AI Engineering Lead

AI Engineering Lead

Brightwater is delighted to be engaged by Oak Global as their exclusive recruitment partner for their exciting technology and innovation greenfield team build out here in Dublin.

About the Company

OAK Global is a leading risk partner, embracing the global reach afforded through operating in the Lloyd’s market. Underwriting through Lloyd’s Syndicates 2843 and 1440.

Headquartered in London, OAK Global operates across key global markets, addressing complex risks with expertise across diverse industries. The company prides itself on fostering trusted partnerships, leveraging advanced analytics and underwriting expertise, and maintaining financial stability.

OAK Global is shaping the future of (re)insurance with innovation, reliability, and a forward-looking vision.

About the Role

OAK Global offers a rare opportunity to work within a true greenfield environment. Free from legacy systems, complex migrations, or transformation constraints, we are building a modern, best-in-class technology architecture designed to deliver exceptional business value from day one.

This role offers the opportunity to play a foundational role in defining and building AI capabilities across OCEAN, OAK Global’s Capital Exposure and Analytics Network.

This is a senior contributor role with technical leadership responsibility. As the first AI engineer working on OCEAN, you will play a key role in shaping the architecture, implementation patterns and engineering standards for AI-enabled capabilities across it.

Key Responsibilities:

AI Application Development

• Lead end-to-end design and delivery of proprietary AI capabilities and features that enhance underwriting intelligence, operational decision-making and analytical workflows
• Own the technical lifecycle of AI capabilities, including evaluation, deployment, monitoring, iteration and continuous improvement
• Design AI application architectures that enable long-term integration with OAK’s data platform and OCEAN
• Contribute to strategic technology initiatives across the company

AI Evaluation & Production Readiness

• Translate complex requirements into reliable AI-enabled software with clear controls, testing and operational ownership
• Harden AI prototypes and internal tools into production-grade components that are reliable, resilient, secure and auditable
• Help to translate research outputs and business hypotheses into measurable experiments, prototypes and implementation plans

Technical Leadership

• Provide technical leadership through architecture decisions, engineering judgement and high-quality implementation
• Contribute technical feasibility, risk and implementation assessments to AI opportunity prioritisation
• Provide technical guidance and mentorship to engineers and analytical teams working on AI-enabled capabilities

What We’re Looking For:

Experience & Attributes:

• Lead AI engineering experience (Lead/Staff AI Engineer or ML Engineer or similar)
• Demonstratable experience delivering production-grade AI / ML applications
• Experience designing AI application architectures and integrating internal data platforms, analytical models, software applications and third-party model providers
• Experience deploying, monitoring and supporting production AI / ML systems, including model evaluation, batch or real-time inference and operational support
• MSc/PhD in Computer Science, Engineering, Mathematics, AI/ML or a related discipline, or equivalent practical experience

Technical Skills:

• Programming
• Python
• TypeScript
• AI / ML / LLM Engineering
• Strong experience of production ML systems including model evaluation, batch or real-time inference and monitoring
• Standard integration/orchestration protocols e.g. LLM APIs and MCP for connecting AI Agents to internal and external tooling
• RAG, embeddings and vector search
• Agentic workflow design, model evaluation and regression testing
• AI guardrails, human-in-the-loop review and responsible AI controls
• Cloud and Infrastructure
• Familiarity with AWS services including Bedrock, AgentCore, SageMaker, Lambda, Step Functions, EventBridge, S3, DynamoDB
• Graph-oriented, retrieval-based or agentic system architecture patterns on AWS or equivalent
• CI/CD pipelines
• Terraform/Terraform Code
• Software Engineering
• Git / GitHub
• Python service development, REST API design and implementation
• Observability, reliability, maintainability, and secure scalable engineering practices
• Strong practical use of AI coding tools such as Codex, with sound judgement around quality, review and production readiness

What You’ll Build:

• Foundational AI capabilities across OCEAN that help to define how AI is embedded into underwriting and analytics decision-making across the business
• Reliable, production-grade AI systems for retrieval, orchestration, reasoning and workflow automation, within complex, high-trust reinsurance environments
• Evaluation, monitoring and governance capabilities supporting traceable, observable and operationally controlled deployment of AI within business-critical workflows
• Reusable engineering patterns, service interfaces and architectural foundations supporting the long-term evolution of AI-native capabilities across OCEAN
• High-quality engineering standards for AI-enabled systems

Remuneration:

• Highly competitive remuneration package

Location

• Dublin-based position

Contact

Brightwater has been exclusively engaged to lead this search. For a confidential discussion regarding this AI Engineering Lead position, please apply in confidence and contact Charlie Bigger at [email protected] | DDI: 01 592 7867.