AI & Data Solution Architect

About Carrier

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 safe transport of food lifesaving 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 or follow on Carrier social media at @Carrier.

About the Role

Carrier is seeking a highly skilled and forwardthinking AI & Data Solution Architect to lead the design architecture and delivery of enterprisescale Data Analytics and AI solutions across the organization. This role will play a critical part in defining enterprise data and AI architecture standards shaping cloudfirst platforms and enabling scalable secure and costefficient adoption of analytics machine learning and generative AI.

The ideal candidate brings deep expertise across GCP AWS and Snowflake strong experience with modern data platforms and lakehouse architectures and proven leadership in AI/ML Generative AI and MLOps/LLMOps initiatives in production environments.

Key Responsibilities

Strategic & Architectural Leadership

• Define and evolve Carriers AI & Data architecture strategy and roadmap aligned with business priorities and IT strategy.
• Serve as a thought leader for modern data analytics and AI architectures including Generative AI and Agentic AI.
• Identify evaluate and recommend emerging technologies platforms and architectural patterns.
• Partner with business and digital leaders to identify and prioritize highimpact AI and analytics use cases.
• Provide architectural guidance on ethical responsible and compliant AI adoption.

Solution Architecture & Platform Design

• Lead endtoend architecture design for complex data analytics and AI initiatives ensuring scalability performance security and cost efficiency.

Design and govern cloudbased data platforms leveraging:

• Google Cloud Platform (BigQuery Vertex AI Dataflow Dataproc Looker)
• AWS (S3 Glue EMR Redshift SageMaker Lambda)
• Snowflake (data warehouse data sharing performance optimization)

Architect modern enterprise data architectures including:

• Data Lake Lakehouse Data Mesh and Data Fabric
• Open table/file formats such as Parquet Iceberg Delta Lake
• Medallion architectures (Bronze/Silver/Gold)
• Define data ingestion and integration patterns across structured and semistructured sources (SAP Oracle Salesforce JDE Ariba IoT APIs NoSQL).
• Define and enforce data quality metadata lineage and access control standards.

AI ML and Generative AI Architecture

• Design and implement AI/ML and GenAI solution architectures from experimentation through production.
• Architect solutions for core ML use cases such as demand forecasting predictive maintenance supply chain optimization and customer analytics.

Lead architecture for Generative AI and Agentic AI including:

• LLM integration with tools APIs and knowledge bases (RAG patterns)
• Autonomous and semiautonomous agent workflows
• Finetuning prompt engineering and optimization strategies
• Establish MLOps and LLMOps frameworks for model training deployment monitoring evaluation and lifecycle management.
• Define approaches for model observability explainability (XAI) bias detection and risk mitigation.

Technical Leadership & Collaboration

• Provide technical leadership and mentorship to solution architects data engineers data scientists and AI engineers.
• Collaborate closely with platform DevOps and cloud engineering teams to enable automationdriven deployments.
• Review solution designs conduct architecture assessments and provide impact analysis and recommendations.
• Communicate complex technical concepts clearly to both technical and executive audiences.

Required Qualifications

• Bachelors Degree in engineering or technical discipline
• 14 years handson experience in data architecture analytics solutions and/or cloud data platforms.
• 3 years of handson experience delivering AI/ML and Generative AI solutions in production.
• 6 years of experience designing and scaling enterprise data platforms on GCP AWS and Snowflake.

Preferred Qualifications

• Masters degree or Ph.D. preferred.
• Demonstrated success leading largescale crossfunctional data and AI initiatives.
• Cloud platforms: GCP and AWS (multicloud experience strongly preferred)
• Data platforms: Snowflake BigQuery Data Lakes Lakehouse architectures
• Programming & analytics: Python SQL PySpark
• AI/ML frameworks (TensorFlow PyTorch scikitlearn XGBoost)
• GenAI/LLM frameworks vector databases graph databases
• Data engineering tools (Spark Kafka Hadoop)
• Containerization and orchestration (Docker Kubernetes)
• CI/CD and DevOps practices
• Strong understanding of data modeling performance tuning and cost optimization.
• Strong architectural thinking and problemsolving skills.
• Excellent communication and stakeholder management capabilities.
• Ability to influence without authority and operate effectively in matrixed organizations.
• Selfdriven organized and able to manage multiple priorities.

Preferred Certifications

• AWS Certified Solutions Architect
• Google Cloud Professional Cloud Architect
• Snowflake or Data Engineering certifications

Pay Range

Other Compensation

Benefits

Employees are eligible for benefits including:

• Health Care Benefits: Medical Dental Vision; Wellness incentives

• Retirement Benefits

• Time off and Leave: 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

• Disability: Short-term and long-term disability

• Life Insurance and Accidental Death and Dismemberment

• Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account

• Tuition Assistance

To learn more about our benefits offering please click here Work with us Carrier Corporate. The specific benefits available to any employee may vary depending on state and local laws and eligibility factors such as date of hire and the applicability of collective bargaining agreements.

Carrier EEO Statement and Accommodations Process

Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified individuals with a Disability and Protected Veterans in compliance with section 503 of Rehabilitation Act and the Vietnam Era Veterans Readjustment Assistance Act.

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 . We will make every effort to meet your needs in accordance with applicable laws.

Application Deadline

Job Applicants Privacy Notice

Please click on the link to review the Job Applicant Privacy Notice.