Indicium AI - Director Forward Deployed AI Engineering EMEA

London6mo ago

In Office Director EMEA Fintech Cloud Computing CTO Technical Architect Python Procurement AWS

Requirements

• 8+ years in technical roles with at least 3 years leading engineering or delivery teams - in forward deployed engineering, technical consulting, applied AI, or solutions architecture • Production experience building AI applications including agentic systems, multi-agent orchestration, advanced RAG, evaluation frameworks, and deployment at scale in regulated enterprise environments • A track record of building teams from early stage - hiring, developing, and retaining strong engineers, not just inheriting an existing organisation • Experience working directly with enterprise clients on technical implementations, including comfort navigating complex organisational dynamics, procurement, compliance, and resistant stakeholders • Executive presence - you can hold your own in a C-suite conversation and translate technical complexity into clear narratives for diverse audiences • Strong Python proficiency and genuine comfort with production code - you are a builder at heart • Vertical depth in at least one of Financial Services, Energy, or Healthcare • High agency and comfort with ambiguity - you have built something from zero before and know what it takes • Former technical founder or CTO - you have built products and teams under commercial pressure and client scrutiny • Experience with MCP server development, tool ecosystem integration, and enterprise agent deployment patterns • Experience working alongside or within partner ecosystems such as Anthropic, or AWS at a senior level • External presence - writing, speaking, or thought leadership in the AI Engineering space • Experience in a Palantir, Anthropic, DeepMind, or similar forward-deployed engineering model

Responsibilities

• Lead, hire, and develop a high-performing team of Forward Deployed AI Engineers - setting a high bar for technical talent, client instincts, and delivery quality • Own the technical and operational bar for AI engineering engagements - reviewing SOWs, shaping architecture on complex deployments, and ensuring your team ships production-grade systems • Build the playbooks and repeatable patterns that turn one-off successes into a scalable , long term customer engagements • Manage hands-on technical delivery in enterprise - you are comfortable moving fluidly between strategic conversations with C-suite stakeholders and debugging sessions with your engineers • Develop vertical fluency across the team in Financial Services, Energy, and Healthcare - ensuring credibility with domain-expert clients • Partner with Sales to shape pipeline, scope engagements, and identify expansion opportunities within existing accounts • Work alongside Anthropic field teams on joint engagements - representing Indicium AI at the highest level and influencing partner product direction through field insights • Provide technical mentorship, conduct regular 1:1s, and invest in the career growth of each team member • Drive knowledge sharing and raise the bar for the practice through codified patterns, internal training, and a culture of engineering excellence

Benefits

• Access to leading AI Labs: Anthropic’s first European launch partner. One of the first four OpenAI UK partners. Databricks Ventures invested and on our board. Our engineers work with capabilities before the wider market does and work jointly with teams from leading AI Labs on customer delivery. • Access to leading AI Labs: • We are builders: We embed, we architect, we build - and we stay until it works. Our engineers make real decisions on live systems, for clients in industries where getting it wrong has consequences. There are no layers between you and the work. • We are builders: • Problems worth solving: No two engagements are the same. The variety and complexity of enterprise AI problems at Indicium AI is something a product company simply cannot offer. If you want engagements that test every dimension of what you can do, this is where they are. • Problems worth solving: • Investment in staying at the frontier: The best engineers we know are relentlessly curious - and we build an environment that supports learning and growth. Every engineer has access to leading AI training and tools, career development pathways, and a flexible L&D budget. We think that’s how it should be. • Investment in staying at the frontier: