Principal AI Engineer | €650/day

**Principal AI Engineer | €650/day **

• **Own the next-generation AI platform **

• **Build agentic AI at scale **

• Shape the future of AI engineering

The Opportunity

A Global Reinsurance company is investing heavily in the next phase of its AI transformation, moving beyond experimentation to build AI capabilities that can operate reliably at enterprise scale.

With agentic AI becoming a core part of its technology strategy, this is an opportunity to join at a pivotal point and help turn ambitious AI concepts into production-ready platforms that deliver genuine business impact.

You’ll become the most senior engineering voice within the AI function and the technical owner of the agent platform, setting the architecture and engineering standards for how agentic and conventional ML systems are built, deployed, monitored and operated.

Why You’ll Love This Role

• Own the architecture: Become the technical authority shaping the organisation’s entire AI and agent platform.

• Build at the cutting edge: Work hands-on with agentic AI, A2A, LLMOps and modern cloud infrastructure.

• Make your mark: Set reusable engineering standards and patterns that will influence AI delivery

• Lead from the front: Collaborate with senior engineers while remaining close to the code, architecture and production environment.

• Solve the hard problems: Balance greenfield innovation with complex enterprise systems, legacy technology and real-world operational constraints.

What You’ll Do

• Architect and evolve the production AI platform, covering deployment, reliability, observability and lifecycle management across agentic and conventional ML systems.

• Engineer and standardise CI/CD, environment management and release processes for ML models and agentic services.

• Design and integrate MCP servers and A2A-based agent communication to enable reliable, scalable agent orchestration.

• Drive production excellence through MLOps/LLMOps, observability, evaluation, monitoring, alerting, drift detection and rollback strategies.

• Lead technical direction across the AI engineering function and partner with data science leadership on major architectural decisions.

Skills / Experience:

• 8+ years of Machine Learning experience using Python

• Prior experience working in a fast-paced, greenfield environment

• Experience with A2A (Agent 2 Agent Protocol)

• Azure / AWS experience

For more information, contact [email protected]
For additional opportunities, visit the Archer Recruitment website.