Responsibilities Participate in codebase assessments to evaluate the Bank s existing technology stack, development workflows, and AI readiness <--- multi programming languages, would be good to have, python and Java to be able to look at code base
Configure and maintain squad development environments, including AI coding tools, context files, and agent configurations within the Bank s infrastructure
Set up and operate governance tooling including PromptBOM logging, SAST rulesets for AI-generated code, and secrets scanning pipelines python
Embed daily within Bank engineering squads during pilot execution reviewing AI-flagged pull requests, pair-programming, and coaching developers on AI-assisted workflows
Build and refine custom agents, prompt libraries, and steering files based on pilot learnings and squad feedback
Document ways of working, training materials, and the AI-SDLC playbook content in collaboration with the AI Architect
Transition from embedded driver to coaching role during the Optimization & Expansion phase, guiding new squads through onboarding
Harden the agent library and toolchain configurations for production-readiness during capability transfer
Support the train-the-trainer program by teaching Bank engineers to independently configure, maintain, and extend the AI tooling
Candidate Requirements 5+ years of software engineering experience across all technologies and back-end technologies
Hands-on experience with AI coding assistants (e.g., GitHub Copilot, Claude Code, Cursor, Amazon Q Developer) in day-to-day development workflows
Strong proficiency in modern web frameworks, RESTful APIs, and at least one major cloud platform (AWS, Azure, or Google Cloud Platform)
Solid understanding of CI/CD pipelines, Git workflows, pull request reviews, and automated testing practices
Experience with static analysis tools (SAST), code quality gates, and security scanning in enterprise development environments
Ability to write clear technical documentation, training materials, and process guides
Bachelor s degree in Computer Science, Software Engineering, or a related field
Additional Skills
Experience with prompt engineering or building custom AI agents/skills is a plus
Familiarity with developer productivity measurement frameworks (e.g., SPACE, DORA metrics) is a plus
Prior experience working on client-embedded or forward-deployed engineering engagements is highly desirable
Knowledge of compliance and governance requirements in regulated industries (financial services, government) is a plus
Experience mentoring or training junior developers or conducting technical workshops is a plus
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