We are seeking a Lead AI Solution Engineer to embed AI into everyday engineering workflows and tooling to boost developer productivity across front-end and back-end teams. You will evaluate and deploy AI-assisted development approaches, automate lifecycle tasks, and coach teams on best practices. Apply to help accelerate delivery and reduce friction.
Responsibilities
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Define an AI enablement roadmap that improves engineering velocity across front-end and back-end teams
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Evaluate and deploy AI-assisted development tools for IDEs, code generation, and code understanding
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Design agentic workflows that automate repetitive engineering tasks and reduce developer friction
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Automate unit test generation, documentation creation, and pull request summarization using AI
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Integrate AI-driven analysis, linting, and vulnerability detection into CI/CD pipelines
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Establish prompt engineering guidelines and safe-use best practices for developers
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Coach engineers through workshops and office hours to drive effective AI adoption
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Partner with DevOps to operationalize AI tooling within existing pipelines and environments
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Measure impact using delivery metrics and qualitative feedback, then iterate on solutions
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Document standards, playbooks, and reusable workflows that scale across teams
Requirements
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5+ years of full-stack engineering experience focused on developer productivity
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Lead-level experience driving AI enablement or engineering optimization initiatives
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Proven leadership skills mentoring engineers and guiding adoption of new tooling
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Strong project execution skills delivering workflow and automation improvements end to end
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Hands-on AI & ML Strategy skills for practical engineering enablement
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Hands-on AI Agents Frameworks experience to automate development lifecycle tasks
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AI DIAL experience integrating AI capabilities into developer tools and processes
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Strong CI/CD knowledge to integrate automated checks and analysis into pipelines
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Strong IDE and version control skills with modern ecosystems and Git
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Strong coaching and stakeholder communication skills across engineering disciplines
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Upper-Intermediate English proficiency (B2) for collaboration and documentation
Nice to have
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Hands-on experience with LLM APIs and model providers
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Experience building RAG pipelines or fine-tuning workflows
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Familiarity with React, Next.js, and TypeScript contexts
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Familiarity with microservices, APIs, and database-driven back-end systems
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Experience with VS Code or JetBrains plugin ecosystems
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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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.
