Job Summary

We are seeking an experienced Agentic AI Architect to design and build enterprise-scale Agentic AI platforms that enable autonomous, intelligent, and team-oriented AI agents. The ideal candidate will drive architecture, technology strategy, and AI engineering best practices while delivering scalable, secure, and production-ready AI solutions.

Key Responsibilities

- Design enterprise architecture and technical roadmap for Agentic AI platforms.
- Build scalable multi-agent AI systems with reasoning, planning, memory, and autonomous decision-making capabilities.
- Architect solutions using LLMs, RAG, vector databases, embeddings, prompt engineering, orchestration frameworks, and agent execution engines.
- Design reusable frameworks for agent orchestration, lifecycle management, governance, observability, and monitoring.
- Integrate AI platforms with enterprise applications, APIs, databases, messaging systems, and cloud services.
- Implement AI security, governance, privacy, compliance, guardrails, and Responsible AI practices.
- Evaluate and implement frameworks such as Google ADK, LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and MCP.
- Lead architecture reviews, technical governance, design workshops, and solution validation.
- Develop Proof of Concepts (PoCs) to evaluate emerging AI technologies.
- Mentor engineering teams and establish architecture standards and best practices.
- Collaborate with Product, AI/ML, Data Engineering, Cloud, DevOps, and Security teams.
- Drive AI platform scalability, modernization, performance optimization, and cost efficiency.

Required Skills





- Strong expertise in Agentic AI architecture and enterprise AI solution design.
- Hands-on experience with Large Language Models (GPT, Gemini, Claude, Llama, Mistral).
- Strong knowledge of RAG, Vector Databases, Embeddings, Prompt Engineering, AI Memory, Knowledge Graphs, and AI Orchestration.
- Experience with Google ADK, LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, MCP, or similar frameworks.
- Strong Python programming skills.
- Experience with FastAPI, REST APIs, Microservices, Distributed Systems, Event-Driven Architecture, Docker, Kubernetes, CI/CD, Git, and Azure/AWS/GCP.
- Knowledge of MLOps, LLMOps, AI Observability, monitoring, and production deployments.
- Strong understanding of AI Security, Governance, Responsible AI, and Enterprise Architecture.

Qualifications

- Master's or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
- 10+ years of software engineering experience.
- 5–7+ years of experience designing enterprise AI/ML platforms and distributed systems.
- Proven experience architecting production-grade Agentic AI solutions.

Preferred Experience

- Domain experience in Supply Chain, Manufacturing, Retail, Healthcare, Financial Services, or Enterprise Automation.
- Experience building multi-agent collaboration systems.
- Knowledge of AI Governance and Responsible AI.
- Enterprise Architecture and Cloud Certifications are preferred.

Skills:- Artificial Intelligence (AI), Agentic AI, Solution architecture, Python, LangGraph, Machine Learning (ML), AIML and AI/ML

📌 Agentic AI Architect (Hyderabad)
🏢 BIG IT JOBS
📍 Hyderabad