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AI Build Lead

  • Source: LinkedIn
  • Future Secure AI
  • Hybrid
  • New York City
  • Full-Time
  • Senior

Job Description

About the Company

At Future Secure AI, we’re building something genuinely new — and we’re looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren’t just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you’ll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you’re ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.

About the Role

We are hiring an exceptional AI Build Lead t o serve as the voice of the customer and own end-to-end delivery of complex AI projects from scoping through post-delivery, ensuring high-impact results are delivered on time and on spec. Working closely with engineers, data scientists, and quality specialists, this role is for someone who thrives in a cross-functional team delivery environment. You will be accountable for the use case delivery vision, bring clarity to teams on project ROI, and drive customer alignment across a rapidly growing AI delivery organization.

This role is ideal for an AI product expert who combines deep product management, technical fluency, project excellence, and agile execution depth. You will partner closely with our Engagement Leads and team leadership to build high-quality use cases and ensure our customers are confident in and delighted by our results.

Responsibilities

  • Act as the single point of accountability for project delivery, owning the specifications, design, and delivery outcomes across the full lifecycle
  • Map end-to-end customer journeys, define and scope Use Cases, manage scope change, and drive customer alignment throughout
  • Own the as-is process documentation during initial discovery and lead scoping workshops, translating customer needs into a well-defined AI solution design
  • Act as an early warning system for delivery risks, surfacing major scope deviations and material budget impacts
  • Conduct detailed analysis of data, processes, and workflows to support decision-making and risk management
  • Partner closely with Engineering on project design, non-functional requirements, API discovery, feasibility, and AI product readiness
  • Lead all agile ceremonies and sprint activities, including writing and validating user stories, tracking scope, and removing blockers that slow the team down
  • Plan and facilitate lo-fi demos at each milestone and manage customer expectations to keep stakeholders informed and aligned
  • Coordinate UAT end-to-end: facilitate the UAT kick-off, schedule review sessions, triage feedback, and own the Go/No Go decision with the customer
  • Work across a portfolio of complex and often ambiguous use cases in varying industries, contributing to new emerging AI projects
  • Serve as the primary customer-facing lead during the build, running weekly status cadences
  • Partner closely with Engagement Leads to translate customer requirements into a use case execution project plan and roadmap
  • Support Engagement Leads by providing use case level context and completion status
  • Join customer meetings to validate requirements and address concerns constructively, ensuring transparency in communication

Minimum Qualifications

  • 8+ years of experience as a Business Analyst, Technical Consultant, Product Owner, Product Manager, or in a delivery-focused role in a technology or AI environment
  • Working understanding of APIs and data schemas, with the ability to engage credibly with technical counterparts and assess downstream implications for the build
  • Ability to understand and represent data models to enable mock data creation
  • Deep knowledge of agile delivery practices with a strong track record of running sprint ceremonies and managing backlogs end-to-end
  • Proven ability to serve as the primary customer liaison on complex projects, building trust, managing expectations, and maintaining clear communication throughout delivery
  • Extensive experience facilitating requirement and scoping workshops with multiple stakeholders, including d…

Skills

  • early-warning
  • JIRA
  • confluence

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This listing is a publicly available opportunity curated by Try Club to help talent discover relevant roles. Try Club is an independent platform and is not affiliated with Future Secure AI

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