Role : Claude Transformation Engineer

Experience : 6 - 10 years

Engineering, Data, Security, and IT Acceleration :

- Own the technical depth of the Claude Code rollout in Technology : extend the Paved Paths compliance model beyond its current waves, working with the Technology Leadership team.

- Partner with domain engineering leads to embed Claude into real delivery work and day-to-day engineering workflows.

- Work with the Data and AI team to build retrieval and agentic patterns that connect Claude to internal systems and documentation, on secure, permissioned access.

- Work with the Security team on tooling integration points, including Snyk and Arctic Wolf workflows, and on the security posture of any Claude-connected system.

- Work with Corporate IT to find and ship high-value internal automation : provisioning, ticketing, internal knowledge retrieval.

- Build and maintain reusable components : prompt libraries, skills, tool definitions, MCP connectors, so other teams build on a shared foundation.

Technology-Wide Adoption Enablement :

- Design and run a champions network that reaches every function.

- Build a shared prompt and skill library open to the entire org, with a low bar to contribute and a clear ownership model.

- Run regular office hours and structured training, calibrated to the audience.

- Own the intake path for "can Claude do this?" requests across the team.

- Track and report adoption metrics that mean something : usage depth, time saved on validated workflows.

Governance Interface :

- Partner with Security and others on Paved Paths compliance, ISO 42001, and EU AI Act registration requirements.

- Feed architecturally significant Claude integrations into the Architecture Review Board.

- Partner with Security and Compliance on data exposure boundaries.

- Maintain documentation and audit trails for anything this role owns.

Required Qualifications :

- 6+ years of overall experience, including at least 3+ years in software engineering, solutions engineering, or a technical transformation/automation role.

- Hands-on experience building with LLMs in production - direct experience with the Claude API (or comparable experience with GPT/Gemini APIs).

- A demonstrated track record of scaling technical tool adoption across a large organization.

- Strong software engineering fundamentals : proficiency in Python and/or TypeScript/Node.js, REST/GraphQL API design.

- Practical understanding of data security and compliance constraints relevant to financial services (PCI DSS, data minimization, access controls, audit logging).

- Excellent stakeholder communication.

Preferred Qualifications :

- Experience running an internal AI adoption or AI Center of Excellence function at scale.

- Experience with agentic workflows, RAG architectures, or MCP (Model Context Protocol) integrations.

- Familiarity with Claude Code, Claude in various IDEs, or other AI-assisted development tooling.

- Experience with evaluation frameworks for LLM output quality, safety, and reliability.

- Familiarity with commit-data-driven visibility into engineering delivery.