Indicium AI - Lead Forward Deployed AI Engineers
Requirements
• Depth in Financial Services, Energy or Healthcare, enough to be a credible peer rather than a technology generalist • MCP server development and enterprise tool ecosystem integration • Prompt and context engineering, guardrails, and LLM safety patterns in production • You have been a technical founder, and built something from nothing under commercial pressure • Writing, speaking, or community presence in AI engineering • Experience working alongside partner ecosystems such as Anthropic, Databricks, or AWS • What we are not asking for: a specific number of years, a consulting background, or hands-on time with every tool on this list. We care about what you have owned, and what happened as a result. • What we are not asking for:
Responsibilities
• Lead AI engineering engagements end to end, from solution design through to production deployment, in complex enterprise environments • Design and build production agentic AI systems: multi-agent orchestration, autonomous agent workflows, tool-use patterns, and the reliability layer that makes agents trustworthy in regulated environments • Build advanced RAG pipelines — retrieval architectures, embedding strategies, reranking, hybrid search, and the evaluation frameworks that prove they work at scale • Develop and deploy MCP servers and tool ecosystem integrations that give agents real-world capability within enterprise infrastructure • Design evaluation and observability frameworks for non-deterministic systems, ensuring production AI applications are measurable, debuggable, and continuously improving • Own the client technical relationship at senior stakeholder level • Navigate organisational complexity, such as procurement, compliance, resistant IT teams, shifting priorities, all without losing delivery momentum • Have commercial awareness by identifying and shaping new opportunities within an existing client • Codify repeatable deployment patterns and contribute insights that strengthen the wider business, such as reference architectures, agent patterns, and evaluation methodologies • Mentor AI Engineers on your engagements and raise the bar for the practice through knowledge sharing • Work alongside Anthropic field teams on joint client engagements and represent Indicium AI at the highest level • We'd Like To Speak To You If… • Read this as "some of these", not "all of these." Very few people arrive with the complete set. Most Leads are strong on the technical side and growing into the client and commercial side, or the other way round. If a good number of these sound like you, we encourage you to apply. • Read this as "some of these", not "all of these." • You have taken AI systems from ambiguous problem to production deployment, including agentic systems, retrieval architectures and evaluation frameworks, inside a real organisation with real constraints • You have owned the technical direction of a project or workstream, made the architecture calls, and been accountable for whether they held up • You are genuinely hands-on. You write production code, you do not only review it, and you would be comfortable pairing with one of our engineers tomorrow • You have led a delivery team: planning, sequencing, unblocking, and being straight with people about where things actually stand • You have been the technical face of a piece of work for a client, including when it was going badly • You have grown other engineers deliberately, through mentoring, coaching or review • You have contributed to shaping or estimating work commercially • You have navigated a large organisation's realities: security reviews, compliance, legacy systems, and multiple teams with different incentives
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:
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