Experience: 1016 Years

About the Role:

We are looking for a hands-on Technical Architect with a solid foundation in Python backend development, deep expertise in Agentic AI, and experience designing and delivering cloud-native applications at scale. This is an architecture-plus-development role for someone who actively codes, drives technical decisions, and builds enterprise-grade solutions from concept to production.

Key Responsibilities:

- Architect and develop scalable, high-performance applications using Python.

- Design and implement Agentic AI solutions leveraging LLMs, RAG, Multi-Agent Systems, and AI orchestration frameworks.

- Build cloud-native solutions on AWS and/or Azure.

- Drive system design, microservices architecture, API strategy, and platform scalability.

- Lead technical design discussions and provide hands-on guidance to engineering teams.

- Ensure security, reliability, observability, and production readiness of solutions.

- Mentor engineers while remaining actively involved in development and code reviews.

Required Skills:

- 1016 years of software engineering experience with strong hands-on coding expertise.

- Strong Python development background (FastAPI, Flask, Async Programming preferred).





- Experience with Agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar.

- Expertise in LLMs, RAG, Vector Databases, Prompt Engineering, and AI Agents.

- Strong cloud experience with AWS and/or Azure.

- Experience with Microservices, Distributed Systems, Docker, Kubernetes, and CI/CD.

- Proven track record of delivering large-scale enterprise applications in production.

- Excellent system design and architecture skills.

Nice to Have:

- MCP (Model Context Protocol)

- Knowledge Graphs

- AI Observability & Governance

- Event-Driven Architecture

- GenAI Platform Engineering

Ideal Candidate Profile:

- Currently working as a Technical Architect, AI Architect, GenAI Architect, Principal Engineer, Staff Engineer, or Lead Engineer.

- Strong builder mindset with recent hands-on development experience.

- Has designed and implemented AI-powered solutions in production.

- Not focused on project management, scrum management, or people management alone.

Note: This role is strictly for hands-on technical leaders. Profiles with primary experience in Product Management, Program Management, Scrum Master, or Delivery Management will not be considered.

📌 Python Agentic AI Technical Architect (Bengaluru)
🏢 Sapient (publicissapient)
📍 Bengaluru