A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
AI Architect Realign LLC Houston, TX Job Details Full-time $132,311 a year 12 hours ago Qualifications AI models Data lake Cloud data warehouses Microsoft Power Automate Application Architecture Design (Architecture design skill) AI platforms (beyond public GPTs) Data governance Microservices Machine learning cloud services Enterprise Integration Cloud Native Design Data warehouse Generative AI Data analytics technologies Stakeholder management Full Job Description Houston, Texas 77001 Posted September 10th, 2026
Job Type:
Full Time Job Category:
IT Job Description Role:
AI Architect Location:
Houston, TX Exp:
10+ years 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 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. Required Skills Performance Architect
