06 Sep
|
TalentOla
|
Bengaluru
06 Sep
TalentOla
Bengaluru
Job Description – 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 contemporary 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
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