Job Title - AI Architecture Manager | S&C; GN
Management Level: 07 - Manager
Location: PAN India
Must Have Skills: Enterprise AI Architecture, LLM Orchestration, Agentic AI Frameworks, MLOps, API Design & Integration, AI Governance & Responsible AI, Solution Architecture for AI Transformation, LangChain / LlamaIndex, RAG Architecture, Vector Databases, Team Management
Valuable to Have Skills:Kubernetes / Docker, Feature Stores, Model Registry & Experiment Tracking (MLflow / W&B;), Event-driven Architecture (Kafka / Pub/Sub), TOGAF / ArchiMate

Job Summary:
As an AI Architecture Manager, you will be responsible for designing and governing the architectural blueprints that enable large-scale AI transformation across enterprise environments. Your typical day will involve defining how AI components — including LLMs, agents, ML models, and data pipelines — are structured, coordinated, and deployed across the enterprise. You will lead a team of AI and data engineers, engage with senior client stakeholders to shape AI strategy and platform roadmaps, and establish the reusable patterns,



standards, and governance frameworks that ensure AI systems are scalable, reliable, secure, and responsible. You will operate platform-agnostically, designing architectures that work across cloud and hybrid settings.
Roles & Responsibilities:
• Define and own enterprise AI architecture blueprints — covering LLM integration, agentic systems, ML pipelines, data flows, and API layers across the enterprise.
• Design reusable AI architecture patterns and reference architectures that standardize how AI components are built, deployed, and governed at scale.
• Lead the architectural design of LLM orchestration layers, including prompt management, context handling, tool use, and multi-agent coordination.
• Establish MLOps frameworks covering model training, versioning, deployment, monitoring, and retraining pipelines across cloud and on-premise environments.
• Define API design standards and integratio

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