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VP of Agentic AI (U.S. Forward Deployed Engineering Lead) About Indicium AI Indicium AI was Anthropic’s first European launch partner and sits among a handful of organizations globally trusted to deploy Claude at enterprise scale. We are also one of the first four OpenAI partners in the UK, and Databricks Ventures has invested in our business and holds a seat on our board. Our engineers have access to the latest AI tools and models, partner technical teams, and early capability previews that the wider market does not. We deploy production AI systems into the world's most complex organizations across Financial Services, Energy, and Healthcare to make AI a genuine competitive advantage. The Opportunity Following our deep success in Europe, Indicium AI is expanding its footprint to the U.S. We are looking for an experienced technical leader to establish and lead our Forward Deployed Engineering (FDE) practice in New York, reporting directly to our global CTO. This role focuses entirely on Agentic AI and Business Process Optimization . You will lead our most strategic U.S. client engagements—with a heavy initial focus on New York Financial Services—while scaling the local team with an initial hire of 1–2 FDEs. This is a player-coach role: your primary impact will come from the standards you set and the team you build, but you remain close enough to the technology to review architectures, unblock production issues, and pair with your team when it matters. You are a builder at heart, polished enough to lead a business transformation meeting with a C-suite executive, but technically deep enough to ensure production-grade systems cross the finish line. What You Will Do Establish the U.S. Team: Lead, hire, and onboard the first 1-2 Forward Deployed Engineers in the U.S., setting a high bar for technical talent, client instincts, and delivery quality. Lead Client Deliverments: Own enterprise engagements end-to-end. Architect, deploy, and scale production-grade agentic AI systems that solve complex business workflow problems. Bridge Business & Tech: Move fluidly between high-level business strategy with C-suite stakeholders and deeply technical architecture discussions with enterprise engineering teams. Partner with GTM & Ecosystems: Partner with Sales to scope new engagements and collaborate hand-in-hand with field teams from close partners like Anthropic and AWS on joint enterprise accounts. Codify the Playbook: Turn customer successes into scalable, repeatable delivery blueprints and enterprise agent deployment patterns for the U.S. practice. What We Are Looking For 8+ years in technical roles with 3+ years of experience leading client-facing engineering or delivery teams (e.g., forward-deployed engineering, technical consulting, applied AI, or solutions architecture). Deep Agentic AI Domain Expertise: Production experience building AI applications, specifically utilizing agentic workflows, multi-agent orchestration, advanced RAG, and evaluation frameworks. Proven "Consulting DNA": Exceptional client presence and a track record of successfully navigating enterprise corporate dynamics, compliance, and senior business stakeholders. Technically Current: Strong Python proficiency and a genuine willingness to be a player-coach who can review code or jump on a keyboard when a tight deadline demands it. Team-Building Track Record: Experience hiring, developing, and retaining strong engineers to grow an engineering function or practice. Industry Focus: Direct experience delivering technical solutions or process optimization within Financial Services, Insurance, or Energy. Nice to Have Former technical founder or early-stage startup CTO. Experience with Model Context Protocol (MCP) server development and tool ecosystem integration. Experience working alongside or within partner ecosystems su