AI Analytics Engineer
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Job Summary
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 weve 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 Carriers 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 quicklywhile 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
Bachelors 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 isThe 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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About Company
As the leading global provider of healthy, safe and sustainable building and cold chain solutions, Carrier Global Corporation is committed to making the world safer, sustainable and more comfortable for generations to come. From the beginning, we've led in inventing new technologies a ... View more
