Job Title: Senior AI Architect (GenAI / Agentic AI)

Experience: 10-15 Years (Minimum 5+ Years in AI / Generative AI)

Location: PAN India (Preferred: Pune, Chennai, Hyderabad, Kolkata, NCR, Mumbai)

Employment Type: Full Time

Job Summary

We are seeking a highly experienced Senior AI Architect to lead the design, architecture, and deployment of enterprise-scale Artificial Intelligence and Generative AI solutions. The ideal candidate will have deep expertise in LLMs, Agentic AI, RAG architectures, Multi-Agent Systems, MLOps, GenAIOps, and cloud-native AI platforms across Azure, AWS, and Google Cloud.

This role requires a strong technology leader capable of defining AI strategy, architecting scalable and secure solutions, mentoring engineering teams, and driving AI transformation initiatives across the organization.

Key Responsibilities

AI & GenAI Architecture

- Architect and deploy enterprise-grade AI and Generative AI solutions in production environments.
- Design scalable, secure, resilient, and high-performance AI platforms and applications.
- Define reference architectures, standards, and best practices for AI adoption across the organization.
- Lead the implementation of Large Language Model (LLM)-based solutions and AI-driven business applications.

Agentic AI & Intelligent Systems
- Design and implement Agentic AI systems leveraging autonomous and semi-autonomous agents.
- Architect solutions using Model Context Protocol (MCP), orchestration frameworks, tools, memory management, workflows, and reasoning frameworks.
- Develop multi-agent ecosystems for enterprise automation and intelligent decision-making.

Enterprise AI Solution Design
- Design advanced AI solutions including:
- Retrieval-Augmented Generation (RAG)
- Multi-Agent Systems

- Knowledge Assistants

- Enterprise AI Automation

- Conversational AI Platforms

- Intelligent Business Workflows
- Collaborate with business stakeholders to define and deliver AI-powered transformation initiatives.

Cloud & Platform Architecture




- Design and govern enterprise AI architectures across:

- Microsoft Azure

- Amazon Web Services (AWS)

- Google Cloud Platform (GCP)
- Establish cloud-native AI frameworks that support scalability, governance, security, and operational excellence.

MLOps & GenAIOps
- Define and implement enterprise MLOps and GenAIOps frameworks.

- Drive

- CI/CD Automation

- Model Versioning

- Experiment Tracking

- Deployment Automation

- Rollback Strategies

- Prompt Lifecycle Management

- Model Evaluation Frameworks

- Automated Retraining Pipelines

AI Operations & Governance
- Establish AI operational processes covering:

- DevOps

- DataOps

- MLOps

- GenAIOps

- Infrastructure Automation

- Observability

- Monitoring

- Governance Frameworks
- Ensure responsible AI implementation and compliance with organizational standards.

Leadership & Stakeholder Management
- Provide technical leadership across the entire AI solution lifecycle.
- Mentor architects, data scientists, AI engineers, and platform teams.
- Collaborate closely with business leaders, Centers of Excellence (CoEs), engineering leadership, and external partners.
- Drive innovation and thought leadership in emerging AI technologies.

Required Skills AI & Generative AI
- 5+ years of hands-on experience in AI/Generative AI.
- Proven experience in implementing and managing production-grade AI solutions.

- Deep expertise in

- Generative AI

- Large Language Models (LLMs)

- Agentic AI

- RAG Architectures

- Prompt Engineering
- Multi-Agent Systems

Architecture
- Strong experience architecting enterprise-scale solutions.

- Expertise in

- Microservices Architecture
- API-Driven Design




- Event-Driven Architecture

- Enterprise Integration Patterns

Cloud Platforms
- Extensive experience with:

- Microsoft Azure

- AWS

- Google Cloud Platform (GCP)

MLOps & GenAIOps
- Robust hands-on experience with:

- CI/CD for AI/ML

- Model Deployment

- Model Lifecycle Management

- Experiment Tracking

- Automated Retraining
- Monitoring & Observability

- Prompt Management Frameworks

AI Operations
- Experience in:

- Model Monitoring

- Drift Detection

- Performance Management

- Incident Management

- Capacity Planning

- Operational Governance

Preferred Skills
- Experience with LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar orchestration frameworks.
- Experience with Vector Databases such as Pinecone, Weaviate, Milvus, Chroma, or Azure AI Search.
- Experience with OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and open-source LLMs.
- Knowledge of Responsible AI and AI Governance frameworks.
- AI/Cloud architecture certifications.

Educational Qualification
- Bachelor's or Master's Degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related discipline.

Keywords for Naukri Search Senior AI Architect, GenAI Architect, Generative AI Architect, Agentic AI, LLM Architect, RAG, Multi-Agent Systems, Azure OpenAI, OpenAI, AWS AI, GCP AI, MLOps, GenAIOps, LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, AI Platform Architect, AI Solution Architect, Enterprise AI, Machine Learning Architect, AI Automation, Knowledge Assistant, Vector Database, Prompt Engineering, MCP, Intelligent Agents.

Role Category: Architecture & Technology Leadership

Role: Senior AI Architect / Principal AI Architect

Industry Type: IT Services & Consulting / Digital Transformation / AI & Analytics

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