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Indicium AI

End-to-end data and AI consulting

Vice President of Agentic AI - Forward Deployed Engineering Lead

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 8 years in technical roles and at least 3 years leading client-facing engineering or delivery teams, such as forward-deployed engineering, technical consulting, applied AI, or solutions architecture.
  • Production experience building AI applications using agentic workflows, multi-agent orchestration, advanced retrieval-augmented generation, and evaluation frameworks.
  • A track record navigating enterprise corporate dynamics, compliance, and senior business stakeholders.
  • Strong Python proficiency and the ability to review code or contribute hands-on when needed.
  • Experience hiring, developing, and retaining engineers to grow an engineering function or practice.
  • Direct experience delivering technical solutions or process optimization within Financial Services, Insurance, or Energy.

Responsibilities

  • Establish the U.S. Forward Deployed Engineering team by leading, hiring, and onboarding the first 1–2 engineers and setting expectations for technical talent, client instincts, and delivery quality.
  • Own enterprise client engagements end-to-end, architecting, deploying, and scaling production-grade agentic AI systems to solve complex business workflow problems.
  • Work with C-suite stakeholders on business strategy and with enterprise engineering teams on technical architecture.
  • Partner with Sales to scope engagements and collaborate with partner field teams, including Anthropic and AWS, on joint enterprise accounts.
  • Develop scalable delivery blueprints and enterprise agent-deployment patterns for the U.S. practice from customer successes.
  • Set technical standards, review architectures, resolve production issues, and work alongside the team when needed.

Desired Qualifications

  • Former technical founder or early-stage startup CTO.
  • Experience developing Model Context Protocol servers and integrating tool ecosystems.
  • Experience working alongside or within partner ecosystems such as Anthropic or AWS at a senior level.
  • Alumnus of an elite forward-deployed engineering or applied AI environment, such as Palantir, Anthropic, or DeepMind.

About the Company

Indicium AI

End-to-end data and AI consulting

Indicium AI provides end-to-end data and AI consultancy for mid-size and large enterprises, helping organizations organize data, design data strategies, build data platforms, and enable AI adoption. They work by applying the Modern Data Stack (AWS, Databricks, Google Cloud, Snowflake) to deliver data solutions, and they use IndiMesh, a proprietary AI-enabled framework with pre-built templates and governance processes, plus AI Data Squads that combine human experts with AI agents for complex migrations. They differentiate themselves through scalable, service-based delivery using a repeatable framework rather than a single product, focused on standardizing and accelerating large-scale data and AI programs, and by expanding their operations in the United States. Their goal is to help enterprises improve data-driven decision-making and scale AI adoption across industries and geographies.

Company size
201-500
Company stage
Late Stage VC
Total funding
$40M
Headquarters
Palhoça, Brazil
Founded
2017

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