GenAI lead/Gen AI architect

Cognitud Advisory Services; Pune District, Chennai District, Bengaluru; On-site; INR 4,000,000 - 6,800,000; Full time

Job summary

Cognitud Advisory Services in India is seeking a Generative AI Architect to define enterprise GenAI strategies and architect scalable AI solutions. The role requires deep expertise in LLMs, RAG, AI agents, cloud AI platforms, data architecture, and enterprise application integration.

You will lead design of secure GenAI platforms, select models and tooling, implement LLMOps practices, and provide technical leadership to engineering and AI teams across Pan India.

Qualifications

• 8+ years of experience in software/AI/ML architecture.
• Strong expertise in Generative AI and LLM architectures.
• Hands-on knowledge of RAG, embeddings, vector databases, prompt engineering, and AI agents.
• Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent.
• Strong Python and API development skills.
• Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
• Strong cloud architecture and microservices knowledge.
• Understanding of AI security, governance, and responsible AI.

Responsibilities

• Define enterprise Generative AI architecture and technology strategy.
• Architect LLM, RAG, conversational AI, and agentic AI solutions.
• Design secure and scalable GenAI platforms and applications.
• Select appropriate LLMs, embedding models, vector databases, and AI frameworks.
• Design data ingestion and knowledge retrieval pipelines.
• Define LLMOps practices for deployment, monitoring, evaluation, and governance.
• Integrate GenAI solutions with enterprise applications, APIs, and data platforms.
• Establish architecture standards for security, privacy, scalability, and responsible AI.
• Conduct technology evaluations and proof-of-concepts.
• Provide technical leadership to engineering and AI teams.

Skills

GenAI architecture

LLM architectures

RAG

Embeddings

Vector databases

Prompt engineering

AI agents

Python

API development

LangChain

LlamaIndex

Semantic Kernel

Cloud architecture

Microservices

AI security

Tools

Azure OpenAI

AWS Bedrock

Google Vertex AI

LangChain

LlamaIndex

Semantic Kernel

Job description

Generative AI Architect

Location: Pan India
Experience: 815 Years
Open Positions: 10

Job Summary

We are looking for a Generative AI Architect to define enterprise GenAI strategies and architect scalable AI solutions. The role requires deep expertise in LLMs, RAG, AI agents, cloud AI platforms, data architecture, and enterprise application integration.

Key Responsibilities

• Define enterprise Generative AI architecture and technology strategy.
• Architect LLM, RAG, conversational AI, and agentic AI solutions.
• Design secure and scalable GenAI platforms and applications.
• Select appropriate LLMs, embedding models, vector databases, and AI frameworks.
• Design data ingestion and knowledge retrieval pipelines.
• Define LLMOps practices for deployment, monitoring, evaluation, and governance.
• Integrate GenAI solutions with enterprise applications, APIs, and data platforms.
• Establish architecture standards for security, privacy, scalability, and responsible AI.
• Conduct technology evaluations and proof-of-concepts.
• Provide technical leadership to engineering and AI teams.

Required Skills

• 8+ years of experience in software/AI/ML architecture.
• Strong expertise in Generative AI and LLM architectures.
• Hands‑on knowledge of RAG, embeddings, vector databases, prompt engineering, and AI agents.
• Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent.
• Strong Python and API development skills.
• Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
• Strong cloud architecture and microservices knowledge.
• Understanding of AI security, governance, and responsible AI.

Preferred

• Experience with enterprise GenAI transformation programs.
• Experience with LLM evaluation, fine‑tuning, and model optimization.
• Relevant cloud/AI certifications.