Vice President of Agentic AI

About the role

The VP of Agentic AI (U.S. Forward Deployed Engineering Lead) is responsible for establishing and leading the Forward Deployed Engineering practice in New York, focusing on Agentic AI and Business Process Optimization. The role involves leading strategic U.S. client engagements, particularly in New York Financial Services, scaling the local team, and bridging business and tech strategies.

Responsibilities

• 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.

Requirements

• 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.
• Tech 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).

Benefits

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

Pay

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