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Enterprise AI Architect (Industry-Focused)
New Yesterday
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
- Location:
- London
- Salary:
- not provided
- Job Type:
- FullTime
- Category:
- IT;IT
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