Capgemini

GCP GenAI

Posted On

Jan. 27, 2026

Location

Bangalore, Karnataka

Experience Level

Experienced Professionals

Job Type

Permanent

Apply By

Feb. 25, 2026

Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

Build and deploy LLM‑powered applications using Vertex AI, Gemini models, and Model Garden.
Develop end-to-end prompt engineering, fine‑tuning, and model evaluation workflows.
Implement Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Search / Vector Search / BigQuery.
Build scalable chatbots, assistants, summarization, classification, and automation workflows.

Architect production-level AI systems leveraging GCP services (Vertex AI, GKE, Cloud Functions, BigQuery, Pub/Sub, Cloud Run).
Implement CI/CD pipelines for ML (Vertex AI Pipelines / Cloud Build).
Optimize model performance, inference cost, latency, and security.

Prepare and process data for experimentation and fine‑tuning.
Design scalable data workflows with BigQuery, Dataflow, Dataproc, Cloud Storage.
Ensure governance, quality, and compliance in AI datasets.

Work with product, engineering, and business teams to translate requirements into AI-powered features.
Document architecture, design decisions, and best practices.

Your Profile

Strong hands‑on experience with GCP services including Vertex AI, IAM, Cloud Run, GKE, and BigQuery
Expertise working with LLMs such as Gemini, Llama, Mistral, or similar
Proficiency in Python and frameworks such as LangChain, TensorFlow, PyTorch, and Scikit‑learn
Understanding of RAG systems, vector databases, and prompt engineering
Experience with fine‑tuning models (LoRA, PEFT, supervised tuning)
Familiarity with MLOps tools like Vertex AI Pipelines, Kubeflow, or MLflow
Knowledge of Docker and Kubernetes

Strong problem‑solving and analytical skills
Clear and effective communication abilities
Ability to collaborate with cross‑functional teams
Comfort working in agile development environments

What You'll love about working here

•We’re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work.

•Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events, yoga challenges, or marathons.

•At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com

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