Gen AI Architect
Leads the design and implementation of enterprise AI, ML, and Generative AI solutions at Capgemini in Singapore: architecting end-to-end data-driven systems, owning the MLOps lifecycle, and building NLP, recommender, and computer vision models using Python, TensorFlow/Keras, PySpark, Hive, and SQL.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Architecture
- Posted
Skills
Must have
- 10+ years of experience in AI/ML model development and deployment
- 3+ years of experience as a Solution Architect
- Generative AI (GenAI) solution design and implementation — mandatory skill
- Architect and deliver end-to-end data-driven solutions using statistical techniques, machine learning, deep learning, and MLOps frameworks
- Lead teams developing AI/ML models across supervised, unsupervised, and deep learning algorithms
- Own MLOps lifecycle: model validation, explainability, monitoring, retraining, and governance (AI Glass Box)
- NLP expertise: latent semantic analysis, document similarity, document classification, text analytics, language models
- Recommender systems: content-based and collaborative filtering models
- Computer vision: neural networks, CNNs, RNNs, advanced image analytics
- Statistical modeling and predictive analytics
- Translate business problems into scalable AI architectures and roadmaps with stakeholders
- Programming & frameworks: Python, Keras/TensorFlow, NLTK
- Big data & distributed computing: PySpark, Hive
- Databases: SQL
- Strong knowledge of ML pipeline automation and MLOps best practices
Full 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.
Job Description
The Gen AI Architect will lead the design and implementation of advanced AI, Machine Learning, and Generative AI solutions. This role requires deep hands-on expertise across NLP, computer vision, recommender systems, and MLOps, along with strong architectural leadership to build scalable enterprise-grade AI solutions.
Key Responsibilities
- Architect and deliver end-to-end data-driven solutions using statistical techniques, machine learning, deep learning, and MLOps frameworks.
- Lead and guide teams in developing AI/ML models across supervised, unsupervised, and deep learning algorithms.
- Own the MLOps lifecycle including model validation, explainability, monitoring, retraining, and governance (AI Glass Box).
- Develop solutions across:
- NLP: Latent semantic analysis, document similarity, document classification, text analytics, language models.
- Recommender Systems: Content-based and collaborative filtering models.
- Computer Vision: Neural networks, CNNs, RNNs, and advanced image analytics.
- Perform statistical modeling and predictive analytics to support business insights.
- Conceptualize, design, and implement Generative AI (GenAI) solutions—mandatory skill.
- Engage with stakeholders to translate business problems into scalable AI architectures and roadmaps.
Experience Requirements
- 10+ years of experience in AI/ML model development and deployment, with strong expertise in deep‑dive analytics.
- 3+ years of experience as a Solution Architect.
Technical Skills
- Programming & Frameworks: Python, Keras/TensorFlow, NLTK
- Big Data & Distributed Computing: PySpark, Hive
- Databases: SQL
- Strong knowledge of machine learning pipeline automation and MLOps best practices.
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.