Senior AI Engineer

Our client is looking for a Senior AI Engineer who can design, build and bring to production enterprise-grade AI solutions across processes in their operations for their Clients.

You will play a key role in developing scalable (Gen) AI and multi-agent systems and products, leveraging latest technologies, and applying strong software engineering skills combined with a deep understanding of data and MLOps practices to ensure robust, maintainable, and highly available systems.

You will help empower other employees by transforming trusted data into real-time insights and intelligent action, aligning with our goals of Process Simplification, Automation, and Business AI specifically in one of the following key areas: Finance, Spend, People Solutions and Analytics.

In this role, you will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems. You’ll design and implement AI solutions, setup and develop big data pipelines and ensure high standards of scalability, observability and compliance. You’ll thrive in an agile, collaborative environment that values continuous learning, engineering excellence and innovation, helping shape the next generation of enterprise AI solutions.

Responsibilities:

• Design, develop and deploy AI and (Gen)AI services and solutions from proof of concept to full enterprise production

• Build and maintain data pipelines and model deployment workflows for scalable, secure AI systems

• Implement CI/CD and MLOps practices to automate model training, testing and deployment

• Collaborate with Product Owners and data scientists to translate requirements into technical specifications

• Develop and integrate multi-agent AI and LLM-based products and solutions

• Ensure reliability, observability and compliance of deployed AI solutions

• Lead the AI maintenance & Operations team (ca. 20-25% of your time)

Skills needed:

• Degree in computer science or a similar field

• Advanced coding skills in Python (preferred) or Java, with solid understanding of software engineering principles

• Experience with backend frameworks (FastAPI, Flask, Django) and microservice architectures

• Familiarity with containerization and orchestration tools (Docker, Kubernetes, GitHub Actions, MLFlow)

• Experience implementing CI/CD and MLOps pipelines in cloud environments (Azure

ML, Databricks, AWS)

• Hands-on experience with data ETL, APIs and model deployment workflows

• Knowledge of distributed systems and data platforms for big data

• Understanding of Agile, SAFe methodologies and collaborative engineering practices

• Fluent English and a proactive, problem solving mindset

Nice to have (not a must):

• Experience with multi-agent or generative AI frameworks (e.g., LangChain, CrewAI)

• Familiarity with SAP AI Core, SAP BTP

• Experience with agile frameworks (e.g., Scrum, SAFe) and project management tools (e.g., Jira)

For more information – please apply for this job or send your CV directly to [email protected].

Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.