Gen AI Architect

Capgemini; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading global consulting firm in Singapore is seeking an experienced Gen AI Architect to lead the design and implementation of advanced AI and Generative AI solutions. The ideal candidate will have over 10 years of experience in AI/ML model development and 3 years as a Solution Architect. Responsibilities include architecting end-to-end data-driven solutions and managing the MLOps lifecycle. This role demands strong technical skills in NLP, computer vision, and machine learning pipeline automation.

Qualifications

• 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.
• Strong knowledge of machine learning pipeline automation and MLOps best practices.

Responsibilities

• Lead the design and implementation of AI, ML, and Generative AI solutions.
• Architect and deliver data-driven solutions using machine learning techniques.
• Own the MLOps lifecycle including model validation, monitoring, and retraining.
• Engage with stakeholders to translate business problems into AI architectures.

Skills

AI/ML model development and deployment

Deep-dive analytics

NLP

Machine Learning

Generative AI

MLOps

Tools

Python

Keras/TensorFlow

NLTK

PySpark

Hive

SQL

Job description

Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Singapore# Gen AI Architect## **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.Experience levelExperienced ProfessionalsLocationSingapore