Back to SearchChief AI Solution Engineering Specialist
Hybrid in Mexico: Guadalajara
AI Solution Engineering& 3 others
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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.
Responsibilities
- 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
Requirements
- 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)
Nice to have
- Hands-on experience with LLM APIs
- Experience with RAG setups
- Experience building custom AI agents