Job Summary:
Tata Consultancy Services is a leader in IT services, and they are seeking an Enterprise Architect with a focus on AI. The role involves providing architectural leadership to assess AI readiness, define future-state AI architecture, and integrate AI capabilities into the broader enterprise ecosystem.
Responsibilities:
• Drive discovery and business alignment: identify AI use cases aligned with business goals; assess feasibility (technical, legal, ethical) and define measurable outcomes
• Design end-to-end AI architecture patterns including AI integration with enterprise apps, event flows, orchestration, and AI input/output pipelines
• Define data readiness and knowledge retrieval patterns (e.g., RAG) where appropriate; guide data boundaries and access controls
• Define security, compliance, and auditability controls for AI: authentication, rate limiting, prompt/response logging, and retention strategies
• Define model management guardrails: model selection guidance, versioning, evaluation, release governance, and rollback strategies
• Establish production AI lifecycle architecture with MLOps principles: automation, monitoring, drift detection, reproducibility, and operational readiness
• Partner with enterprise architecture/security teams to ensure AI initiatives integrate cleanly with platform governance
• Produce executive-ready AI architecture artifacts: target state, integration patterns, governance model, and phased adoption roadmap
Qualifications:
Required:
• 10–16 years overall IT experience
• 4–6+ years in AI/ML architecture or advanced analytics platforms
• strong enterprise integration experience
• Experience designing enterprise-scale AI/ML architectures and integrating AI services into enterprise applications
• Knowledge of LLM/GenAI concepts, RAG patterns, and model selection trade-offs
• Understanding of MLOps lifecycle concepts: reproducibility, CI/CD for ML, monitoring, and drift
• Knowledge of data pipelines and data readiness for AI (structured/unstructured)
• Experience with cloud AI services (AWS/Azure/GCP) and secure integration patterns
• Understanding of orchestration/event patterns (queues, triggers, APIs) to embed AI into workflows
• Familiarity with responsible AI governance concepts (auditability, policy guardrails)
• Awareness of PII/regulated data boundaries and access controls for AI workflows
• Ability to define logging/audit and approval gates for AI deployments
• Ability to translate AI opportunities into measurable outcomes and architecture roadmaps
• Strong documentation and executive communication skills
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.