Indicium AI - Forward Deployed Software Engineer
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Requirements
• 5+ years as a software engineer with strong production experience - you have built and shipped real systems, not just advised on them • Deep passion for how AI is transforming software engineering - you are already using Claude Code, Copilot, or agentic development tools daily and have a clear view on where this is heading • Experience in a client-facing technical role - forward deployed engineering, technical consulting, solutions architecture, or engineering leadership with external stakeholders • Strong proficiency in modern software engineering stacks - Python, TypeScript, or Java - with comfort across cloud platforms (AWS, Azure, GCP) • Experience driving engineering process change or transformation within organisations - you have helped teams adopt new tools, practices, or ways of working at scale • Genuine enterprise experience - you have navigated the realities of large engineering organisations: legacy systems, compliance requirements, multi-team coordination, and stakeholder management • High agency - you do not wait to be told what to do in an ambiguous situation, you make a call, communicate it, and deliver • Vertical depth in at least one of Financial Services, Energy, or Healthcare - enough to be a credible peer, not just a technology generalist • Experience with MCP server development, Claude Code enterprise deployment, or AI agent integration into development workflows • Track record of defining engineering best practice or developer experience within a scaling organisation • External presence - writing, speaking, or community contribution in the software engineering or AI tooling space • Experience working alongside or within partner ecosystems such as Anthropic, Databricks, or AWS
Responsibilities
• Lead engagements that transform how enterprise engineering organisations build software - from discovery and assessment through to embedded co-engineering and operational handover • Design and implement AI native development workflows: Claude Code integration, agentic coding assistants, AI-augmented testing, automated code review, and intelligent CI/CD pipelines • Define and roll out operating models for AI native engineering across client organisations - covering tooling, process, team structure, and best practice at scale • Co-engineer with client product engineering teams, working shoulder to shoulder to integrate new ways of working into their existing codebases and delivery cadence • Own the client technical relationship at senior engineering leadership level - you are the person the VP Engineering or CTO calls, not one of the people copied on the email • Navigate organisational complexity - procurement, security, resistant teams, shifting priorities - without losing delivery momentum • Identify and shape new opportunities within existing client relationships - commercial awareness is part of the role, not separate from it • Codify repeatable patterns and playbooks for AI native engineering transformation that let the practice scale beyond individual engagements • Mentor engineers on your engagements and raise the bar for the practice through knowledge sharing • Work alongside Anthropic field teams on joint client engagements - representing Indicium AI at the highest level
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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