Enterprise AI Architect - GenAI, Cloud & Governance

Siri InfoSolutions Inc

Houston (TX)

On-site

USD 150,000 - 190,000

Full time

10 days ago
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Job summary

Siri InfoSolutions Inc. in Houston, TX, is hiring an AI Architect for a full-time on-site role leading enterprise AI initiatives.

You will harness the Microsoft AI ecosystem, guide AI strategy with CIO/CTO stakeholders, and shape use cases, PoCs, and deployment patterns.

Candidates should bring cloud architecture depth, governance expertise, data analytics familiarity, and industry context from oil and gas.

Qualifications

  • Experience in AI architecture and cloud-native patterns.
  • Ability to shape AI use cases, PoCs, MVPs and enterprise architectures.
  • Familiarity with Data & Analytics platforms and real-time analytics.
  • Security and governance in AI deployments.
  • Oil and Gas industry knowledge preferred.

Responsibilities

  • Serve as primary interface between AI leadership, business stakeholders, and TCS AI ecosystem.
  • Advise CIO/CTO and other leaders on AI strategy, governance, and roadmaps.
  • Identify business challenges that can be solved through AI-enabled solutions.
  • Drive AI-led account growth through cross-sell and upsell initiatives.
  • Translate customer requirements into AI solution concepts and transformation initiatives.
  • Monitor emerging AI technologies and industry trends.
  • Position TCS as a strategic innovation partner by introducing new AI capabilities.

Skills

Cloud architecture
AI governance
Executive stakeholder management
Strategic advisory
Cross-functional leadership

Tools

Azure OpenAI
Azure AI Studio
Azure AI Search
Microsoft Fabric
Copilot Studio
Microsoft 365 Copilot
Power Platform
Power Automate
Microsoft Data Stack
Purview
Entra ID

Job description

Siri InfoSolutions Inc. in Houston, TX, is hiring an AI Architect for a full-time on-site role leading enterprise AI initiatives.

You will harness the Microsoft AI ecosystem, guide AI strategy with CIO/CTO stakeholders, and shape use cases, PoCs, and deployment patterns.

Candidates should bring cloud architecture depth, governance expertise, data analytics familiarity, and industry context from oil and gas.

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