Principal Consultant – Azure AI Engineer / Lead in London

Overview

With us, you’ll learn fast, work smart, and make a difference. You will build a career that matters.

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today.

Role

Inviting Applications for the role of Principal Consultant – Azure AI Engineer / Lead

Responsibilities

• Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics).
• Model Deployment & Management: Implement robust MLOps practices for CI/CD, monitoring, and retraining of machine learning models in Azure.
• Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference.
• Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability.
• Collaboration: Work with data scientists to operationalize models, provide feedback on model design for production readiness, and ensure seamless integration with existing systems.
• Troubleshooting & Support: Diagnose and resolve issues related to AI/ML deployments, data pipelines, and Azure infrastructure.
• Security & Compliance: Ensure AI solutions adhere to best practices for data security, privacy, and compliance within the Azure ecosystem.
• Documentation: Create comprehensive documentation for AI solution architectures, deployment procedures, and operational guidelines.
• Stay Current: Keep abreast of the latest advancements in Azure AI services, machine learning technologies, and MLOps trends.

Qualifications

Minimum Qualifications

• Bachelor's or master’s degree in computer science, Engineering, Data Science, or a related quantitative field.
• Relevant years of experience in developing and deploying AI/ML solutions, with a strong focus on Microsoft Azure.
• Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras).
• Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring.
• Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics.
• Solid understanding of software engineering principles, including version control (Git), testing, and code review.
• Experience with containerization technologies (Docker, Kubernetes).
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and interpersonal skills.

Preferred Qualifications/ Skills

• Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate).
• Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service.
• Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics).
• Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).
• Understanding of distributed computing concepts and big data technologies.
• Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP).

Why join Genpact?

• Lead AI-first transformation – Build and scale AI solutions that redefine industries.
• Make an impact – Drive change for global enterprises and solve business challenges that matter.
• Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills.
• Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace.
• Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build.
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress.

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together.