Chief AI Solution Engineering Specialist

EPAM Systems; Región Centro; Presencial; MXN 3.000.000 - 6.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Professional development

Global career opportunities

Volunteer opportunities

EPAM Employee Groups

Descripción de la vacante

EPAM Systems in Mexico's Jalisco region seeks a Chief-level AI Solution Engineering leader to embed AI into software development workflows and measure impact on velocity and quality.

You will drive AI enablement across front-end and back-end teams, deploy AI-assisted tools, and design agentic workflows to automate SDLC tasks while mentoring engineers and aligning with DevOps on standardized AI tooling.

Formación

• 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).

Responsabilidades

• 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.

Conocimientos

AI leadership

Developer enablement

AI/ML strategy

AI agents frameworks

Leadership

Project ownership

Tooling expertise

Full-stack context

Process automation

Data-driven metrics

Communication & coaching

English proficiency

Herramientas

IDE ecosystems

Version control

CI/CD environments

LLM APIs

RAG setups

AI agents tooling

Descripción del empleo

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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.

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

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programsPaid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.