AI Architect

Role: AI Architect

Location: Houston, TX

Duration: Full Time (FTE)

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 independently 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:

• Serve as the primary interface between Customers's AI leadership, business stakeholders, and TCS AI ecosystem.
• Build executive relationships with CIO, CDO, CTO, Enterprise Architecture, Data & AI leaders.
• Advise customer leadership on AI strategy, GenAI adoption, 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.
• Position TCS as a strategic innovation partner by introducing new AI capabilities and solution offerings.

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.