We are seeking an
AI Consultant
to join the digital transformation journey of a leading restaurant and brand experience operator in Latin America and Europe, managing iconic portfolios such as Starbucks. In this role, you will implement, optimize, and scale AI-driven Software Development Life Cycle tooling and developer productivity platforms across the client's engineering ecosystem, accelerating product delivery, design reviews, and automated code generation while ensuring enterprise security compliance.
Design and execute the strategy for integrating AI-driven development, code review, and documentation tools into the existing engineering toolchain Conduct discovery workshops and capability assessments to evaluate current engineering bottlenecks and define tailored AI-assisted SDLC workflows Establish governance models, security guidelines, and compliance guardrails for the use of Generative AI in software development, including proprietary code handling, IP protection, and vulnerability scanning Train engineering squads and lead enablement sessions on best practices for prompt engineering, secure coding with AI, and automated pull-request workflows Balance aggressive developer productivity gains with strict enterprise security, data privacy,



and intellectual property requirements Overcome developer resistance to new workflows through effective change management, hands-on enablement, and measurable value demonstration Collaborate with cross-functional engineering, DevOps, and delivery squads, working closely with client tech leaders, software engineers, and integral architecture teams Occasionally travel for workshops, alignment sessions, and technical enablement with client leadership 2+ years of experience in software engineering, DevOps, or technical consulting, with a strong focus on developer tooling, CI/CD automation, and modern engineering practices Expertise in Generative AI tools for software development such as GitHub Copilot, Amazon Q, and Cursor Understanding of LLM integration patterns and modern SDLC practices including CI/CD and DevOps Background in software engineering, covering full-stack or backend development and automated testing Demonstrated hands-on experience deploying and scaling AI-assisted development tools within enterprise environments Familiarity with AWS cloud infrastructure and automated PR review frameworks Advanced or Intermediate B2 level of English Professional or Native fluency in Spanish Certifications in Cloud Platforms (AWS), Agile/DevOps practices, or relevant AI/ML technologies Experience working within retail, e-commerce, or QSR engineering ecosystems

📌 Ai Consultant (México)
🏢 Epam Systems
📍 México