AI / Analytics Engineer

Description

Summary: Join Carrier's Global Data, Analytics & AI organization to design, develop, and deploy scalable analytics, AI/ML, GenAI, and Agentic AI solutions for business-critical problems. Highlights: 1. Develop scalable, business-critical AI/ML, GenAI, and Agentic AI solutions. 2. Work with cutting-edge AI technologies to drive measurable business value. 3. Contribute to best practices for MLOps/LLMOps and ethical AI. **Build a career with confidence** Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world\-class, diverse workforce that puts the customer at the center of everything we do. **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**. **Key Responsibilities** ------------------------ * 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. ### **Business Understanding \& Problem Solving** * 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. ### **Platform, Scale \& Operations** * 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. ### **Innovation \& Continuous Improvement** * 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. **Required Qualifications** --------------------------- * 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. **Preferred Qualifications** ---------------------------- * 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. **Benefits** We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary. **Our commitment to you** Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best\-in\-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is *The Carrier Way*. Join us and make a difference. **Apply Now!** **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.** **Job Applicant's Privacy Notice:** Click on this link to read the Job Applicant's Privacy Notice