W

Westinghouse Electric Company

Nuclear reactor technology and services provider

Senior Staff - AI Architect, Remote

Cloud EngineeringUpdated on Nov 14
Full-timeRemote in USA$103.2k - $129k /yr

About the Job

Requirements

  • At least 10 years of progressive experience in software, cloud, data, platform, or AI engineering, including experience architecting production systems and serving in senior technical leadership roles.
  • Experience as a technical lead.
  • A bachelor's degree in computer science, software engineering, data engineering, data science, information systems, engineering, or a related technical field.
  • Multi-cloud architecture experience spanning Microsoft Azure and Google Cloud Platform, including understanding workload placement, interoperability, networking, identity, security, and operational tradeoffs.
  • Databricks or Lakehouse architecture experience and experience integrating governed enterprise data with AI and machine-learning workloads.

Responsibilities

  • Serve as a senior technical authority for AI architecture, providing technical direction and resolving complex architecture and engineering decisions across critical AI programs.
  • Architect and help establish foundational infrastructure, platform services, and reusable capabilities across Microsoft Azure, Google Cloud Platform, Databricks, Azure Kubernetes Service, Microsoft Entra, and supporting enterprise technologies.
  • Define multi-cloud reference architectures, integration patterns, engineering standards, security guardrails, and reusable solution patterns for enterprise AI workloads.
  • Lead architecture and technical delivery for generative AI, machine learning, retrieval-augmented generation, agentic AI, data and knowledge services, APIs, microservices, and production AI applications.
  • Design secure identity, access, networking, secrets, compute, storage, data, model-serving, container, observability, and deployment patterns for enterprise AI platforms.
  • Partner with cloud, data engineering, cybersecurity, infrastructure, software engineering, data science, product, and business teams to move AI efforts from concept and proof of value into reliable production services.
  • Establish and promote MLOps, GenAIOps, continuous integration and continuous delivery, infrastructure as code, automated testing, monitoring, model and prompt lifecycle, and operational support practices.
  • Provide hands-on technical leadership through architecture reviews, design sessions, troubleshooting, implementation guidance, proofs of concept, technical documentation, and critical-path engineering when needed.

Desired Qualifications

  • Microsoft Azure, Google Cloud, Databricks, Kubernetes, or AI/ML architecture certifications.

About the Company

Westinghouse Electric Company

Nuclear reactor technology and services provider

Westinghouse Electric Company LLC provides nuclear power technology and services to utilities, governments, and private sector clients worldwide. It designs and sells nuclear reactors and fuel, and offers maintenance, training, compliance, and consulting services. Its AP1000 PWR uses passive safety features, and it is developing Small Modular Reactors (SMRs) and Microreactors for flexible deployment. The company's goal is to enable safe, reliable, low-emission energy by delivering proven reactor technologies and a broad support ecosystem globally.

Company size
10,001+
Company stage
Grant
Total funding
$39.5M
Headquarters
Cranberry, West Virginia
Founded
1886

Recently Posted Jobs

Explore more opportunities at Westinghouse Electric Company

See more jobs