AI Architect – Agentic AI / GenAI

Location: Bangalore

Experience: 10+ Years

GenAI Experience: 3+ Years

Employment Type: Full-Time

Client: MNC Client

Job Overview

We are hiring an experienced AI Architect – Agentic AI / GenAI for our MNC client. The ideal candidate will be responsible for designing and building scalable, enterprise-grade Agentic AI solutions using Python, Generative AI, LLMs, RAG, and multi-agent orchestration frameworks.

Key Responsibilities

Design and architect Agentic AI systems, including Planner, Supervisor, and multi-agent workflows.
Build scalable RAG pipelines using vector databases, embeddings, and semantic search.
Develop robust Python backend APIs using FastAPI or Flask.
Design and implement LLM pipelines, prompt engineering, and reasoning strategies.
Integrate AI agents with enterprise APIs, databases, tools, and business systems.
Optimize AI applications for latency, cost, scalability, reliability, and accuracy.
Establish best practices around architecture, coding standards, code reviews, testing, and observability.
Provide technical leadership and mentor engineering teams.
Drive architecture decisions and contribute to the development of production-ready AI solutions.

Required Skills

Strong hands-on experience in Python backend development.
3+ years of hands-on experience in Generative AI / LLM technologies.
Strong experience in Agentic AI and multi-agent systems.
Hands-on experience with RAG, vector databases, embeddings, and semantic search.
Strong understanding of LLMs, prompt engineering, and reasoning frameworks.
Experience with REST APIs, microservices, and API design.
Experience with Azure, AWS, or GCP AI services.
Hands-on experience with Docker and Kubernetes.
Strong understanding of scalable architecture, distributed systems, and enterprise application design.

Experience

10+ years of overall software engineering experience.
3+ years of relevant GenAI / LLM experience.
Proven experience in AI architecture and designing scalable enterprise solutions.
Experience in technical leadership, mentoring, and architecture decision-making.

Good to Have

Experience with LangChain, LangGraph, AutoGen, CrewAI, or similar agent orchestration frameworks.
Experience with Azure OpenAI, AWS Bedrock, or Google Vertex AI.
Knowledge of AI evaluation, observability, guardrails, security, and responsible AI.
Experience deploying production-grade GenAI applications in enterprise environments.