GenAI Architect / GenAI Technical Lead

Wsne Consulting; Hyderabad, Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Wsne Consulting seeks an experienced GenAI Architect to design, develop, and deploy enterprise-grade Generative AI solutions. You will lead architecture decisions and hands-on development using Python, LLMs, RAG, embeddings, and vector databases.

The role requires strong knowledge of LangChain, Azure OpenAI, Hugging Face, and cloud data platforms. You will collaborate with data scientists, ML engineers, and business stakeholders in a fast-paced IT services environment.

Qualifications

• 7–10 years in AI/ML or GenAI domains with hands-on design and architecture experience.
• Experience building enterprise GenAI solutions and architectures.
• Strong ability to design scalable, secure AI systems and collaborate with diverse stakeholders.

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 ML, Azure OpenAI, Azure Functions, and Cognitive Services.
• Work with AWS AI services such as SageMaker, Lambda, and Bedrock, and data platforms like Snowflake.
• Integrate GenAI solutions with enterprise apps, APIs, automation platforms, and data sources.
• Drive model lifecycle management, monitoring, security, and compliance.

Skills

Python

Generative AI / LLMs

RAG

Embeddings

Vector Databases

LangChain

Pydantic

OpenAI / Azure OpenAI

Hugging Face

Prompt Engineering

Pandas

NumPy

FastAPI

Education

Bachelor's/Master's in CS/AI/ML/Data Science

Tools

Azure OpenAI

Azure ML

Azure Functions

SageMaker

Bedrock

Snowflake

Job description

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
• Strong understanding of LLM hyperparameters and model evaluation
• ML algorithms, training pipelines, and evaluation techniques

Cloud & Data Skills

• Azure: Azure OpenAI, Azure ML, Azure Functions, Cognitive Services
• AWS: SageMaker, Lambda, Bedrock
• Snowflake / Enterprise Data Platforms
• API and enterprise-system integration

Architecture Responsibilities

• Design scalable and secure GenAI system architectures.
• Select appropriate AI/ML technologies and frameworks.
• Define model development, deployment, monitoring, and maintenance strategies.
• Identify suitable use cases for RAG, fine-tuning, prompting, agents, and other GenAI techniques.
• Optimize model/application performance and scalability.
• Ensure security, governance, and compliance of AI solutions.
• Drive innovation and adoption of emerging GenAI technologies.

Preferred Skills

• Experience architecting enterprise GenAI/AI solutions.
• Hands-on experience with Azure and/or AWS AI services.
• Strong problem-solving and system-design capabilities.
• Experience integrating GenAI with enterprise workflows and automation.
• Experience leading technical teams or working as TL/TM/SDM.
• Strong stakeholder management and communication skills.

Education

Bachelor's/Master's degree in Computer Science, Engineering, AI/ML, Data Science, or a related field.

Key Skills

GenAI, Generative AI, LLM, Large Language Models, Python, RAG, Retrieval Augmented Generation, LangChain, OpenAI, Azure OpenAI, Hugging Face, Prompt Engineering, Embeddings, Vector Database, Azure ML, AWS Bedrock, SageMaker, Lambda, FastAPI, Pydantic, Pandas, NumPy, Snowflake, Machine Learning, AI Architecture, System Design

Candidate Profile

Candidates with 7–10 years of experience in AI/ML, GenAI, or related technology domains, with strong hands-on experience in GenAI application development and architecture, are encouraged to apply.

Notice Period: Immediate to 30 Days
Locations: Bangalore / Hyderabad