Project manager for AI agents

Внутренняя программа проектирует, развивает и масштабирует ИИ-агенты в рамках жизненного цикла разработки программного обеспечения, превращая видение Agentic Engineering в выполнимую дорожную карту и обеспечивая корпоративные возможности и измеримую ценность.

• Own the Agentic SDLC roadmap and delivery lifecycle, from use-case discovery and prioritization through design, build, validation, rollout, and scaling
• Manage the portfolio of AI agents across requirements, development, code review, testing, release, deployment, and operations
• Partner with Product and Engineering leaders to define capabilities, user journeys, acceptance criteria, backlog priorities, and target outcomes
• Coordinate cross-functional teams across AI, application development, data, architecture, QA, Dev Ops, security, privacy, and platform engineering
• Manage plans, resources, vendors, environments, integrations, risks, and dependencies across parallel work streams
• Establish governance and quality gates covering human oversight, security, responsible AI, traceability, and production readiness
• Drive pilots, adoption, and stakeholder communication, using feedback and delivery insights to improve the roadmap and reusable patterns

• 5+ Years managing complex technology projects or programs involving software development, AI, data, automation, or digital products
• Working knowledge of generative AI, AI agents, and agentic workflows, including orchestration, tool integration, evaluation, and human oversight
• Product management or product delivery experience, including discovery, roadmap definition, backlog prioritization, and outcome measurement
• Expert-level Jira proficiency, including workflow and board configuration, backlog and release management, dashboards, automation, and delivery metrics
• Deep understanding of end-to-end SDLC processes, roles, controls, and engineering practices
• Proven ability to lead global, cross-functional teams and manage scope, resources, risks, dependencies, vendors, and senior stakeholder expectations
• Strong command of Agile and hybrid delivery methods, with excellent analytical, facilitation, negotiation, and problem-solving skills
• Будет плюсом:
  Hands-on experience delivering AI agents, copilots, developer productivity solutions, or intelligent automation; experience with Microsoft Copilot Studio, Azure AI Foundry, Git Hub Copilot, or Microsoft Power Platform; proficiency with Azure Dev Ops, Confluence, Git Hub, or comparable product and engineering delivery tools; experience with AI evaluation, data and AI governance, responsible AI, security, privacy, validation, or regulated environments; project management, product management, or Agile certification such as PMP, PRINCE2, CSPO, CSM, PSM, or SAFe;
  
  a bachelor's degree in Information Systems, Computer Science, Engineering, or a related field

Poland