Vice President of Agentic AI

Indicium AI

$220K — $350K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in technical roles with at least 3 years leading engineering or delivery teams
  • Production experience in building AI applications and deployment at scale
  • Track record of building and retaining strong engineering teams
  • Experience with enterprise clients and navigating complex dynamics
  • Executive presence for translating technical complexity for diverse audiences
  • Strong proficiency in Python and comfort with production code
  • Vertical depth in Financial Services, Energy, or Healthcare

Responsibilities

  • Lead, hire, and develop a high-performing team of Forward Deployed AI Engineers
  • Own technical and operational quality of AI engineering engagements
  • Build playbooks for scalable customer engagement success
  • Manage strategic conversations with C-suite and technical debugging sessions
  • Develop vertical fluency in key industries for client credibility
  • Partner with Sales to shape pipeline and identify engagement opportunities
  • Work alongside Anthropic field teams on joint engagements
  • Provide technical mentorship and drive knowledge sharing within the practice

Benefits

  • High-impact leadership role with the opportunity to shape market presence
  • Engagement with senior-level clients across diverse industries
  • Collaborative environment with global teams and key partners
  • Focus on professional growth and mentorship for team members
  • Culture of engineering excellence with established best practices
Full Job Description
VP of Agentic AI (U.S. Forward Deployed Engineering Lead)

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 such as Anthropic or AWS at a senior level.
  • Alumnus of an elite FDE or applied AI environment (e.g., Palantir, Anthropic, DeepMind).

The anticipated base salary range for this role is $220,000 - $350,000. In addition to base pay, this position may be eligible for an annual discretionary bonus. An individual's final salary offer will be determined based on a variety of factors, including geographic location, experience, specialized skills, and qualifications. This compensation range is subject to updates or modifications at the company's discretion

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