AI Architect

Siri InfoSolutions Inc; Town of Texas (WI); On-site; USD 170,000 - 230,000; Full time

Job summary

Siri InfoSolutions Inc is seeking an AI Architect to lead enterprise AI initiatives from Houston, leveraging Microsoft AI ecosystem and cloud-native patterns. The role interfaces with AI leadership and business stakeholders to shape strategy, governance, and roadmap.

You will translate business requirements into AI concepts, drive PoCs, MVPs, and value realization, and guide cross-functional teams across geo-distributed operations.

Qualifications

• Experience with Azure OpenAI and related Microsoft tools.
• Experience in AI deployment patterns and cloud-native architectures.
• Ability to shape AI Use Cases, PoCs, MVPs, and business cases.
• Understanding of data governance and real-time analytics.

Responsibilities

• Serve as the primary interface between Customers' AI leadership, business stakeholders, and Client's 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 Client as a strategic innovation partner by introducing new AI capabilities and solution offerings.

Skills

Microsoft AI Ecosystem

Cloud Architecture

AI Governance & Security

Enterprise AI Architectures

Data & Analytics

Oil and Gas domain knowledge

Job description

Role AI Architect

Location Houston, TX (Onsite)

Fulltime

Job Description

Must Have Technical/Functional Skills

• Must have experience with Microsoft AI Ecosystem: Azure OpenAI, Azure AI Studio, Azure AI Search, Microsoft Fabric, Co-pilot Studio, Microsoft 365 Co-pilot, 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' AI leadership, business stakeholders, and Client's 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 Client 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.