AI Engineer | Gen AI, Agentic AI, Gemini, GCP & RAG

Tata Consultancy Services; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Tata Consultancy Services is seeking a skilled AI engineer to develop and deploy Gen AI, Agentic AI, and multi-agent systems on Google Cloud Platform. You will build AI applications using Vertex AI, Gemini and Python, focusing on scalable architectures and enterprise integrations.

You will implement prompt engineering, vector databases and model evaluation, while overseeing deployment, CI/CD, monitoring and production support with an emphasis on security and Responsible AI.

Qualifications

• Expertise in GCP, Vertex AI, Gemini Enterprise and AI fundamentals.
• Hands-on with multi-agent systems, RAG development and prompt engineering.
• Proficiency in Python, FastAPI and cloud-native tooling.

Responsibilities

• Develop and deploy Gen AI, Agentic AI, and multi-agent solutions on GCP.
• Build AI apps using Vertex AI, Gemini, Python and FastAPI.
• Design scalable AI architectures and enterprise integrations.
• Implement prompt engineering, vector search and model evaluation.
• Manage AI deployment, CI/CD, monitoring and production support.
• Ensure security, governance and Responsible AI, with performance optimization.
• Collaborate with stakeholders to deliver AI-driven business solutions.

Skills

GCP

Vertex AI

Gemini Enterprise

Generative AI

Agentic AI

Multi-Agent Systems

RAG Pipeline Development

Prompt Engineering

LLMs

Vector Databases

Python

FastAPI

Docker

Kubernetes

Terraform

CI/CD

Tools

Docker

Kubernetes

Terraform

CI/CD

Job description

Role & responsibilities

• Develop and deploy Gen AI, Agentic AI, Multi-Agent Systems, and RAG solutions on GCP.
• Build AI applications using Vertex AI, Gemini, Python, Fast API, and cloud-native services.
• Design scalable AI architectures and enterprise integrations.
• Implement prompt engineering, vector search, embeddings, and model evaluation.
• Manage AI deployment, ML Ops, CI/CD, monitoring, and production support.
• Ensure security, governance, Responsible AI, and performance optimization.
• Collaborate with stakeholders to deliver innovative AI-driven business solutions.

Preferred candidate profile

• Expertise in GCP, Vertex AI, Gemini Enterprise, Generative AI, and Agentic AI.
• Hands-on experience in Multi-Agent Systems, RAG Pipeline Development, Prompt Engineering, LLMs, and Vector Databases.
• Strong proficiency in Python, Fast API, Docker, Kubernetes, Terraform, and CI/CD.
• Experience designing scalable enterprise AI solutions and deploying production-grade AI applications on Google Cloud.
• Excellent communication, stakeholder management, and solution design capabilities.
• Google Cloud certifications such as Professional Cloud Architect or Professional Machine Learning Engineer are highly desirable