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NVTI | Forward Depoyed Engineer Lead - Zora AI

Job in New York, New York County, New York, 10261, USA
Listing for: PowerToFly
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer, IT Project Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

L65 - Firm Enterprise Solutions Associate Director, Strategy, Growth, and Transformation

Zora AI is Deloitte's AI agent platform delivering role-/function-specific agents that integrate with enterprise systems and workflows. As the Lead, Forward Deployed Engineering (FDE), you will define and run the global FDE organization-setting the charter, operating model, standards, and capacity needed to deliver successful deployments  will lead multiple FDE teams across US, EMEA, and APAC, oversee critical client engagements, and partner with Product, Engineering, Cyber, and Risk to turn field learnings into repeatable delivery patterns and durable platform improvements.

Estimated Date of Closure June 4, 2026

Work you'll do
  • Define the FDE charter and operating model:
    Establish mission, engagement model, intake/prioritization, team structure, and ways of working across regions and time zones.
  • Lead multiple FDE teams globally:
    Recruit, coach, and performance-manage FDE managers/leads and individual contributors across US, EMEA, and APAC; build coverage models and on-call/escalation paths.
  • Own delivery excellence and repeatability:
    Create standardized implementation playbooks, reference architectures, quality gates, and reusable assets to reduce bespoke work and improve time‑to‑value.
  • Be accountable for successful deployments:
    Oversee multiple concurrent client implementations, ensuring scope clarity, environment readiness, risk controls, and predictable outcomes.
  • Participate in key client engagements:
    Serve as executive technical lead on priority accounts‑leading workshops, shaping solution approach, handling escalations, and building trusted client relationships.
  • Translate field signals into product improvement:
    Create closed-loop mechanisms to convert recurring deployment friction into structured requirements; influence roadmap, connector strategy, observability, and governance features.
  • Establish best practices for agent deployments:
    Standardize patterns for human‑in‑the‑loop approvals, exception handling, evaluation/monitoring, security/privacy, and auditability in enterprise contexts.
  • Partner across Deloitte and alliances:
    Coordinate with Sales, Delivery, Alliances, and Global teams to support pursuits, packaging, and scalable rollout across industries and geographies.
  • Run governance and metrics:
    Track delivery KPIs (time‑to‑value, success rates, incident trends), manage capacity planning, and drive continuous improvement via retrospectives and post‑implementation reviews.
  • Risk, security, and compliance leadership:
    Ensure implementations align to Deloitte/client security requirements, data handling standards, and AI governance expectations; lead resolution of high‑severity risks.
Key Skills
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or work streams
  • Ability to manage and prioritize multiple tasks in a fast‑paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others
Required Qualifications
  • 10+ years in software engineering, solutions/forward deployed engineering, platform delivery, or technical program leadership in enterprise environments; including leadership of multi‑team organizations.
  • Prior experience leading complex customer deployments involving cloud infrastructure, identity/SSO, data access, and integration with enterprise systems.
  • Prior experience with GenAI/LLM application delivery (agent workflows, tool orchestration, retrieval‑augmented generation), including operational risks and controls.
  • Prior experience establishing standards and operating rhythm (playbooks, quality gates, escalation models, delivery KPIs) across distributed teams.
  • Prior experience with executive‑level stakeholder management and able to communicate with client IT/security leaders and business owners; adept at navigating ambiguity and driving decisions.
  • Prior experience working across US and global clients, including delivery…
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