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AI Architect

PublishedPublished: 6/14/2022
Technology

Job Description

Job DescriptionTitle: AI Architect
Location: Houston, TX
Duration: Full-Time

Must Have Technical/Functional Skills

  • Must have experience with Microsoft AI Ecosystem: 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.
  • Well versed with Cloud Architecture. Must have good understanding on Cloud-native AI architectures, AI deployment patterns, Enterprise integrations, API enablement, Microservice on Azure or AWS Architecture.
  • Capable to solution AI Architecture, should Consultantly be able to shape AI Use Cases, PoCs, MVPs, Business Cases, Enterprise AI Architectures, Value Realization Models
  • Good understanding on Data and Analytics: Data Warehousing, Data Lake, Data Governance, Data engineering, Real time Analytics on tools like Fabric, Synapse, Data Bricks or Snowflake.
  • Good understanding of AI Governance and Security
  • Preferably from Oil and Gas industry with understanding on Business Processes like Supply Chain, Finance, HR, Manufacturing Field operations.

Roles & Responsibilities

  • Build executive relationships with CIO, CDO, CTO, Enterprise Architecture, Data & AI leaders.
  • Advise customer leadership on AI strategy, GenAI adEligible to workion, Agentic AI, AI governance, and enterprise AI roadmaps.
  • Act as a strategic consultant to 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.

Generic Managerial Skills, If any

  • Executive presence with the ability to influence senior stakeholders (CIO, CTO) and drive strategic discussions.
  • Strong leadership skills with the ability to lead cross-functional and geographically distributed teams.
  • Ability to build consensus and drive decision-making across business and technology stakeholders.
  • Proven ability to operate effectively in ambiguous and rapidly evolving environments.
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