– GenAI Technical Architect / Senior Technical Lead

Experience: 18–23 Years

Location: PAN India

Primary Skills: Python, React, Agentic AI, AWS Cloud

Position Summary

We are seeking a highly experienced GenAI Technical Architect / Senior Technical Lead with 18–23 years of experience in designing and delivering enterprise-scale digital solutions. The ideal candidate will possess strong expertise in Python, React, Agentic AI frameworks, and AWS Cloud, with a proven track record of architecting and implementing large-scale Generative AI applications.

The role requires hands-on technical leadership, solution architecture expertise, and the ability to drive AI transformation initiatives from concept to production deployment.

Key Responsibilities

- Lead the architecture, design, and development of enterprise-grade Generative AI and Agentic AI solutions.
- Design and implement multi-agent systems using frameworks such as CrewAI, AutoGen, LangGraph, LangChain, Semantic Kernel, and LlamaIndex.
- Develop scalable AI applications leveraging Large Language Models (LLMs), RAG, Agentic Workflows, and AI Orchestration frameworks.
- Build robust backend services and APIs using Python (FastAPI, Flask, Django).
- Design and develop intuitive user interfaces using React.js, JavaScript, TypeScript, Redux, and modern UI frameworks.
- Architect cloud-native AI solutions on AWS using services such as Bedrock, Lambda, ECS, EKS, SageMaker, OpenSearch, DynamoDB, S3, API Gateway, and CloudWatch.
- Implement Retrieval-Augmented Generation (RAG), Hybrid Search, Knowledge Graphs, and Vector Database solutions.
- Establish AI governance, Responsible AI, security, observability, and model monitoring practices.




- Collaborate with Product Owners, Business Stakeholders, Data Scientists, and Engineering teams to define AI roadmaps.
- Lead technical teams, mentor engineers, and drive engineering excellence across programs.
- Evaluate emerging AI technologies and recommend best-fit solutions aligned with business objectives.
- Ensure production readiness, scalability, performance, and security compliance of AI solutions.

Required Skills

Generative AI & Agentic AI

- Robust expertise in Generative AI and Agentic AI architectures.
- Hands-on experience with:
- CrewAI
- AutoGen
- LangGraph
- LangChain
- LlamaIndex
- Semantic Kernel
- OpenAI/Azure OpenAI Models
- Amazon Bedrock

- Experience designing Multi-Agent and Autonomous Workflow systems.
- Strong knowledge of Prompt Engineering, Chain-of-Thought, ReAct, and Tool Calling.

Python Development

- 10+ years of experience in Python development.
- Expertise in:
- FastAPI
- Flask
- Django
- Async Programming
- REST API Development
- Microservices Architecture

- Experience building enterprise-scale backend platforms.

Front-End Development

- Strong hands-on experience in:
- React.js
- TypeScript
- JavaScript
- Redux
- Material UI
- HTML5/CSS3

- Experience building AI-powered user interfaces and dashboards.

AWS Cloud





- Deep expertise in AWS cloud architecture and deployment.
- Experience with:
- AWS Bedrock
- SageMaker
- Lambda
- ECS/EKS
- API Gateway
- DynamoDB
- OpenSearch
- S3
- CloudWatch
- IAM
- EventBridge

- Experience designing highly available, scalable, and secure cloud solutions.

Data & AI Engineering

- Experience with:
- Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
- RAG Frameworks
- Knowledge Graphs
- Embedding Models
- Data Pipelines
- Document Processing
- OCR Solutions

DevOps & MLOps

- Docker
- Kubernetes
- CI/CD Pipelines
- GitHub Actions / Jenkins
- MLflow
- Model Monitoring
- LLMOps

Leadership Expectations

- Drive solution architecture and technology strategy for AI initiatives.
- Manage and mentor large engineering teams.
- Conduct architecture reviews and code reviews.
- Define engineering standards, governance, and best practices.
- Engage with CXO-level stakeholders and customers.
- Estimate project efforts and provide technical leadership during pre-sales engagements.

Preferred Qualifications

- Experience in enterprise AI transformation programs.
- AWS Solution Architect Certification.
- Experience with Bedrock Agents and Agentic AI platforms.
- Exposure to AI Governance and Responsible AI frameworks.
- Experience in Healthcare, BFSI, Retail, Manufacturing, or Telecom domains.

Ideal Candidate Profile A seasoned Technology Leader/Architect with strong expertise in Python, React, Agentic AI, and AWS, capable of leading end-to-end GenAI transformation programs, architecting scalable enterprise solutions, and mentoring high-performing engineering teams.

📌 Gen Ai FS architect (Bengaluru)
🏢 TalentOla
📍 Bengaluru