Agentic AI Solution Architect - PAN India

Key Responsibilities

AI Solution Architecture

• Design end-to-end Agentic AI architectures for enterprise use cases.
• Define AI architecture standards, governance frameworks, and implementation blueprints.
• Lead AI transformation and modernization initiatives.
• Establish scalable and secure AI platform architecture patterns.

Agentic AI & Multi-Agent Systems

• Design autonomous AI agents with:

• Reasoning
• Planning
• Memory management
• Task execution

• Decision-making

• Define multi-agent orchestration patterns and collaboration frameworks.
• Implement human-in-the-loop (HITL) validation mechanisms.
• Design agent communication protocols and tool integrations.

Generative AI & LLM Engineering

• Evaluate and architect solutions using:

• GPT
• Claude
• Gemini
• Llama
• Mistral

• Open-source foundation models

• Design prompt engineering and prompt orchestration frameworks.
• Architect enterprise RAG solutions.
• Define semantic search and vector retrieval strategies.

AI Platform & Cloud Architecture

• Architect solutions on:

• Azure OpenAI
• Azure AI Services
• AWS Bedrock
• Amazon SageMaker

• Google Vertex AI

• Integrate AI systems with enterprise applications and APIs.
• Design event-driven and cloud-native AI platforms.

Data & Knowledge Architecture

• Architect enterprise knowledge systems.

• Design vector database solutions using:

• Pinecone
• Chroma
• Weaviate
• Milvus

• Azure AI Search

• Define:

• Data ingestion
• Embeddings
• Chunking
• Indexing
• Retrieval strategies

AI Governance & Security

• Establish responsible AI governance frameworks.
• Implement AI security controls and model guardrails.

• Manage:

• Prompt injection protection
• Hallucination controls
• Data privacy compliance
• Model governance

LLMOps & AgentOps

• Define deployment and operational frameworks for AI systems.
• Implement monitoring and observability strategies.
• Establish evaluation metrics and AI performance KPIs.
• Drive continuous improvement and feedback loops.

Must-Have Skills

Agentic AI & Generative AI

• Strong expertise in:

• Agentic AI
• Multi-Agent Systems
• Generative AI
• LLM Architectures
• RAG Frameworks

AI Frameworks

• Hands-on experience with:

• LangChain
• LangGraph
• Semantic Kernel
• AutoGen
• CrewAI
• OpenAI APIs

Cloud AI Platforms

• Experience with:

• Azure OpenAI
• Azure AI Foundry
• AWS Bedrock
• Amazon SageMaker
• Google Vertex AI

Architecture & Engineering

• Expertise in:

• Solution Architecture
• Microservices
• REST APIs
• Event-Driven Architecture

Programming

• Strong proficiency in:

• Python

AI Data Platforms

• Experience with:

• Vector Databases
• Knowledge Graphs
• Semantic Search
• Embedding Models
• Data Governance

MLOps / LLMOps

• Experience with:

• Model Deployment
• LLMOps
• AgentOps
• Kubernetes
• Docker
• CI/CD

AI Governance & Security

• Strong understanding of:

• Responsible AI
• Model Governance
• AI Security
• Compliance & Privacy Controls

Good-to-Have Skills

Certifications

• Azure AI Engineer Associate
• Azure Solutions Architect Expert
• AWS Machine Learning Specialty
• Google Professional ML Engineer
• TOGAF
• Certified Kubernetes Administrator (CKA)
• Databricks Generative AI Certification

Domain Experience

• Enterprise digital transformation
• Financial Services
• Banking
• Insurance
• Large-scale AI modernization programs