Senior AI Engineer: AI-Driven DevOps & SDLC

Arche Consulting Sp. z o.o.

Warszawa

On-site

PLN 180,000 - 240,000

Full time

9 days ago
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Job summary

Arche Consulting Sp. z o.o. represents a client driving a large-scale digital transformation with cloud adoption and microservices architecture modernization.

The role focuses on designing and implementing AI-powered solutions for software development, integrating AI tools in DevOps environments, and building AI agents and workflows for engineering teams. You will engage with developers, managers, and stakeholders to deliver high-value AI outcomes.

Qualifications

  • 5+ years in a technical role within software development
  • Hands-on experience with AI tools across SDLC
  • Experience in AI-driven automation and architecture
  • Ability to translate business needs into technical initiatives

Responsibilities

  • Design and implement AI-powered solutions that support software development processes
  • Configure, integrate, and enhance AI tools within development and DevOps environments
  • Build AI agents, workflows, prompts, and reusable skills for engineering teams
  • Integrate AI with repositories, CI/CD pipelines, code reviews, and testing frameworks
  • Provide hands-on engineering support and collaborate with development teams
  • Lead technical workshops and identify AI adoption opportunities across the organization
  • Define and standardize AI usage practices and engineering workflows across teams
  • Monitor AI implementations and recommend continuous improvements
  • Prepare technical documentation and support knowledge transfer
  • Collaborate with engineers, managers, and business stakeholders to deliver high-value AI solutions

Skills

AI/ML concepts
DevOps experience
SDLC knowledge
Requirements translation
Engineering collaboration
English communication

Tools

GitHub Copilot
Cursor
Claude Code
Codex
M365 Copilot

Job description

Arche Consulting Sp. z o.o. represents a client driving a large-scale digital transformation with cloud adoption and microservices architecture modernization.

The role focuses on designing and implementing AI-powered solutions for software development, integrating AI tools in DevOps environments, and building AI agents and workflows for engineering teams. You will engage with developers, managers, and stakeholders to deliver high-value AI outcomes.

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