Enterprise AI Architect (Industry-Focused)

Role Purpose

Lead customer conversations and architect enterprise AI foundation stacks Stitch enterprise AI architecture & solutions, set up governance & LLMOps/MLOps Train talent convert prioritized use cases into MVPs across one or more of Retail, CPG, Travel-Transportation-Hospitality (TTH), Life Sciences Health Care, Manufacturing and Education sectors. Key Outcomes - Stand up secure AI foundation stack with observability and guardrails. - Deliver rapid MVPs in priority industry domains. - Establish AI operating model & governance. - Upskill client & internal teams with AI fluency programs.

Responsibilities - Lead C-suite architecture conversations, value cases, sovereignty considerations. - Define AI foundation stack (infra, platform, model registry, vector DB, guardrails). - Establish LLMOps/MLOps standards integrated with SDLC/DevSecOps. - Embed Responsible AI governance and risk controls. - Prioritize use cases, run solution spikes and deliver MVPs alongside engineering squads with measurable value. - Coach teams, create training paths and communities of practice.

Required Experience - 12+ years enterprise architecture; 3+ years applied GenAI/ML. - Designed enterprise AI platforms with LLMOps/MLOps & observability. - Delivered MVPs across at least one and preferably two industries. - Strong stakeholder management and roadmap shaping capability. - Experience with Sovereign/Private AI patterns. - Familiarity with cloud AI stacks and open-source ecosystems.

Travel & Work Pattern 20 40% client site as required and rest at TCS Offices primarily based out of London Reporting To:

AI & Services Transformation GTM Lead & Lead AI Enterprise Architect TPBN1_UKTJ