Senior Staff, AI Architect - REMOTE

Westinghouse Electric Company; Cranberry Township (Butler County); A distancia; USD 103.000 - 129.000; Jornada completa

Descripción de la vacante

Westinghouse Electric Company is seeking a Senior Staff AI Architect to lead architecture, engineering, and productionization of critical AI capabilities across a multi-cloud environment.

You will design secure, scalable AI infrastructure spanning Azure, Google Cloud, Databricks, AKS, and Entra, and partner with cross-functional teams to deliver production-grade AI services as an individual contributor, remote.

Formación

• 10+ years in software, cloud, data, platform, or AI engineering.
• Experience as a technical lead in complex projects.
• Bachelor's degree in a technical field.

Responsabilidades

• Serve as senior technical authority for AI architecture and decisions.
• Architect and stand up foundational AI infra and reusable capabilities.
• Define multi-cloud reference architectures and security guardrails.
• Lead architecture and delivery for generative AI, ML, and production AI apps.
• Design secure identity, networking, compute, data, and deployment patterns.
• Collaborate with cross-functional teams to productionize AI efforts.
• Establish MLOps, CI/CD, IaC, and monitoring practices.
• Provide hands-on technical leadership through reviews and guidance.

Conocimientos

AI engineering

Technical lead

Senior architect

Educación

Bachelor's degree in CS or related field

Herramientas

Azure

Google Cloud

Databricks

Kubernetes

Descripción del empleo

Are you interested in being part of an innovative team that supports Westinghouse’s mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset, and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.

About The Role

As a Senior Staff AI Architect, you will be a senior technical leader and voice of authority for the architecture, engineering, and operationalization of critical artificial intelligence capabilities across a multi-cloud environment. You will design and promote secure, scalable, reusable AI infrastructure and services spanning Microsoft Azure, Google Cloud Platform, Databricks, Azure Kubernetes Service (AKS), Microsoft Entra, and related enterprise technologies. You will be an individual contributor with no direct reports. You will report to the Manager - AI Architecture and work remotely.

Key Responsibilities

• Be a senior technical authority for AI architecture, providing clear technical direction and resolving complex architecture and engineering decisions across critical AI programs.
• Architect and help stand up foundational infrastructure, platform services, and reusable capabilities across Microsoft Azure, Google Cloud Platform, Databricks, AKS, 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 appropriate 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, CI/CD, 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.

Qualifications

• 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.
• Expereince as a technical lead
• Bachelor's degree in computer science, software engineering, data engineering, data science, information systems, engineering, or a related technical field.

Professional Certifications

• Microsoft Azure, Google Cloud, Databricks, Kubernetes, or AI/ML architecture certifications
• Multi-cloud architecture spanning Microsoft Azure and Google Cloud Platform, with understanding of workload placement, interoperability, networking, identity, security, and operational tradeoffs.
• Databricks / Lakehouse architecture and integration of governed enterprise data with AI and machine-learning workloads.

We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $103,200 to $129,000 per year.

Why Westinghouse?

Westinghouse Electric Company Is The Global Nuclear Energy Industry's First Choice For Safe, Clean, And Efficient Energy Solutions. We Enable Our Delivery Of This Vision By Living Our Value System

• Safety and Quality
• Integrity and Trust
• Customer Focus and Innovation
• Speed and Passion to Win
• Teamwork and Accountability

While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries. You can learn more by visiting http://www.westinghousenuclear.com .

Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities

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