Описание:
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.
Задачи:
- 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, DevOps, security, privacy, and platform engineering
- Manage plans, resources, vendors, environments, integrations, risks, and dependencies across parallel workstreams
- 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
Требования:
- 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, GitHub Copilot, or Microsoft Power Platform; proficiency with Azure DevOps, Confluence, GitHub, 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
Условия:
Poland