# OAK Global (via Brightwater) — AI Engineering Lead

| Field | Value |
|---|---|
| **Date found** | 2026-05-23 |
| **Company** | OAK Global (via Brightwater) |
| **Role** | AI Engineering Lead |
| **Location** | DUB HYB |
| **Salary** | Undisclosed |
| **Job URL** | https://www.linkedin.com/jobs/view/4416247146/ |
| **Status** | New |

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## Company Research

| Field | Value |
|---|---|
| **Headquarters** | London, UK |
| **Founded** | — |
| **Employees** | — |
| **LinkedIn** | — |
| **Website** | — |
| **Blog** | — |

Recruiting agency — client is OAK Global (disclosed). Further company research pending.

- **Product:** OAK Global is a Lloyd's of London insurance/reinsurance company (Syndicates 2843 and 1440) building OCEAN — a Capital Exposure and Analytics Network — as a greenfield technology platform.
- **Customers:** Global (re)insurance market; complex risk underwriting across multiple industries.
- **Notable:** Building modern greenfield tech stack from scratch with no legacy constraints; Dublin tech innovation hub.

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## Job Summary

**What they do:** OAK Global is a specialist Lloyd's-market reinsurance company building OCEAN, a greenfield AI-native analytics platform for capital exposure management and underwriting intelligence.

**The role:** First and only AI engineer on OCEAN — a senior IC contributor role with technical leadership responsibility, owning the full AI capability lifecycle from architecture to production.

**Core work:**
- Lead end-to-end design and delivery of AI capabilities for underwriting intelligence and analytical workflows (RAG, agentic orchestration, LLM integration)
- Define AI application architecture and engineering standards; integrate with OAK's data platform
- Harden AI prototypes to production-grade systems; own evaluation, monitoring, and governance

**Stack:** Python · TypeScript · AWS Bedrock · AgentCore · SageMaker · Lambda · MCP · RAG · embeddings · vector search · LangGraph patterns · CI/CD · Terraform

**Work style:** Dublin-based hybrid; frequency not specified. First AI engineer on OCEAN.

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## Score: 63%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 70% | MCP, RAG, agentic workflow design, LLM orchestration, multi-agent patterns. Real agentic engineering for business-critical underwriting workflows. |
| Tech fit (25%) | 75% | Python, MCP, RAG, embeddings, AWS Bedrock/AgentCore, LangGraph patterns — strong stack overlap with Luca's profile. |
| Remote fit (25%) | 50% | Hybrid Dublin; on-site frequency not specified. Likely 2-3 days/week given "Dublin-based position" framing. |
| Company culture fit (15%) | 40% | Lloyd's insurance/reinsurance — traditional financial services sector. Greenfield tech build is positive, but core domain is conservative enterprise. |
| IC/leadership balance (10%) | 80% | "Senior contributor role with technical leadership responsibility" — first AI engineer with full ownership; no people management. |
| **Final (weighted)** | **63%** | |

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## Strengths

- Greenfield build with full ownership — first AI engineer on OCEAN, shapes architecture from day one
- Strong agentic/RAG/MCP stack match; AWS Bedrock and AgentCore are production-focused
- No people management — pure IC with technical leadership
- "Highly competitive remuneration package" (Brightwater exclusive mandate suggests senior-level intent)
- Principal/Lead-level scope with IC focus

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## Weaknesses & Risks

- ⚠️ Lead role — "AI Engineering Lead" title
- Insurance/reinsurance domain — traditional enterprise, low AI-native culture signal
- Salary undisclosed; "highly competitive" is subjective
- Hybrid Dublin without specified frequency — needs clarification before applying
- Company is not well-known; limited public information about OAK Global tech culture

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## Suggestions

- Clarify hybrid frequency before applying (DUB HYB could be 1 day/month or 3 days/week)
- Contact Charlie Bigger at Brightwater directly (c.bigger@brightwater.ie) for salary range
- Position Fenergo regulatory/compliance AI pipeline as direct parallel (regulated-domain AI engineering)
- Emphasize first-AI-engineer experience: Compliance & Risks, Cybersecurity NDA roles all involved building AI capabilities from scratch

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |