Capgemini

Anonymization in Confidential AI

Posted On

Feb. 4, 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

We are seeking a skilled and experienced professional in Anonymization, Confidential AI, Python and Architecture to join our team across PAN India Location. The ideal candidate will have 6 to 12 years hands-on experience with Confidential AI and Anonymization and a strong understanding Architecture, Python , database and Privacy models.

Develop and integrate tokenization and anonymization capabilities within AI/ML training and inference pipelines.
Implement secure data-in-use controls using Confidential Compute (TEE/SGX/GPU enclaves).Build reusable security components for model ingestion, feature engineering, training, scoring, and output pipelines.Collaborate with AI/ML Team, Product Owners, and Data Security teams to define secure patterns and enforce control requirements.
Validate and test model behaviour with tokenized/obfuscated features; support explainability (SHAP) and model integrity checks.
Ensure compliance with enterprise encryption, key-management, and data-handling standards across all AI workflows.
Optimize performance of protected AI workloads running on on-prem, GPU, and cloud-native environments. Prepare documentation, design artefacts, and guidelines for secure AI adoption across business units.

Your Profile

3 to 12 years of experience in Cryptography , Anonymization techniques, Knowledge of Confidential Compute technologies & Architecture, Python , database and Privacy models.
Strong expertise in data privacy and protection, particularly tokenization, anonymization, encryption, and secure ML pipelines.
Proven experience in AI/ML engineering, including Python, XGBoost, Scikit-learn, PyTorch/TensorFlow. Knowledge of Confidential Compute technologies (Intel SGX, AMD SEV, TEE frameworks) and secure enclaves.
Experience integrating AI workloads into enterprise platforms (APIs, feature stores, vector databases, batch/stream pipelines).
Hands-on experience with PKI, Key Management, TLS, and secure data-movement frameworks.

What you'll love about working here

You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
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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