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Salary
≈ $19k – $47k per year (Estimated)
Location
Hybrid (Pune, India)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 5, 2026. Capgemini scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

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

  • Define AI Solution Approach: Design end-to-end AI systems covering data pipelines, model lifecycle, APIs, and integration layers
  • Lead Scalable System Design: Architect cloud-native AI solutions using microservices, containers, and distributed computing
  • Enterprise Integration: Ensure seamless integration of AI solutions with existing enterprise systems (ERP, CRM, data platforms)
  • MLOps & Deployment Strategy: Establish CI/CD frameworks, model versioning, monitoring, and automated deployment pipelines
  • Data Architecture Alignment: Collaborate with data teams on data ingestion, storage, and processing optimized for AI workloads
  • Technology Selection & Standards: Define and standardize tools, frameworks, and platforms for consistency and scalability
  • Performance & Reliability Engineering: Ensure solutions meet SLAs for latency, throughput, availability, and cost efficiency
  • Security & Responsible AI: Embed security, privacy, governance, and ethical AI principles into architecture
  • Solution Evangelization: Translate business requirements into technical architectures and present to leadership

Your Profile

  • Expert-level understanding of AI/ML/GenAI/Agentic AI technical solutions and frameworks
  • Advanced cloud working knowledge (AWS, Azure, GCP) and agent development
  • Deep understanding of data engineering concepts
  • Knowledge of MLOps, DevOps, and CI/CD best practices
  • Excellent communication and stakeholder management abilities

What you will love about working here

  • We recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance
  • Our focus will be your career growth & professional development to support you in exploring the world of opportunities.
  • Equip yourself with valuable certifications & training programs in the latest technologies such as GEN AI, Agentic AI.

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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