AI Delivery Lead: Customer-Focused End-to-End AI Builds

Future Secure AI Inc.

New York (NY)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Flexible work environment

Job summary

Future Secure AI seeks an AI Build Lead to own end-to-end delivery of complex AI projects, acting as the voice of the customer. You will work with engineers, data scientists, and QA to ensure high-impact results on time and to spec.

You’ll clarify ROI, align stakeholders, and drive use-case execution in a rapidly growing AI delivery org. This role blends product management, technical fluency, and agile discipline, partnering with Engagement Leads to deliver high-quality use cases with confidence

Qualifications

  • 8+ years in BA/consulting/PM or delivery-focused AI tech roles.
  • Ability to discuss APIs and data schemas with technical teams.
  • Experience turning customer needs into actionable AI solutions.
  • Strong track record in agile delivery and sprint ceremonies.
  • Proven customer liaison across complex projects.

Responsibilities

  • Act as single point of accountability for end-to-end AI project delivery.
  • Map customer journeys, define Use Cases, manage scope changes.
  • Lead discovery, scoping workshops, and translate needs into design.
  • Identify delivery risks and budget impacts early.
  • Analyze data/workflows for decision-making and risk.
  • Collaborate with Engineering on design, non-functional requirements, APIs.
  • Lead agile ceremonies, write/validate user stories, remove blockers.
  • Plan lo-fi demos, manage customer expectations and milestones.
  • Coordinate UAT end-to-end and Go/No-Go decisions.

Skills

AI Delivery
Stakeholder Liaison
Agile
Jira/Confluence
APIs

Tools

Jira
Confluence

Job description

Future Secure AI seeks an AI Build Lead to own end-to-end delivery of complex AI projects, acting as the voice of the customer. You will work with engineers, data scientists, and QA to ensure high-impact results on time and to spec.

You’ll clarify ROI, align stakeholders, and drive use-case execution in a rapidly growing AI delivery org. This role blends product management, technical fluency, and agile discipline, partnering with Engagement Leads to deliver high-quality use cases with confidence

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