Forward Deployed AI Engineer

Shape the future of AI-led business transformation. A Forward Deployed AI Engineer works embedded inside a client's enterprise, shoulder to shoulder with their teams, making complex AI platforms work in real organisational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. We are building the largest Forward Deployed Engineering capability in the services industry. The engineers who join at this stage will define what the role looks like at scale, and will work on the most interesting enterprise AI problems across every industry. What You Will Do - Embed directly with client engineering and business teams to deploy, scale, and operationalise AI platforms, including Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, and Palantir, inside enterprise environments - Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability - Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready - Design and govern AI architectures across the full enterprise stack, spanning identity, data, security, governance, platform layer, and workflow integration - Build reusable patterns, playbooks, and accelerators that the client owns after you leave, and codify delivery learnings that scale across engagements What We Are Looking For - Hands-on engineering experience with cloud-native systems (APIs, microservices, containerization, serverless) - Demonstrated expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) - Demonstrated end-to-end delivery ownership in a client-embedded environment, with experience building relationships with senior stakeholders We are hiring across Europe at multiple levels. If you are passionate about AI Engineering and owning the outcomes that make enterprise AI actually work, we would love to hear from you.