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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design and deployment of AI agents and workflows, with a strong focus on Artificial Intelligence, Machine Learning, and Generative AI technologies. Proven ability to mentor teams, establish governance practices, and drive the adoption of innovative AI solutions across engineering domains.
Highest-signal resume keywords
Artificial IntelligenceMachine LearningGenerative AIAgentic AIAWS/Azure Deployment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Agent DevelopmentWorkflow OrchestrationPrompt EngineeringModel Context Protocol (MCP)Retrieval-Augmented Generation (RAG)Large Language Models (LLMs)MLOpsCI/CD PipelinesData ScienceSoftware Engineering
Soft Skills
Technical LeadershipMentoringCollaboration
Tools & Technologies
Vector DatabasesEnterprise Knowledge RepositoriesSemantic SearchEngineering ToolsAPIs
Certifications & Qualifications
Master's DegreePh.D. in Relevant Fields
Industry Keywords
HVACRefrigeration ProductsSystems EngineeringDigital EngineeringProduct Development
Tech Stack
Tools & technologiesAWSAzure
About the role
Key responsibilities & impact- 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 LLMs, AI agents, 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
Requirements
What you’ll need- 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
- 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
- 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, monitoring, MLOps, LLMOps, and CI/CD pipelines
- 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
Benefits
Comp & perks- Short-term cash incentives, subject to plan requirements
- Medical, Dental, Vision
- Wellness incentives
- Retirement Benefits
- 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
- Short-term and long-term disability
- Life Insurance and Accidental Death and Dismemberment
- Health Savings Account
- Health Care Spending Account
- Dependent Care Spending Account
- Tuition Assistance