This role involves working with nonprofits, research institutes, and academic medical centers to deploy AI in clinical trials and drug repurposing for rare and neglected diseases. Responsibilities include designing and reviewing clinical trial protocols, building tools for drug repurposing, and developing reusable infrastructure.
This role involves deploying AI to automate scientific experiments in labs, working closely with researchers to integrate Claude into their workflows. Responsibilities include prototyping, writing production code, and driving product and research direction based on field experience.
Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle using cloud platforms and containerisation technologies.
Lead the creation and growth of a dedicated maritime AI solutions unit for defence clients, including the Royal Navy and NATO/AUKUS. Act as a strategic entrepreneur to identify high-value opportunities, develop AI-driven propositions for naval challenges, and oversee end-to-end delivery of transformational technology projects. Requires deep maritime domain expertise and the ability to build trusted relationships with senior stakeholders in high-stakes environments.
As a Lead Software Engineer at Faculty, you will drive the technical strategy, architecture, and deployment of secure AI systems across high-stakes domains. You will work closely with Frontier Labs to champion safety-first AI frameworks, mentor engineering talent, and advise clients on AI safety and technical strategies.
Lead and deliver high-impact machine learning solutions within the Defence sector, shaping technical strategy and client engagements. You will develop production-grade AI systems, including generative and agentic AI, while mentoring junior data scientists and guiding technical selling efforts. Work involves on-site collaboration with government clients and setting standards across complex, real-world AI deployments.
Lead a distributed engineering team building critical connectivity infrastructure for AI agents, focusing on secure, scalable access to external systems via the MCP standard. Responsibilities include managing token management, OAuth flows, and proxy systems that power tool use across Anthropic's products. The role emphasizes operational rigor, cross-team alignment, and technical leadership in a high-trust, enterprise-focused environment.
This role involves managing a team of Technical Deployment Leads in the Financial Services sector, ensuring successful AI project delivery, and building strong relationships with executive stakeholders. Responsibilities include hiring, setting delivery standards, and leading complex engagements.
Lead and scale Anthropic's Forward Deployed Engineering team by hiring top talent, overseeing technical delivery for strategic enterprise customers, and building repeatable playbooks for AI adoption. This role combines hands-on technical leadership with team development, shaping how organizations deploy Claude in production environments while feeding field insights back into product development.
