Claude Transformation Engineer

Required Qualifications

• 8+ years of overall experience, including at least 3+ years in software engineering, solutions engineering, or a technical transformation/automation role, ideally within payments, fintech, banking, or another regulated financial environment.
• Hands-on experience building with LLMs in production - direct experience with the Claude API (or comparable experience with GPT/Gemini APIs and a strong willingness to specialize in Claude) including tool use, structured outputs, and context/prompt engineering.
• A demonstrated track record of scaling technical tool adoption across a large organization. This matters more than payments domain knowledge. Evidence of designing enablement programmes, champion networks, training curricula, or adoption metrics, not just shipping one tool for one team.
• Strong software engineering fundamentals: proficiency in Python and/or TypeScript/Node.js, REST/GraphQL API design, and experience integrating third-party APIs into production systems.
• Practical understanding of data security and compliance constraints relevant to financial services (PCI DSS, data minimization, access controls, audit logging).
• Excellent stakeholder communication - able to explain AI capabilities and limits clearly to both engineers and non-technical operations/risk stakeholders.

Preferred Qualifications

• Experience running an internal AI adoption or AI Center of Excellence function at scale, ideally with a visible track record similar to enablement-led (rather than build-led) transformation programmes.
• 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.