Senior AI Adoption & Enablement Lead

Our requirements

• Hands-on experience in a software development environment (e.g., as a Developer, Analyst, Tester, DevOps, Scrum Master, Product Owner, or a related role).
• Proven track record of implementing AI tools or solutions within IT teams (rollout, configuration, and integration with the software development process).
• Solid understanding of the Software Development Life Cycle (SDLC) and the daily realities of agile, cross-functional teams.
• Practical knowledge of AI tools supporting IT delivery, such as GitHub Copilot, Claude Code, Cursor, Codex, or M365 Copilot.
• Experience with Agentic SDLC: prompt engineering, Spec-Driven Development, and designing/building AI workflows and agents.
• Clear understanding of the capabilities and limitations of Generative AI, LLMs, and AI agents within the context of SDLC.
• Ability to identify the needs of engineering teams and translate them into concrete AI implementations.
• Strong knowledge transfer skills through hands-on collaboration: co-configuring environments, building workflows together, and conducting technical sessions during rollouts.
• Analytical skills to diagnose differences in team workflows (based on tool usage data) and unify practices/standards across the entire engineering organization.
• Capability to build team autonomy in maintaining and developing implemented solutions, including tailoring AI practices to specific roles.
• Experience creating technical documentation, standards, playbooks, and knowledge base content for AI solutions.
• Ability to gather and interpret feedback and usage data to iteratively improve implementations.
• Excellent communication skills with the ability to explain complex technical concepts in an audience-appropriate manner.
• Experience collaborating with diverse stakeholders: IT teams, leadership, AI Product Owners, AI Coaches, and AI Ambassadors.
• Ability to lead technical workshop sessions for engineering teams as a core part of the rollout process.
• Languages: Fluent Polish and Advanced English.

Optional

• Experience rolling out new developer tools within a large-scale organization.
• Knowledge of the principles of safe and responsible AI usage within highly regulated organizations.
• Practical experience with agentic frameworks (e.g., LangGraph) or the MCP protocol.

Your responsibilities

About the project

This is how we organize our work

Division of working time

• 75%

  remote
• 25%

  1 day a week required in the Warsaw office

This is how we work on a project

• architect / technical leader support
• team-level deployment
• documentation
• issue tracking tools
• testing environments

What we offer

• A transparent B2B contract signed directly with Optiveum.
• Continuous support from our team throughout the entire duration of your cooperation.
• The opportunity to make a tangible impact on the adoption of cutting-edge AI technologies within a large organization.
• A collaborative work environment focused on knowledge sharing.

Benefits

• remote work opportunities
• integration events

OPTIVEUM SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ