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 the safe transport of food, life-saving 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 corporate.carrier.com or follow Carrier on social media at @Carrier.
About the role
We are seeking an experienced AI / Analytics Engineer to join Carrier’s Global Data, Analytics & AI organization. This role is ideal for a hands-on engineer who combines a strong analytics foundation with modern AI/ML, GenAI, and Agentic AI engineering experience to develop scalable, business-critical solutions.
The AI / Analytics Engineer will work closely with business stakeholders, product managers, and platform teams to understand business problems, translate them into data- and AI-driven solutions, and deliver production-ready capabilities that create measurable business value. This role requires an entrepreneurial mindset, the ability to move quickly from idea to solution, and a strong focus on building solutions that scale across functions, regions, and use cases.
AI / Analytics Engineer will be responsible for:
Design, develop, and deploy analytics, AI/ML, GenAI, and Agentic AI solutions that address real business problems across functions such as Supply Chain, Manufacturing, Service, Marketing, and Commercial Operations.
Build and maintain analytics engineering pipelines (data ingestion, transformation, semantic layers, feature engineering) to support advanced analytics and AI use cases.
Develop and operationalize machine learning models (predictive, prescriptive, optimization) and GenAI solutions (e.g., RAG-based assistants, summarization, Q&A, copilots).
Design and implement Agentic AI workflows that orchestrate tools, data, and models to automate multi-step business processes with appropriate guardrails and human-in-the-loop controls.
Partner with business stakeholders and product teams to understand requirements, frame problems, and identify opportunities where analytics and AI can drive impact.
Translate ambiguous business needs into clear technical designs, data requirements, and solution architectures.
Apply strong analytical thinking to define success metrics, validate assumptions, and continuously improve solutions based on outcomes.
Collaborate with data platform, architecture, and security teams to ensure solutions align with enterprise standards, governance, and scalability requirements.
Optimize models and pipelines for performance, reliability, cost, and scalability.
Support production deployment and monitoring of analytics and AI solutions, including model performance, data quality, and system reliability.
Contribute to best practices for MLOps / LLMOps, including versioning, testing, evaluation, and monitoring.
Stay current with emerging trends in AI/ML, GenAI, Agentic AI, and analytics engineering, and proactively evaluate how new technologies can be applied at Carrier.
Experiment, prototype, and iterate quickly—while designing solutions that can be scaled and reused across the enterprise.
Promote responsible and ethical AI practices, including bias mitigation, transparency, and regulatory compliance.
We are looking for people with strong analytical thinking and data-driven decision-making skilles. If this is you, get in touch.
As a minimum you must have:
Bachelor’s degree in Computer Science, Data Science, Engineering, Business Analytics, or a related field.
3-5 years of relevant experience in analytics engineering, data engineering, AI/ML engineering, or advanced analytics roles.
Strong experience working with data analytics, data modeling, and large datasets in enterprise environments.
Hands-on experience developing and deploying AI/ML models and analytics solutions.
Proficiency in Python, SQL, and modern analytics or ML frameworks.
Experience collaborating with business stakeholders and cross-functional teams.
Although not necessary, it would be nice if you have:
Hands-on experience with GenAI (e.g., RAG architectures, prompt engineering, LLM integration, evaluation frameworks).
Exposure to or experience building Agentic AI solutions (tool-using agents, workflow orchestration, automation).
Experience with modern data and analytics platforms such as Snowflake, Databricks, and visualization tools like Power BI.
Familiarity with cloud platforms (AWS, Azure, or GCP).
Experience applying Agile / product-oriented delivery models.
Background in manufacturing, industrial, or HVAC domains is a plus.
We offer a competitive total rewards package that may include other benefits and well‑being programs. Offerings vary by role and location and are designed to support employees’ health, security, and success.
Equal Treatment and Non-Discrimination
Carrier is committed to equal treatment and non-discrimination principles.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability, or any other applicable protected class.
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 [email protected]. We will make every effort to meet your needs in accordance with applicable laws.
Applications will be accepted for at least 14 working days from 6/16/2026
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Use of AI
Technology-enabled tools may support parts of the recruitment process, with oversight by people.
Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
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