Senior AI Architect

Job not on LinkedIn

🔥 43 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $103.2k - $129k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 1%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Westinghouse Electric Company

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

⚡ Energy

🏭 Manufacturing

Energy • Nuclear • Manufacturing

Westinghouse Electric Company is a leader in the nuclear energy sector, providing innovative solutions and advanced technologies for nuclear power generation. With a strong focus on safety and sustainability, Westinghouse develops and manufactures a range of nuclear components, including pressurized water reactors and small modular reactors. The company also offers extensive training and resource solutions to enhance operational efficiency and support the nuclear industry’s commitment to carbon-free energy.

📋 Description

• Provide senior technical authority for AI architecture and resolve complex architecture and engineering decisions • Architect and help establish foundational infrastructure, platform services, and reusable capabilities across Azure, Google Cloud Platform, Databricks, AKS, Microsoft Entra, and related technologies • Define multi-cloud reference architectures, integration patterns, engineering standards, security guardrails, and reusable solution patterns • 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 identity, access, networking, secrets, compute, storage, data, model-serving, container, observability, and deployment patterns • Partner with cloud, data engineering, cybersecurity, infrastructure, software engineering, data science, product, and business teams to move AI initiatives 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 • Report to the Manager - AI Architecture as an individual contributor with no direct reports

🎯 Requirements

• 10+ years of progressive experience in software, cloud, data, platform, or AI engineering • Experience architecting production systems • Experience serving in senior technical leadership roles • Experience 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 in Microsoft Azure, Google Cloud, Databricks, Kubernetes, or AI/ML architecture • Multi-cloud architecture experience spanning Microsoft Azure and Google Cloud Platform • Understanding of workload placement, interoperability, networking, identity, security, and operational tradeoffs • Databricks/Lakehouse architecture experience • Experience integrating governed enterprise data with AI and machine-learning workloads

🏖️ Benefits

• Remote work • Equal Opportunity Employer including Veterans and Individuals with Disabilities

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume