Role & responsibilities
Define the enterprise AI architecture vision and reference patterns; align them to business goals, risk posture, and engineering standards across cloud and hybrid environments.
Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops.
Establish integration patterns (APIs, events, microservices) to embed modelpowered capabilities into existing platforms with transparent service boundaries.
Define enterprise-wide AI architecture guidelines, reusable components, and long-term roadmap to ensure consistency and acceleration of AI initiatives.
Implement MLOps/LLMOps pipelines for versioning, CI/CD, approvals, and controlled promotion across settings; enforce reproducibility.
Work closely with product owners, data scientists, engineers, security teams, and business stakeholders to ensure architecture translates into highvalue solutions.
Enforce IAM leastprivilege with IAM Conditions, organisation policies, and scoped service accounts; integrate BeyondCorp for zerotrust access.

Preferred candidate profile

📌 Walk In Artificial Intelligence Architect Walkin Pune (India)
🏢 Tata Consultancy Services
📍 India