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Agentic AI Engineer Lead


Job Location:

Indianapolis, IN - USA

Yearly Salary: USD 96000 - 192000
Posted: 29 September 2026 (Yesterday)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

About Carrier

Carrier Global Corporation global leader in intelligent climate and energy solutions is committed to creating innovations that bring comfort safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control air quality and transportation we improve lives empower critical industries and ensure safe transport of food lifesaving medicines and more. Since inventing modern air conditioning in 1902 we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class inclusive workforce that puts the customer at the center of everything we do. For more information visit or follow on Carrier social media at @Carrier.

Summary

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

Role 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.

Required Qualifications

  • Masters 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.

Preferred Qualifications

  • 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.

Pay Range

The annual salary for this position is between $96000.00 - $192000.00 annually. Factors which may affect pay within this range include but are not limited to skills education experience and other unique qualifications of the successful candidate. The pay range will not be below the minimum wage applicable to the jurisdiction in which the applicant is to be employed.

Other Compensation

Thisposition is entitled to short-term cash incentives subject to plan requirements.

Benefits

Employees are eligible for benefits including:

  • 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

To learn more about our benefits offering please click here Work with us Carrier Corporate. The specific benefits available to any employee may vary depending on state and local laws and eligibility factors such as date of hire and the applicability of collective bargaining agreements.

Carrier EEO Statement and Accommodations Process

Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified individuals with a Disability and Protected Veterans in compliance with section 503 of Rehabilitation Act and the Vietnam Era Veterans Readjustment Assistance Act.

If you require a reasonable accommodation to complete the application process participate in an interview or otherwise engage in the hiring process please contact us at . We will make every effort to meet your needs in accordance with applicable laws.

Application Deadline

Applications will be accepted for at least 3 days fromJobPosting Date: 22 September 2026

Job Applicants Privacy Notice

Please click on the link to review the Job Applicant Privacy Notice.

Use of AI

Technology-enabled tools may support parts of the recruitment process with oversight by people.


Required Experience:

Unclear Seniority


About Company

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As the leading global provider of healthy, safe and sustainable building and cold chain solutions, Carrier Global Corporation is committed to making the world safer, sustainable and more comfortable for generations to come. From the beginning, we've led in inventing new technologies a ... View more

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