Senior Data & AI Solution Architect

At GE Appliances, a Haier company, we come together to make “good things, for life.” As the fastest-growing appliance company in the U.S., we’re powered by creators, thinkers and makers who believe that anything is possible and that there’s always a better way. We believe in the power of our people and in giving them the freedom to explore, discover and build good things, together.

The GE Appliances philosophy, backed by three simple commitments defines the way we work, invent, create, do business, and serve our communities: we come together, we always look for a better way, and we create possibilities.

Interested in joining us on our journey?

We are seeking a Senior Data & AI Solution Architect to design and implement a modern data and AI platform that empowers the organization with scalable, intelligent, and secure capabilities. This role combines deep technical expertise with cross-functional collaboration to bring advanced data and AI-driven applications to life, with a strong focus on leveraging Google Cloud Platform (GCP), Agent space, and Model Context Protocol (MCP) as strategic enablers. Experience with IoT-connected data, GCP Data Lakes, Master Data Management (MDM), cloud/hybrid infrastructure, and supply chain operations will be critical to building a resilient and future-ready architecture. This role will directly support the Multi-Family and Logistics divisions, enabling smarter, data-driven supply chain solutions.

Position

Senior Data & AI Solution Architect

Location

IND, Bangalore, KAHyderabad (SAL) IN

How You'll Create Possibilities

Platform Architecture & Implementation

• Design and build secure, scalable hybrid data platforms on Google Cloud Platform, integrating structured, unstructured, IoT-connected, and streaming data sources.
• Architect and manage enterprise Data Lakes in GCP, ensuring high performance, scalability, and interoperability for supply chain datasets.
• Implement Master Data Management (MDM) frameworks to ensure consistent, high-quality data across supply chain, logistics, and operational systems.
• Define and optimize infrastructure architecture (compute, storage, networking) for scalable data and AI workloads across on-prem and cloud environments.
• Develop modular APIs and services to enable AI model integration, intelligent agents, and enterprise-grade analytics.
  
  
  

AI & Intelligent Frameworks

• Define architecture patterns that leverage Agent space and MCP to enable agentic workflows across supply chain and logistics processes.
• Support orchestration layers for retrieval-augmented generation (RAG), embeddings, and agent-based pipelines.
• Ensure seamless integration of open-source and commercial LLMs into the GCP platform using MCP for context-aware interoperability.
  
  
  

Governance, Security & Reliability

• Implement robust data governance, observability, lineage, and MDM-aligned practices tailored to supply chain data.
• Ensure security, privacy, and compliance through enterprise-grade access controls (RBAC/ABAC).
• Oversee infrastructure reliability, high availability, disaster recovery, and performance tuning across the platform.
• Establish standards for supply chain data stewardship, IoT sensor data management, and lifecycle governance.
  
  
  

Collaboration & Leadership

• Partner with Supply Chain, Final Mile, and Connected Data divisions to identify and prioritize platform capabilities that drive operational efficiency.
• Collaborate with data engineers, ML engineers, IoT specialists, and business stakeholders to ensure platform adoption and value realization.
• Mentor team members and contribute to technical standards and best practices.
• Act as a thought leader for GCP-, MCP-, and Agent-driven data/AI architecture across the enterprise.
  
  
  

What You'll Bring to Our Team

Qualifications Required:

• 6–8 years of experience in data architecture, distributed systems, or ML platform engineering.
• Hands-on experience architecting solutions on Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Pub/Sub, Data Lake, Looker).
• Proven experience working with IoT-connected data and real-time analytics pipelines.
• Expertise in Master Data Management (MDM) solutions, data quality, and stewardship.
• Strong knowledge of cloud/hybrid infrastructure design, networking, and infrastructure automation (e.g., Terraform, Kubernetes, CI/CD).
• Solid understanding of LLM architecture, embeddings, and retrieval pipelines.
• Demonstrated experience applying AI/ML solutions in supply chain, logistics, or manufacturing domains.
• Proficiency in Python, Go, or Java, with experience in API-driven and microservice architectures.
  
  
  

Our Culture

Our work is centered on our People and Culture as reflected in our Zero Distance philosophy and we recognize the importance of reaffirming our commitment to inclusion and diversity (I&D). This underscores our commitment to fostering an environment where every individual feels valued, connected, and empowered to contribute, while positioning our organization to adapt seamlessly to the evolving needs of our workforce and communities.

This reflects our dedication to creating solutions that: Empower colleagues by fostering an environment where all voices are heard, valued, and encouraged to contribute. Strengthen communities where we live and work. Reinforce a culture of belonging, purpose, and engagement. Reflect the diversity of the communities we serve through our workforce, products, and practices.

By further embedding Zero Distance into our People and Culture framework, we will continue to build a deeply connected organization. We are cultivating a culture of engagement, belonging, and connection, because while attracting new talent remains a priority, retention is a cornerstone of our strategy.

GE Appliances is a trust-based organization. It is important we offer our employees the flexibility they need to do their best work while balancing the needs of the business and individuals. When you join GE Appliances, you will have the opportunity to work with your leader to create a flexible work arrangement that balances the needs of the individual, team, and organization.

GE Appliances is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Appliances participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S

If you are an individual with a disability and need assistance or an accommodation to use our website or to apply, please send an e-mail to ask.recruiting@geappliances.com