AWS AI Engineer

AWS AI Engineer Overview

Join Capgemini’s Cloud & Custom Applications (C&CA) practice as an AWS AI Engineer, where you will assist clients in transforming innovative ideas into scalable business outcomes. In this role, you will design and deliver AI-powered solutions that help organizations unlock value from data, enhance decision-making, and build capabilities for the future. You will work collaboratively with multidisciplinary teams to bring intelligent solutions into production while promoting responsible AI adoption and operational excellence.

Key Responsibilities:

• Design, build, and implement production-ready AI and machine learning solutions that deliver measurable business value.
• Integrate generative AI capabilities, knowledge retrieval methods, and intelligent automation into robust cloud-based services.
• Develop scalable and secure data pipelines to ensure reliable access to high-quality data for AI-driven outcomes.
• Ensure that AI solutions are resilient, maintainable, and aligned with business, operational, and user requirements.
• Automate delivery processes and establish effective operational practices to support reliability, scalability, and continuous improvement.
• Monitor the performance of solutions and proactively identify opportunities for enhancing accuracy, efficiency, and user experience.
• Embed security, privacy, governance, and compliance principles throughout the solution lifecycle.
• Collaborate with architects, engineers, data specialists, and stakeholders to shape the direction of solutions and achieve successful outcomes.
• Promote AI fluency and knowledge sharing across teams, contributing to the development of a future-ready workforce.
• Act as a trusted advisor to clients and colleagues, helping them understand the potential and responsible use of AI technologies.

Must-Have Skills:

• Demonstrated experience in designing, building, and deploying AI and machine learning solutions within enterprise environments.
• Strong understanding of the complete AI lifecycle, from data preparation to deployment, monitoring, and optimization.
• Experience in delivering scalable cloud-based solutions and translating business needs into technical outcomes.
• Knowledge of generative AI concepts, large language models, retrieval-based approaches, and AI-powered business solutions.
• Familiarity with secure software engineering practices, data governance, privacy, and compliance best practices.
• Strong analytical and problem-solving skills, with the ability to balance innovation with practical delivery.
• Excellent stakeholder management and communication skills, capable of explaining complex concepts to diverse audiences.
• Experience working in agile, collaborative, and multidisciplinary delivery teams.
• Commitment to continuous learning, AI fluency, and contributing to a future-ready workforce.

Benefits:

• Access to numerous training and development opportunities, including think tanks and hackathons.
• Access to a library of 250,000 courses and various external certifications from organizations like AWS and Microsoft.
• Support for employee wellbeing through initiatives like trained Mental Health Champions and wellbeing apps.
• Recognition as one of the World’s Most Ethical Companies® for 13 consecutive years.

This position operates on a hybrid working model, requiring a blend of working from company offices, client sites, and home. Note that full-time remote work is not permitted.

Degree Requirement: Not Specified

Visa Sponsorship May be