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AI & Data Solution Architect

United States, Atlanta Employment contract 96000.00 - 192000.00 USD / Year · Job Posted May 26, 2026
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Job Description

Carrier is seeking a highly skilled and forward‑thinking AI & Data Solution Architect to lead the design, architecture, and delivery of enterprise‑scale Data, Analytics, and AI solutions across the organization. This role will play a critical part in defining enterprise data and AI architecture standards, shaping cloud‑first platforms, and enabling scalable, secure, and cost‑efficient adoption of analytics, machine learning, and generative AI.

Job Responsibility

  • Define and evolve Carrier’s 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 high‑impact AI and analytics use cases
  • Provide architectural guidance on ethical, responsible, and compliant AI adoption
  • Lead end‑to‑end architecture design for complex data, analytics, and AI initiatives, ensuring scalability, performance, security, and cost efficiency
  • Design and govern cloud‑based 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 semi‑structured sources (SAP, Oracle, Salesforce, JDE, Ariba, IoT, APIs, NoSQL)
  • Define and enforce data quality, metadata, lineage, and access control standards
  • 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 semi‑autonomous agent workflows, Fine‑tuning, 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
  • 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 automation‑driven deployments
  • Review solution designs, conduct architecture assessments, and provide impact analysis and recommendations
  • Communicate complex technical concepts clearly to both technical and executive audiences

Requirements

  • Bachelor’s Degree in engineering or technical discipline
  • 8+ years hands‑on experience in data architecture, analytics solutions, and/or cloud data platforms
  • 3+ years of hands‑on 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
  • Must have unrestricted authorization to work in the USA. No visa sponsoring available.

Nice to have

  • Master’s degree or Ph.D. preferred
  • Demonstrated success leading large‑scale, cross‑functional data and AI initiatives
  • Cloud platforms: GCP and AWS (multi‑cloud experience strongly preferred)
  • Data platforms: Snowflake, BigQuery, Data Lakes, Lakehouse architectures
  • Programming & analytics: Python, SQL, PySpark
  • AI/ML frameworks (TensorFlow, PyTorch, scikit‑learn, 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 problem‑solving skills
  • Excellent communication and stakeholder management capabilities
  • Ability to influence without authority and operate effectively in matrixed organizations
  • Self‑driven, organized, and able to manage multiple priorities
  • AWS Certified Solutions Architect
  • Google Cloud Professional Cloud Architect
  • Snowflake or Data Engineering certifications

What we offer

  • Health Care Benefits: Medical, Dental, Vision
  • Wellness incentives
  • Retirement Benefits
  • 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
  • Short-term and long-term disability
  • Life Insurance and Accidental Death and Dismemberment
  • Health Savings Account
  • Health Care Spending Account
  • Dependent Care Spending Account
  • Tuition Assistance

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