Chief AI Solution Engineering Specialist

EPAM Systems; Mexico; On-site; PHP 11,076,922 - 14,769,230; Full time

Job summary

EPAM Systems seeks 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.

The role focuses on defining AI enablement strategy, deploying AI tools, designing agentic workflows, and coaching engineers to adopt disruptive tooling while partnering with DevOps to

Qualifications

• 5+ years leading AI solution engineering and developer enablement initiatives.
• 5+ years applying AI/ML strategy to software delivery and engineering productivity.
• 7+ years designing and implementing AI agents frameworks in engineering workflows.
• Strong leadership to influence engineering culture and tool adoption.
• Strong ownership to plan, prioritize, and deliver cross-team workflow improvements.
• Hands-on tooling with IDE ecosystems, version control, and CI/CD environments.
• Broad front-end and back-end context to optimize workflows.
• Experience in automating unit tests, docs, and code review assistance.
• Excellent communication and ability to train engineers on AI guidelines.
• Upper-Intermediate English proficiency (B2)

Responsibilities

• Define AI enablement strategy to boost engineering productivity.
• Evaluate and deploy AI-assisted development tools for IDEs, code generation, workflows.
• Design agentic workflows to automate repetitive engineering tasks.
• Automate SDLC processes like unit test generation and documentation.
• Integrate AI-driven checks into CI/CD to catch bugs earlier.
• Create prompt engineering guidelines for safe AI usage.
• Lead workshops to upskill engineers in AI-assisted development.
• Collaborate with DevOps to standardize AI tooling across pipelines.
• Measure velocity and quality gains using metrics and feedback.
• Report outcomes and propose iterative improvements.

Skills

AI strategy

Leadership

Full-stack understanding

DevOps collaboration

Metrics & analytics

Communication & coaching

English proficiency B2

Prompt engineering

AI tooling

Tools

IDE ecosystems

Version control

CI/CD tooling

Job description

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