AI Solution Architect
Primary stack
Nice to have's
Job description
About the Position
We are building an AI Solution Architect to boost Front-End and Back-End developer productivity through practical AI adoption. You will assess engineering workflows and embed AI across daily development tools, processes, and pipelines, experimenting with generative AI, code assistants, automated testing generators, and agentic workflows. Help us reduce developer friction, automate routine work, and speed delivery-apply now.
Responsibilities
- Research, assess, and roll out AI-assisted tools such as GitHub Copilot, Cursor, specialized code LLMs, and internal AI utilities for both front-end and back-end developers
- Design and automate software lifecycle workflows with AI, including unit test generation, documentation generation, schema translations, pull-request summaries, and code-review assistance
- Collaborate with DevOps to embed AI-driven analysis plus automated bug detection and linting directly into CI/CD pipelines to surface vulnerabilities and structural issues earlier
- Serve as an internal consultant and evangelist by running workshops, producing prompt engineering guidelines for software developers, and defining best practices for safe, ethical, and effective AI usage
- Track, quantify, and communicate developer velocity and efficiency improvements from AI initiatives, including lead time, coding speed, and team sentiment shifts
- Guide engineering culture change by introducing disruptive technologies and coaching teams through adoption
Requirements
- 7+ years of experience as a Full-Stack Software Engineer, Technical Lead or DevEx Engineer with a strong focus on developer productivity and emerging AI technologies
- Working familiarity with React, TypeScript, Next.js plus back-end components such as APIs, databases, and microservices
- Practical knowledge of VS Code, JetBrains, Git, and CI/CD tooling in modern IDE and delivery ecosystems
- Proven interpersonal and coaching ability to introduce disruptive technologies and help engineering teams navigate change
- English proficiency at B2 (Upper-Intermediate) level or higher
Nice to Have
- Hands-on work with LLM APIs such as OpenAI, Anthropic, and Ollama
- Background in fine-tuning and RAG (Retrieval-Augmented Generation) setups
- Experience building custom AI agents
About the Company
[Company description if present]
© EPAM. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.
