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AI Lead

Xpertiz IncIndianapolis, IN🇺🇸United States

Why this role stands out

Lead a groundbreaking enterprise AI transformation and shape the future of business processes with cutting-edge Agentic AI and intelligent automation. If you have extensive experience in AI solutions, program delivery, and client leadership, this is your opportunity to drive innovation and mentor high-performing teams in a strategic, on-site role. Apply now to make a significant impact and advance your career in AI.

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationIndianapolis, IN, United States
AWSMLOpsAzureGenerative AIGoogle CloudPython

Job description

Location: Indianapolis, IN – Onsite
Job Type: Full-Time
Visa Type : USC
Experience: 8–14 Years

Job Overview

We are seeking an experienced AI Lead to lead a strategic enterprise AI transformation program. The ideal candidate will combine AI/GenAI expertise, solution architecture, business process transformation, program delivery, and client leadership.

Key Responsibilities

  • Partner with business and technology stakeholders to identify and reimagine processes using Agentic AI and intelligent automation.
  • Translate business requirements into AI agent architectures, workflows, integrations, and technical solutions.
  • Lead end-to-end delivery of AI agents and workflows from design through production.
  • Manage cross-functional teams including AI/ML engineers, platform engineers, data engineers, QA, and support.
  • Own delivery planning, estimation, staffing, timelines, governance, and program quality.
  • Drive agent performance, reliability, observability, and AI governance in production.
  • Serve as a primary client-facing leader for business and technology stakeholders.
  • Lead executive discussions, workshops, governance meetings, and roadmap planning.
  • Identify new opportunities for GenAI, Agentic AI, and intelligent automation.
  • Mentor and scale AI engineering and delivery teams.

Required Qualifications

  • 8–14 years of experience in technology delivery, consulting, solution architecture, or digital transformation.
  • Strong experience with Generative AI, Agentic AI, LLMs, RAG, or intelligent automation.
  • Strong understanding of AI agent architecture, workflows, integrations, and technical trade-offs.
  • Experience leading complex enterprise programs and distributed teams.
  • Strong business stakeholder and executive communication skills.
  • Experience in Healthcare, Insurance, Pharma, Financial Services, or other regulated industries is preferred.
  • Knowledge of LangChain, LangGraph, LlamaIndex, OpenAI, Azure OpenAI, AWS/Google Cloud Platform, Python, MLOps/LLMOps, and AI governance is a plus.

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