SummaryCarrier is seeking AI Technical Leader, a principal engineer role with technical leadership in artificial intelligence, machine learning and data analytics combined with engineering domain expertise, to develop & deploy AI solutions for business units and center of excellence teams.
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, deployment and governance of AI solutions for business units and center of excellence teams
- Lead the AI technical solution design for applications including aftermarket, AI integrated products and AI powered engineering processes
- Define and execute the AI strategy, roadmap, standards, and best practices across Carrier Engineering.
- Collaborate with software, systems, electrical, mechanical, and business unit 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/field-trials, and production deployments while ensuring measurable business impact and operational excellence.
- Guide, mentor engineers and provide technical leadership in AI solution development, model evaluation, and deployment.
- Evaluate emerging AI technologies and drive adoption of innovative solutions across the engineering organization.
Required Qualifications- Master's degree with 10+ years of industrial experience in Artificial Intelligence, Machine Learning, Data Analytics, Software Engineering or technical domains, -or- Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Data Science with 8+ years of industrial experience in Artificial Intelligence, Machine Learning, Data Analytics, Software Engineering or technical domains.
- 5+ years of AI technical leadership work experience and engineering domain knowledge.
- Willing and able to travel up to 10% annually, including both domestic and international trips.
Preferred Qualifications- Strong experience leading teams working on AI, Machine Learning, Data Analytics, or Agentic AI technologies.
- Strong background in Artificial Intelligence, Machine Learning, Data Analytics, Data Engineering and software engineering.
- Hands-on experience in delivering aftermarket fault detection and diagnostics, time-series forecasting and predictive insights/solutions
- 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 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 RangeThe annual salary for this position is between $117,500.00 - $234,500.00 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 CompensationThis position is entitled to short-term cash incentives, subject to plan requirements.
BenefitsEmployees 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 CorporateThe 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.
Application DeadlineApplications will be accepted for at least 3 days from Job Posting Date: 12 October 2026
Job Applicant's Privacy NoticePlease click on the link to review the Job Applicant Privacy Notice.
Use of AITechnology-enabled tools may support parts of the recruitment process, with oversight by people.
