• Help internal and external product engineering organizations improve cost, quality, and time-to-market by advancing engineering practices, automation, and AI-assisted capabilities
• Lead engineering transformation engagements, including maturity assessments, roadmap definition, and adoption of modern SDLC and DevOps practices
• Elicit relevant insights through interviews, surveys, and system data analysis, increasingly using analytics and AI tools to reveal hidden patterns and improvement opportunities
• Ideate and socialize practical solutions through collaborative workshops with engineering and executive stakeholders
• Tailor and deliver clear, outcome-focused messages for executives on how to execute change across people, process, and technology
• Contribute to our consulting practice by designing new service offerings, improving methodologies, and embedding AI and automation insights into our frameworks where they provide measurable value
• Conduct research within your domain expertise—engineering, operations, architecture, data, or product management—to inform future transformation approaches
• Publish and present thought leadership within and beyond EPAM on engineering transformation and responsible use of AI in software delivery

Participate in pre-sales and sales activities: RFP responses, executive meetings, proposal preparation, and SOW development

• Possesses advanced graduate degree: master's degree, MBA, PhD, etc
• Deep understanding of the software development lifecycle and awareness of how AI-assisted development is reshaping engineering productivity and quality
• Experienced with a range of software development methodologies (Scrum, XP, Kanban, SAFe) and able to tailor them to different organizational contexts
• Practical experience leading executive-level workshops and articulating technical transformation in business terms
• Data-driven strategist who grounds decisions in quantitative analysis and can use emerging analytics or AI tools to support insight generation
• Experience in business development or pre-sales, including crafting proposals and presenting technological solutions to clients
• Excellent verbal and written communication skills, with the ability to explain complex engineering and AI concepts clearly to non-technical audiences

Strong collaborator and team player who enjoys mentoring others and shaping EPAM’s evolving approach to intelligent engineering transformation

• Has 7+ years of software industry experience in one of the following functions: Engineering, Infrastructure, Quality Assurance, Architecture, Data Science

Fluent in modern engineering best practices—test-driven development, code review, continuous integration, trunk-based development, feature toggling, test automation, infrastructure as code, and CI/CD design

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability (Company Provided)
• Life and AD&D Insurance (Company Provided)
• Employee Assistance Program
• Unlimited access to LinkedIn learning solutions
• Matched 401(k) Retirement Savings Plan
• Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
• Paid Holidays - nine (9) total per year
• Legal Plan and Identity Theft Protection
• Accident Insurance
• Employee Discounts
• Pet Insurance
• Employee Stock Purchase Program
• If otherwise eligible, participation in the discretionary annual bonus program

If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program