Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Indianapolis, IN, United States
Posted
17 hours ago
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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