Generative AI Technical Architect

ETT CareerMove; Bengaluru Urban; Hybrid; INR 2,500,000 - 3,500,000; Full time

Job summary

ETT CareerMove is seeking a Generative AI Technical Architect in India, responsible for designing enterprise-grade Generative AI solutions. This hands-on role requires deep expertise in LLMs, agentic AI systems, and production environments.

The ideal candidate will have 10+ years in architecture, strong knowledge of Python, and experience with AI/ML services across cloud platforms. The position offers the opportunity to shape the enterprise AI strategy in locations like Hyderabad, Bengaluru, and Pune.

Qualifications

• 10+ years in Software / Data / ML Architecture, including 3+ years in Generative AI systems.
• Hands-on experience with LLMs, Transformers, and agentic AI frameworks.
• Expertise in Python and ML frameworks such as PyTorch / TensorFlow.

Responsibilities

• Define end-to-end GenAI architecture including RAG pipelines.
• Design scalable, production-ready AI/LLM applications.
• Evaluate and select LLMs and tools for integration.

Skills

Software / Data / ML Architecture

Generative AI systems

Python

Machine Learning frameworks (PyTorch / TensorFlow)

AWS, Azure, GCP AI services

Docker

Kubernetes

CI/CD

MLOps

API/microservices architecture

Education

Degree in Computer Science, Data Science, Engineering

Tools

LangChain

LlamaIndex

Pinecone

Weaviate

OpenSearch

Job description

We are seeking a Generative AI Technical Architect to serve as the principal technical authority for designing and delivering enterprise‑grade Generative AI solutions. This role will define architecture standards, lead implementation strategy, and ensure scalable, secure, and responsible AI adoption across the organisation.

This is a hands‑on architecture role requiring deep expertise in LLMs, agentic AI systems, and production‑grade GenAI platforms.

Key Responsibilities

• Define end‑to‑end GenAI architecture including RAG pipelines, agentic AI systems, and model fine‑tuning frameworks
• Design and implement scalable, production‑ready AI/LLM applications (hands‑on development required)
• Evaluate and select LLMs (GPT, Claude, Llama) and tools such as LangChain, LlamaIndex, vector databases (Pinecone, Weaviate, OpenSearch)
• Architect enterprise integration patterns across CRM, ERP, HRIS, and data platforms
• Ensure performance, scalability, and cost optimisation for large‑scale inference systems
• Implement LLMOps/MLOps practices, including CI/CD, monitoring, model drift detection, and versioning
• Drive Responsible AI governance, including bias mitigation, explainability (XAI), and compliance (GDPR)
• Design secure data pipelines for embeddings, vectorisation, and enterprise data usage
• Define and maintain a forward‑looking Generative AI roadmap and innovation strategy
• Act as SME for C‑level stakeholders, product teams, and engineering leadership

Required Experience & Skills

• 10+ years in Software / Data / ML Architecture, with at least 3+ years in production Generative AI systems
• Strong hands‑on experience with LLMs, Transformers, prompt engineering, RAG, and agentic AI frameworks
• Expertise in Python and ML frameworks such as PyTorch / TensorFlow
• Experience with AWS, Azure, or GCP AI services (Bedrock, Azure OpenAI, Vertex AI)
• Strong knowledge of vector databases, embeddings, and modern data architectures
• Experience with Docker, Kubernetes, CI/CD, and MLOps platforms
• Strong understanding of enterprise system integration and API/microservices architecture

Preferred Qualifications

• Degree in Computer Science, Data Science, Engineering, or related field
• Cloud Architect or AI/ML certifications (AWS / Azure / GCP preferred)
• Experience building enterprise‑scale AI platforms or GenAI products in production

Location

Hyderabad | Bengaluru | Pune

If you are passionate about building real‑world GenAI systems at scale and shaping enterprise AI strategy, we would like to connect with you.