clearbank - AI Enablement Engineer
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Requirements
• · Strong background in software engineering, platform engineering, DevEx, or DevOps. • · Hands-on experience using AI-assisted development tools in real engineering environments. • · Experience collaborating with delivery teams to improve practices and outcomes. • · Ability to assess tools and approaches based on evidence, practicality, and impact. • · Strong communication skills, able to explain technical concepts clearly to engineers and stakeholders. • · Outcome-driven, curious, and pragmatic in approach. • · Comfortable working across ambiguity and change. • · Collaborative and empathetic, with a genuine interest in enabling others to succeed. • · Exposure to CI/CD pipelines, internal developer platforms, or SDLC tooling is desirable. • · Familiarity with engineering productivity or quality metrics is beneficial. • · Exposure to governance, security, or risk stakeholders in a regulated environment is advantageous.
Responsibilities
• · Support the effective and responsible use of AI across ClearBank’s software engineering teams. • · Work day-to-day with engineers to guide how AI can be applied within real delivery workflows. • · Help teams embed AI into the SDLC in ways that improve productivity, quality, and developer experience. • · Contribute to practical guidance, examples, and playbooks that help teams adopt AI with confidence. • · Partner with stakeholders to ensure adoption is evidence-based and aligned to engineering outcomes. • · Operate with a pragmatic mindset that supports progress while meeting regulatory and risk expectations. • · Use and evaluate AI tooling used in software engineering, including copilots, assistants, and workflow-integrated capabilities. • · Collaborate directly with engineering teams to improve how AI is used in coding, testing, review, debugging, and documentation. • · Share effective patterns, techniques, and examples that engineers can adopt in their day-to-day work. • · Identify friction points and opportunities for improvement in current engineering workflows. • · Support the rollout of new AI tools, techniques, or approaches into the engineering community. • · Contribute to defining and tracking meaningful success measures such as adoption signals, developer experience indicators, and quality outcomes. • · Work with Security, Model Risk, and other partners to ensure tooling and usage align with ClearBank’s governance expectations. • · Occasionally build or extend lightweight tooling, automation, or workflow enhancements needed to support AI adoption.
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