. Located in a vibrant hub of technology and finance, we offer unique advantages such as exposure to cutting-edge AI solutions and the chance to lead transformative projects that shape the future of our global finance function.

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Contact Details:

EngineersOfAI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied AI Architect, Beneficial Deployments (Life Sciences) in London

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Applied AI Architect, Beneficial Deployments (Life Sciences) in London

Technical Expertise
Relationship Building
Life Sciences Knowledge
Biomedical Research Experience
Scientific Computing
Genomics Knowledge
Neuroscience Knowledge

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at EngineersOfAI.

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How to prepare for a job interview at EngineersOfAI

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If EngineersOfAI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

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