Agentic AI Engineer Lead

CarrierIndianapolis, IN
$96,000 - $192,000Onsite

About The Position

Carrier is seeking an Agentic AI Engineer Lead for the development, deployment, and scaling of Agentic AI technologies across engineering. This is a full-time, onsite position operating on a standard Monday through Friday, day shift schedule. This role can be based in-person at either of the following primary Carrier facilities: Indianapolis, IN: 7310 West Morris Street, Indianapolis, IN 46231 Kennesaw, GA: 1025 Cobb Place Blvd., Kennesaw, GA 30144

Requirements

  • Master's degree with 7+ years of industrial experience in Artificial Intelligence, Machine Learning, Data Science, Software Engineering or technical domains, -or- Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Data Science with 5+ years of industrial experience in Artificial Intelligence, Machine Learning, Data Science, Software Engineering or technical domains.
  • 3+ years of Agentic AI industry experience.
  • Willing and able to travel up to 10% annually, including both domestic and international trips.
  • Willing and able to adjust working hours for early morning virtual meetings to support global teams and stakeholders.

Nice To Haves

  • 5+ years of experience leading teams working on AI, Machine Learning, Generative AI, or Agentic AI technologies.
  • Strong background in Artificial Intelligence, Machine Learning, Generative AI, and software engineering.
  • Hands-on experience designing, developing, and deploying AI agents and agentic workflows to automate and accelerate engineering processes across the product development lifecycle.
  • Strong knowledge of agent orchestration, prompt engineering, planning, reasoning, memory management, tool calling, and Model Context Protocol (MCP) integrations.
  • Experience developing AI assistants and knowledge-based AI solutions using enterprise knowledge repositories, vector databases, embeddings, semantic search, and Retrieval-Augmented Generation (RAG) technologies.
  • Experience deploying enterprise AI solutions on AWS and/or Azure and integrating them with engineering tools, repositories, APIs, knowledge sources, and enterprise platforms.
  • Knowledge of AI evaluation, governance, and monitoring best practices, including Machine Learning Operations (MLOps), Large Language Model Operations (LLMOps), and Continuous Integration/Continuous Deployment (CI/CD) pipelines for enterprise AI deployment.
  • Experience adapting, fine-tuning, and evaluating Large Language Models (LLMs) using enterprise and domain-specific data.
  • Experience in engineering product development, systems engineering, software engineering, electrical engineering, mechanical engineering, controls, simulation, or digital engineering.
  • Application experience in HVAC and refrigeration products.

Responsibilities

  • Lead the design, development, and deployment of AI agents and agentic workflows that accelerate engineering processes and productivity.
  • Define and execute the Agentic AI strategy, roadmap, standards, and best practices across Carrier Engineering.
  • Architect AI-powered solutions using Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and workflow orchestration frameworks.
  • Collaborate with software, systems, electrical, mechanical, and test engineering teams to identify and deliver high-value AI solutions.
  • Establish governance, security, evaluation, and responsible AI practices for enterprise AI deployments.
  • Lead proof-of-concepts, pilots, and production deployments while ensuring measurable business impact and operational excellence.
  • Mentor engineers and provide technical leadership in AI agent development, model evaluation, and deployment.
  • Evaluate emerging AI technologies and drive adoption of innovative solutions across the engineering organization.

Benefits

  • Health Care Benefits: Medical, Dental, Vision; Wellness incentives
  • Retirement Benefits
  • Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
  • Disability: Short-term and long-term disability
  • Life Insurance and Accidental Death and Dismemberment
  • Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
  • Tuition Assistance
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