Remote Senior AI Architect – Multi-Cloud GenAI & MLOps Lead

Westinghouse Electric Company, LLC; Oregon; Hybrid; USD 103,000 - 129,000; Full time

Benefits offered by this job

Comprehensive Medical benefits

401(k) with company match

Flexible work arrangements

Job summary

Westinghouse Electric Company, LLC is seeking a Senior Staff AI Architect to lead architecture, engineering, and operationalization of enterprise AI capabilities across a multi-cloud environment. The role is remote and reports to the Manager - AI Architecture.

You will define secure, scalable AI platforms spanning Azure, GCP, Databricks, and AKS, with emphasis on governance, security, and scalable production services.

Qualifications

• 10+ years of experience in software, cloud, data, platform, or AI engineering and senior technical leadership.
• Experience as a technical lead.
• Bachelor's degree in a related technical field.
• Professional certifications in Azure, GCP, Databricks, Kubernetes, or AI/ML architecture.
• Multi-cloud architecture experience spanning Azure and GCP, with workload placement and security considerations.

Responsibilities

• Serve as senior technical authority for AI architecture across multi-cloud environments.
• Architect and stand up foundational AI infrastructure and services.
• Define reference architectures, security guardrails, and reusable patterns for enterprise AI workloads.
• Lead delivery for generative AI, ML, RAG, agentic AI, data services, APIs, and production AI apps.
• Promote MLOps, CI/CD, IaC, automated testing, monitoring, and lifecycle management.

Skills

AI architecture

Multi-cloud

MLOps / GenAIOps

Security & IAM

Kubernetes / AKS

Cross-functional collaboration

Education

Bachelor's degree in CS/engineering or related field

Tools

Databricks

Azure

Google Cloud Platform

Kubernetes

Microsoft Entra

Job description

Westinghouse Electric Company, LLC is seeking a Senior Staff AI Architect to lead architecture, engineering, and operationalization of enterprise AI capabilities across a multi-cloud environment. The role is remote and reports to the Manager - AI Architecture.

You will define secure, scalable AI platforms spanning Azure, GCP, Databricks, and AKS, with emphasis on governance, security, and scalable production services.