Senior AI Engineering Consultant: Generative AI & MLOps on Cloud

Capgemini; Glasgow; On-site; GBP 70,000 - 100,000; Full time

Job summary

Capgemini Invent in Glasgow is seeking an AI Engineering Consultant or Senior Consultant to design, build, and operationalize advanced AI systems at enterprise scale. You will bridge AI prototypes with data and AI solutions in business operations.

You will lead the design of scalable MLOps, CI/CD, and governance, while collaborating with Product Managers and Data Scientists to deliver measurable business value and responsible AI practices.

Qualifications

• Experience in a major consulting firm or industry with a consulting mindset and matrixed organization experience.
• Experience working with client sponsors to collaboratively design requirements and build solutions.
• Proven track record in designing and implementing MLOps strategies and delivering AI/ML solutions at scale.
• Deep understanding of Generative AI and Agentic AI, including RAG pipelines and orchestration frameworks.
• Experience designing cloud-native data and AI architectures across Azure, GCP, AWS, and/or Databricks.

Responsibilities

• Assess and implement a robust MLOps framework, governance, and best practices.
• Design and deliver end-to-end AI/ML systems from data prep to deployment and monitoring.
• Utilize Generative AI and Agentic Frameworks (e.g., ADK, Langgraph, Microsoft Agent) in solutions.
• Translate AI use cases into data/AI architectures using suitable cloud services.
• Architect and implement Generative AI solutions with RAG pipelines across Azure, GCP, AWS.
• Embed safety and assurance throughout the AI lifecycle for ethical, explainable results.
• Translate business requirements into technical blueprints and guide multidisciplinary teams.
• Collaborate with Product Managers, Data Scientists, and stakeholders to drive business value.

Job description

Capgemini Invent in Glasgow is seeking an AI Engineering Consultant or Senior Consultant to design, build, and operationalize advanced AI systems at enterprise scale. You will bridge AI prototypes with data and AI solutions in business operations.

You will lead the design of scalable MLOps, CI/CD, and governance, while collaborating with Product Managers and Data Scientists to deliver measurable business value and responsible AI practices.