Indicium AI - Principal Forward Deployed AI Engineers
Requirements
• A consultancy background is helpful; understanding the commercial model and how to navigate the landscape of a consultancy/client relationship • Depth in Financial Services, Energy or Healthcare, enough to be a credible peer rather than a technology generalist • You have contributed to shaping or estimating work commercially • 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
• Own the technical direction of complex AI engagements or multiple concurrent engagements, making the architecture calls and being accountable for how they hold up in production • Set the architectural patterns for agentic systems at scale, including state and memory design, failure modes and recovery. • 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 • Deliver workstreams through Lead and Senior FDEs, intervening early with reviews and course corrections rather than quietly taking the work back • Be accountable for delivery quality across your engagements: outcomes, timeline, and commercial health including scope, burn and margin • Manage senior stakeholders in our clients, act as trusted advisor to client technology leadership, helping to shape their roadmap beyond the current engagement • Influence wins through pre-sales, technical points of view, proposal shaping, and partner relationships • Develop our Senior and Lead FDEs towards the next step in their career, and shape coaching and L&D across the technology practice • Create IP, accelerators and reference architectures that improve speed and margin on engagements you are not personally on • Help develop the Indicium AI business through internal initiatives. • 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." Principal FDE is a wide role, and people arrive at it from different directions: deep technical authority, strong client leadership, or a track record of building things that outlast a single engagement. 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 the decisions made • 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, including when it was going badly • You have grown other engineers deliberately, through mentoring, coaching or review • You have navigated a the reality of working in a large organisation: 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:
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