Chief AI Solution Engineering Specialist

We are seeking a Chief-level AI Solution Engineering leader to embed AI into everyday software development workflows and tooling across front-end and back-end teams. You will evaluate and integrate AI-assisted engineering practices, automate SDLC tasks, and measure impact on developer velocity and quality—apply now to help shape how teams build software with AI.

Define AI enablement strategy to improve engineering productivity across front-end and back-end teams Evaluate and deploy AI-assisted development tools for IDEs, code generation, and workflow acceleration Design agentic workflows to automate repetitive engineering tasks and reduce developer friction Automate SDLC processes such as unit test generation, documentation generation, and PR summaries Integrate AI-driven checks into CI/CD pipelines to detect bugs, vulnerabilities, and structural issues earlier Create prompt engineering guidelines and best practices for safe, effective AI usage in development Lead workshops and coaching sessions to upskill engineers on AI-assisted software development Collaborate with DevOps to standardize AI tooling across pipelines and developer environments Measure developer velocity and efficiency gains using delivery metrics and team feedback Report outcomes and recommend iterative improvements based on data and engineering needs 5+ years of experience leading AI solution engineering and developer enablement initiatives 5+ years of experience applying AI & ML strategy to software delivery and engineering productivity 7+ years of experience designing and implementing AI agents frameworks in engineering workflows Strong leadership skills to influence engineering culture and guide adoption of disruptive tooling Strong project ownership skills to plan, prioritize, and deliver cross-team workflow improvements Hands-on tooling expertise with IDE ecosystems, version control, and CI/CD environments Strong full-stack context across front-end frameworks and back-end systems to optimize workflows Strong process automation skills for unit tests, documentation, and code review assistance Strong analytical skills to define metrics and quantify productivity, quality, and delivery impact Strong communication and coaching skills to train engineers and publish practical guidelines Upper-Intermediate English proficiency (B2) Hands-on experience with LLM APIs Experience with RAG setups Experience building custom AI agents