Carrier→
AI / Analytics Engineer at Carrier in Monterrey, Nuevo León, MX
Skills
Job Description
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.
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