$285,000–$285,000
Vice President of Agentic AI
Updated
$220,000–$350,000New York, NYVP
Establish and lead the U.S. Forward Deployed Engineering team, hiring and onboarding the first 1-2 FDEs.
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At a glance
Posted base pay
$220K–$350KAbove the median
Median $225K
This job$220K–$350KTypical staff+ FDE payMiddle 50% of 427 postings$194K–$260KThe work
Leads the deployment team
Balance
- Mostly building
- Mixed
- Mostly pre-sales or support
Project stages
- Pre-sales
- Proof of concept (not covered)
- Implementation
- Operations
- Coding
- Writes production code
- Builds for
- External customers
- Level
- Staff+
- Role
- People manager
What they ask for
Experience
Background
Tools
Less common in FDE jobs
- Individual contributor or manager: People manager4%
- Responsibility level: Staff+16%
- Company size: About 201–1,000 people18%
- Covers pre-sales24%
Share of US FDE postings that state each fact.
The job description from Indicium AI
Posted by Indicium AI on
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 such as Anthropic or AWS at a senior level.
- Alumnus of an elite FDE or applied AI environment (e.g., Palantir, Anthropic, DeepMind).
Why Indicium AI
- Work on AI projects that actually transform the world's largest enterprises
- Use cutting-edge AI tools and technologies every single day
- Collaborate with global teams on high-impact, real-world solutions
- Be backed by a supportive team that's genuinely in your corner
- Benefit from serious investment in your learning and career growth
- Earn competitive compensation and benefits
- Enjoy company events and gatherings that bring the global team together
- Join a fast-growing company where ambitious careers thrive
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
About Indicium AI
Global AI-native consultancy helping large enterprises turn data and AI strategy into governed, production systems and measurable business outcomes.
Private Late · 500–1000 people
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