Indicium AI - Director Forward Deployed Software Engineering US

New York1mo ago

In Office Director NA Fintech Cloud Computing CTO Software Engineer Procurement Claude AWS Databricks

Requirements

• 10+ years in software engineering with at least 4 years in senior engineering leadership - CTO, VP Engineering, Head of Engineering, or equivalent roles where you built and shaped teams • A true lifetime software engineer - you have written production code across your career, led architecture decisions on complex systems, and built engineering cultures that ship • Deep passion for how AI is transforming software engineering - you are already using AI native development tools and have a clear, informed view on where the discipline is heading • A track record of building engineering teams from early stage - hiring, developing, and retaining exceptional engineers, not just managing an inherited organisation • Experience driving engineering transformation - whether adopting new practices, retooling an SDLC, or scaling an engineering organisation through a step change in capability • Enterprise credibility - you have worked with or within large engineering organisations and understand the realities of legacy systems, compliance, procurement, and multi-team coordination • Executive presence - you can hold your own with a CTO or VP Engineering and translate technical strategy into clear narratives for diverse audiences • High agency and comfort with ambiguity - you have built something from zero before and know what it takes • Former CTO or VP Engineering at a scaling technology company • Experience in a client-facing engineering role - forward deployed engineering, technical consulting, or engineering advisory • Experience with Claude Code enterprise deployment, AI agent integration into development workflows, or MCP server development • External presence - writing, speaking, or community contribution in the software engineering or engineering leadership space • Experience working alongside or within partner ecosystems such as Anthropic, Databricks, or AWS at a senior level • Experience in a Palantir, Anthropic, DeepMind, or similar forward-deployed engineering model

Responsibilities

• Lead, hire, and develop a high-performing team of Forward Deployed Software Engineers - setting a high bar for engineering excellence, client instincts, and delivery quality • Define and evolve the Indicium AI approach to AI native engineering transformation - covering Claude Code adoption, agentic SDLC tooling, engineering operating models, team structures, and best practice at scale • Own the technical and operational bar for software engineering engagements - reviewing SOWs, shaping engagement architecture, and ensuring your team delivers lasting capability change in client organisations • Manage hands-on technical delivery in enterprise - you are comfortable moving fluidly between boardroom conversations with a CTO about engineering strategy and pairing with your team on a client codebase • Build the playbooks, reference implementations, and repeatable patterns that turn one-off transformation engagements into a scalable practice • Develop vertical fluency across the team in Financial Services, Energy, and Healthcare - understanding the specific engineering constraints and compliance requirements of each sector • 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 • Provide technical mentorship, conduct regular 1:1s, and invest in the career growth of each team member • Be the external voice of Indicium AI’s software engineering transformation practice - through client relationships, partner engagement, and thought leadership

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: