25 cloud ai architect jobs at 6 companies in Warren, OH
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Salesforce Data Cloud & AI Architect Senior Manager
New York or Los Angeles or Milwaukee or Detroit or Dallas or Minneapolis or Columbus or Cincinnati or Cleveland or Albany or Chicago or Arlington or St. Louis or Hartford or Pittsburgh or Miami or Raleigh or San Francisco or Denver or Boston or Atlanta or Philadelphia or Austin or Overland Park or Houston or Charlotte or Seattle
$123k-$302k/yrOnsiteFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
8+ YOE8+ years Salesforce architecture experience, 4+ years Data Cloud, 4+ years enterprise integration experience, 1+ year Agentforce/Voice AI experience; bachelor\u0002s in CS/Engineering or equivalent; strong AI, identity resolution, and CRM integration skills.
Albany or Arlington or Atlanta or Austin or Beaverton or Bentonville or Boston or Carmel or Charlotte or Chicago or Cincinnati or Cleveland or Columbus or Culver City or Denver or Des Moines or Detroit or Hartford or Houston or Irving or Kirkland or Miami or Milwaukee or Minneapolis or Morristown or Mountain View or Nashville or New York City or Oklahoma City or Overland Park or Philadelphia or Pittsburgh or Raleigh or Redmond or Sacramento or San Diego or San Francisco or Scottsdale or Seattle or St. Louis or St. Petersburg or Walnut Creek
HybridFull Time
AccentureNYSE: ACN: Global professional services firm providing consulting and technology solutions.
5+ YOERequires 5+ years designing large-scale AI/ML solutions on public cloud platforms, 2+ years with agentic and generative AI, and a bachelor's degree or equivalent experience.
AI Agents, Generative AI, Foundation Models, Knowledge Graphs, Semantic Layers, AgentOps, LLMOps, AI Governance, AI Security, AI Observability, AI DevOps, Large Language Models (LLMs), Machine Learning (ML), Deep Learning, Cloud Data Architecture, Cloud Technology Architecture, Data Engineering
Signet JewelersNYSE: SIG: Global retailer of diamond jewelry and professional jewelry services.
Design and deliver enterprise SaaS and cloud-native applications, integrate LLM/Generative AI, lead solution architecture, and apply security and prompt-engineering best practices.
Rockwell AutomationNYSE: ROK: Sells industrial automation hardware and digital manufacturing software solutions.
12+ YOEBachelor's degree or equivalent experience; legal U.S. work authorization required (no sponsorship); up to 10% travel; deep infrastructure, platform, cloud, container, and infrastructure-as-code experience expected.
infrastructure as code, Azure, AWS, GCP, Kubernetes, containers, APIs
LTIMindtreeNational Stock Exchange of India: LTIM: Global technology consulting and digital solutions.
10+ YOE5+ MgmtRequires 10+ years in Salesforce architecture and 5+ years leading enterprise architecture initiatives, with Agentforce, Data Cloud, AI, integrations, security, governance, and executive stakeholder experience.
Agentforce, Salesforce, Einstein AI, Data Cloud, Agent Builder, Prompt Builder, Copilot Actions, Apex, Lightning Web Components (LWC), MuleSoft, Platform Events, External Services, Sales Cloud, Service Cloud, Experience Cloud, Industry Clouds, Large Language Models (LLMs), Prompt Engineering, Retrieval Augmented Generation (RAG)
Solution Architect Sr - Strategy, Innovation and Delivery
Pittsburgh or Cleveland or Strongsville or Birmingham or Dallas or Denver or Lakewood or Phoenix
$112k-$229k/yrOnsiteFull Time
PNC Financial ServicesNYSE: PNC: Provides banking, lending, and investment services to customers.
8+ YOEBachelor's degree, typically 8+ years industry experience, enterprise solution/platform/data architecture experience, TOGAF familiarity, strong communication, strategic thinking, and experience with cloud-native data and AI/ML architectures.
The Open Group Architecture Framework (TOGAF), AI/ML, Machine Learning (ML)
Avery DennisonNYSE: AVY: Manufacturer of materials science and digital identification products.
10+ YOE3+ MgmtBachelor’s or master’s degree in a quantitative computing field; 10+ years in enterprise data architecture, platform engineering, or cloud infrastructure; 3+ years leading technical teams; expertise in multi-cloud, data, AI, and DevOps.