AI Developer Coach

About the role

We are looking for an **AI Developer Coach**—a seasoned software engineer with strong coaching and mentoring instincts who can embed directly with engineering teams and guide them through process change. This is not a role focused on building AI products or architecting AI systems. The primary focus — especially at the outset — is hands\-on coaching: working side\-by\-side with legacy engineers on the core engineering team to help them adopt new development processes in a practical, sustainable way.

The ideal candidate leads with empathy and patience, earns trust with experienced engineers, and knows how to make change stick through relationship\-building rather than top\-down directives. Over time, this role will expand to include running Playwright\-driven agentic sessions in support of internal client onboarding workflows.

You should be comfortable working closely with cross\-functional teams — including engineers, TPMs, PMs, and QA — guiding them through process improvements, introducing pragmatic AI usage, and driving measurable impact.

New Role – The recruiting efforts for this position are intended to fill an existing vacancy for a new position.

Req\#: 1061619991

*The recruiting efforts for this position are intended to fill an existing vacancy for a new position.*

**Responsibilities**

* Embed directly with the core engineering team and provide dedicated, hands\-on coaching through new development processes and AI\-assisted workflows * Serve as the primary coaching resource for legacy engineers, complementing existing internal enablement sessions currently running with TPMs * Build trust and psychological safety with senior and experienced engineers, guiding adoption through collaboration rather than mandates * Coach teams on adopting AI tools (e.g., code generation, testing, documentation, analysis) in a practical, sustainable, and outcome\-driven way * Partner with engineering teams to embed AI practices across the full SDLC, from initial requirements to production support * Drive improvements in engineering productivity, quality, and delivery through thoughtful and pragmatic AI integration * Identify where AI adds value and where it does not, ensuring a balanced, outcome\-driven adoption strategy * Collaborate with TPMs, PMs, and QA to align AI adoption with delivery goals and business outcomes * Promote best practices for AI\-assisted development, including reusability, consistency, and governance * Help define and track metrics to measure the practical impact of coaching and AI tool adoption * Transition into running Playwright\-based sessions for agentic solutions supporting internal client onboarding workflows as future scope

**Requirements**

* Strong software engineering background with broad technical depth across modern development principles (e.g., backend, frontend, testing, DevOps) rather than narrow specialization * Demonstrated coaching or mentoring experience, with a proven ability to guide legacy engineers and teams through significant process change * Exceptional interpersonal and communication skills, with a focus on building psychological safety among experienced technical staff * Solid understanding of the full SDLC, including design, development, testing, release, and maintenance * Practical experience using AI tools (e.g., GitHub Copilot, Gemini, or similar) in day\-to\-day software development workflows * Solid understanding of Playwright, with the ability to build or run agentic and automation workflows * Proven ability to work seamlessly across multiple roles (engineering, QA, product, TPM) within a delivery team * Experience introducing or scaling process improvements and metrics\-driven engineering growth within teams * Strong judgment on when and how AI should be applied, focusing on real value rather than hype

**Nice to have**

* Experience working in consulting, enablement, or embedded coaching roles * Familiarity with structured developer enablement methodologies * Exposure to Agile/Scrum and engineering excellence practices * Experience working in large\-scale or distributed team environments

**We offer**

* Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid) * Life and AD\&D Insurance (Company Paid) * Employee Assistance Program (Company Paid) * Telehealth (Company Paid) * Short\-term Disability (Company Paid) * Long\-Term Disability * Paid Time Off (including vacation and sick days) * Registered Retirement Savings Plan (RRSP) with Company match * Maternity/Parental/Adoption Leave Top\-up * Employee Stock Purchase Program * Critical Illness Insurance * Employee Discounts * Unlimited access to LinkedIn learning solutions

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, 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.

Engineer the Future with a Career at EPAM

EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA WFAHRCA@epam.com if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi\-Year Access.

An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human\-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non\-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.