Gen AI Architect

Tata Consultancy Services; India; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Tata Consultancy Services is seeking a Generative AI Architect to lead the design and delivery of scalable AI solutions across GCP, Azure, and AWS. You will drive architectural decisions, mentor teams, and ensure alignment with business goals.

The ideal candidate has 10+ years in IT with 2+ years in generative AI, strong Python skills, and hands-on experience with major AI frameworks and cloud services. Governance, security, and clear communication are essential.

Qualifications

• 10+ years IT experience with 2+ years in generative AI/LLMs.
• Advanced Python skills for modular APIs and pipelines.
• Hands-on with at least one major generative AI framework.
• Experience integrating LLMs via APIs (OpenAI, Gemini, HF).

Responsibilities

• Design, implement, and manage generative AI solutions across multi-cloud platforms.
• Lead cross-functional teams and drive technical vision.
• Ensure alignment of AI initiatives with business objectives and governance.

Skills

Generative AI

Python

API orchestration

LLMs

REST APIs

Docker/Kubernetes

CI/CD

Cloud architecture

Data governance

Tools

LangChain

LangGraph

Vertex AI

OpenAI Service

SageMaker

Job description

Role & responsibilities

The Generative AI Architect is a strategic technical leader responsible for designing, implementing, and managing advanced generative AI solutions across Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS). This role combines deep expertise in generative AI technologies, multi-cloud architecture, and modern software engineering practices to deliver scalable, secure, and innovative AI products. The architect leads cross-functional teams, drives technical vision, and ensures alignment between business objectives and AI initiatives

Preferred candidate profile

• 10+ years of IT experience, with 2+ years in generative AI, LLMs, or related AI/ML technologies.
• Advanced proficiency in Python, with ability to build modular APIs, pipelines, and orchestration frameworks.
• Hands-on expertise in at least one generative AI framework: LangChain, LangGraph, Google ADK, Azure AI Studio or AWS Bedrock and understanding of others.
• Experience integrating LLMs via APIs (OpenAI, Gemini, Hugging Face, etc.).
• Strong knowledge of RAG, embeddings, and vector databases.
• Familiarity with PEFT, LoRA, or prompt fine-tuning approaches.
• Cloud expertise in at least one hyperscaler (GCP, Azure, or AWS), with working knowledge of:
• GCP: Vertex AI, Document AI, BigQuery, AlloyDB, Cloud Run, IAM
• Azure: OpenAI Service, Cognitive Search, Azure ML, Azure Functions, Azure Identity
• AWS: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, IAM
• Understanding of Docker/Kubernetes, CI/CD, and Git-based version control.
• Knowledge of REST APIs, JSON, and frameworks like FastAPI or Flask.
• Familiarity with data governance, security, and AI ethics.
• Strong problem-solving, project management, and communication skills.
• Ability to drive innovation and influence strategic decisions.