Data AI Solution Architect

EPAM Systems; Portugal; Remote; EUR 90,000 - 140,000; Full time

Job summary

EPAM Systems is seeking an AI Solution Architect / AI Champion to join our Portugal team in a fully remote mode. You will define AI solution architectures, configure AI-assisted development and testing environments, and implement agent-based workflows to advance AI maturity across software development cycles.

This hands-on role requires expertise in generative AI architectures, developer enablement, and integration within enterprise Agile and DevOps practices.

Qualifications

• Proven experience designing and implementing generative AI solution architectures.
• Hands-on experience with AI-assisted development frameworks and agent-based automation (LangChain, LangGraph, or similar).
• Familiar with configuring AI development aids under source control practices.
• Strong understanding of Agile methodologies and DevOps for continuous delivery pipelines.
• Ability to train cross-functional engineering teams on AI-native workflows and usage standards.

Responsibilities

• Define architecture for AI solutions tailored to diverse software technology stacks.
• Configure AI development and testing environments including GitHub Copilot, AI coding assistants, and LLM tools under source control.
• Implement AI-native workflows and maintain version-controlled agent configurations, context files, and reusable workflows.
• Provide technical training sessions for development and QA teams on AI adoption in SDLC.
• Deploy and validate the first agent-based workflows within a Scrum-based real production environment.
• Document AI use cases, workflows, and best practices for cross-project reuse.
• Collaborate on creating technical recommendations to enable Level 2 and Level 3 AI maturity foundations.
• Work with program leads to refine AI adoption strategy aligned with enterprise goals and governance.

Skills

Generative AI architectures

LangChain/LangGraph

AI-assisted development workflows

Agile & DevOps

Developer enablement

Tools

GitHub Copilot

LLM tools

Job description

We're looking for an AI Solution Architect / AI Champion to join our team in Portugal in a fully remote working mode. In this role, you will support Bureau Veritas’ European Regional Team in its strategic transformation toward an AI-native development model (AI SDLC). You will define AI solution architectures, configure AI-assisted development and testing environments, and implement agent-based workflows that enable progressive maturity adoption across software development cycles. This is a hands‑on, high-impact role requiring expertise in generative AI architectures, development workflow integration, and developer enablement in enterprise Agile environments.

Responsibilities

• Define architecture for AI solutions tailored to diverse software technology stacks
• Configure AI development and testing environments including GitHub Copilot, AI coding assistants, and LLM tools under source control
• Implement AI-native workflows and maintain version-controlled agent configurations, context files, and reusable workflows
• Provide technical training sessions for development and QA teams on AI adoption in SDLC
• Deploy and validate the first agent-based workflows within a Scrum-based real production environment
• Document AI use cases, workflows, and best practices for cross-project reuse
• Collaborate on creating technical recommendations to enable Level 2 and Level 3 AI maturity foundations
• Work with program leads to refine AI adoption strategy aligned with enterprise goals and governance

Requirements

• Proven experience designing and implementing generative AI solution architectures
• Hands‑on expertise with AI-assisted development frameworks and agent-based automation (LangChain, LangGraph, or similar)
• Familiarity with configuring AI development aids (e.g., GitHub Copilot, LLM‑enhanced IDE plugins) under source control practices
• Strong understanding of Agile methodologies and DevOps practices for continuous delivery pipelines
• Ability to train cross‑functional engineering teams on AI‑native workflows and usage standards
• Excellent communication and analytical problem‑solving skills in complex technical environments

Nice to have

• Experience with large‑scale AI transformation programs or AI maturity frameworks
• Knowledge of enterprise security and compliance for AI tool adoption
• Background in setting up observability, governance, and evaluation standards for AI workflows
• Familiarity with co‑pilot tools benchmarking, and AI‑assisted testing strategies

We offer

• Competitive compensation depending on experience and skills
• Variety of projects within one company
• Being a part of a project following engineering excellence standards
• Individual career path and professional growth opportunities
• Internal events and communitiesFlexible work hours