GenAI Architect (Bengaluru)

GenAI Architect (Bengaluru)

21 Aug
|
WSNE Consulting
|
Bengaluru

21 Aug

WSNE Consulting

Bengaluru

GenAI Architect / GenAI Technical Lead

Experience: 710 Years
Level: TL / TM / SDM
Location: Bangalore / Hyderabad
Notice Period: Immediate to 60 Days
Employment Type: Full Time
Department: IT & Information Security
Role: AI/ML Architect / Generative AI
Industry: IT Services & Consulting

Job Summary

We are looking for an experienced GenAI Architect / GenAI Technical Lead to design, develop, and deploy enterprise-grade Generative AI solutions. The ideal candidate should have strong hands-on experience in Python, LLMs, RAG, embeddings, vector databases, LangChain, Azure OpenAI/AWS Bedrock, and AI solution architecture.

Key Responsibilities
- Build GenAI applications using Python for chatbots, summarization, intelligent automation, and decision-support use cases.
- Design and implement LLM, RAG, embeddings, vector search, and AI-based solutions.
- Develop and fine-tune ML/LLM models for classification, prediction, and business decision support.
- Design scalable AI architectures integrating enterprise data, APIs, and business workflows.




- Deploy and manage AI models using Azure Machine Learning, Azure OpenAI, Azure Functions, and Cognitive Services.
- Work with AWS AI services such as SageMaker, Lambda, and Bedrock, along with data platforms such as Snowflake.
- Integrate GenAI solutions with enterprise applications, APIs, automation platforms, and data sources.
- Drive model lifecycle management, monitoring, performance optimization, security, and compliance.
- Collaborate with Data Scientists, ML Engineers, Developers, and business stakeholders.
- Lead technical discussions, solution design, and architecture decisions.

Mandatory Technical Skills
- Python
- Generative AI / LLMs
- RAG (Retrieval Augmented Generation)
- Embeddings & Vector Databases
- LangChain
- Pydantic
- OpenAI / Azure OpenAI
- Hugging Face
- Prompt Engineering – Zero-shot, Few-shot, Chain-of-Thought
- Pandas, NumPy, FastAPI
- Solid understanding of LLM hyperparameters and model evaluation
- ML

📌 GenAI Architect (Bengaluru)
🏢 WSNE Consulting
📍 Bengaluru

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