What you’ll do

• Collaborate on complex technical problems from discovery through implementation, delivering h igh quality , maintainable solutions.
• Break down requirements into actionable engineering tasks; create clarity for delivery squads and stakeholders.
• Run h ands-on experiments with emerging AI/ML and GenAI tooling; design evaluation frameworks, measure outcomes, and provide evidence based recommendations.
• Build resilient, reusable components, SDKs, and service integrations that slot into pipelines, IDEs, and developer platforms.
• Contribute to architectural discussions; propose improvements and r ole model engineering standards and best practices.
• Maintain h igh quality codebases via active code reviews, robust testing, and clear documentation for knowledge sharing.
• Work c ross functionally to align roadmaps, manage dependencies, and land changes with minimal disruption.
• Mentor junior engineers and uplift AI literacy across squads; contribute to communities of practice