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AI Gateway Product Owner (M/K)

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NieokreśloneFull-time
#444771·Dodano wczoraj·0
Źródło: Experis
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Tech Stack / Keywords

API GatewayLLMAWSGCPAzureKongAgileLLM gatewaysMCPA2A

Firma i stanowisko

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT.

Wymagania

  • BSc or MSc in Computer Science, Engineering, Business Informatics or a related discipline, or equivalent practical experience
  • Professional experience as a Product Owner, Platform Architect or similar role within technology or platform engineering
  • Proven experience as a Product Owner of a technical platform
  • Experience working with API management or gateway platforms (e.g. Kong, IBM API Connect/ DataPower Apigee, Cloud Gateways)
  • Hands-on experience with LLM gateways or model/agent onboarding workflows
  • Knowledge of how agents, MCP and A2A work, and how to secure and govern them through a gateway across different clouds and cloud-native AI stacks
  • Experience with cloud platforms such as AWS, GCP or Azure, and their native AI stacks (e.g. Bedrock, Gemini AI)
  • Experience working in agile delivery teams (backlog management, prioritisation, sprint planning)
  • Strong stakeholder management skills, including with architecture, risk, compliance and engineering teams

Nice to have:

  • Experience with Kong API/AI Gateway specifically
  • Familiarity with regulatory frameworks relevant to financial services, such as the EU AI Act, DORA or GDPR
  • Background in banking, financial services or another regulated industry

Obowiązki

  • Own and evolve the product vision, strategy and roadmap for AI Gateway and AI Registry capabilities
  • Translate regulatory requirements including the EU AI Act, DORA and GDPR into concrete platform capabilities and prioritized backlog items
  • Act as the primary point of contact between engineering, architecture, risk and compliance, and business stakeholders consuming AI capabilities
  • Drive onboarding of new use cases onto the platform, including LLM access via AWS Bedrock and GCP Gemini AI, MCP servers, and A2A agent-to-agent patterns
  • Collaborate closely with engineering teams, architects, and the self-service portal team to ensure the roadmap translates into a strong developer experience
  • Define and track success metrics for platform adoption, governance coverage, and operational maturity
  • Represent the AI Gateway platform in governance forums and support leadership updates on capability coverage and roadmap progress

Benefity

  • Contract of employment
  • Hybrid working model
  • Cafeteria platform
  • Possibility of using increased tax-deductible costs in the case of creative work
  • Profit-sharing program
  • Development opportunities including access to e-learning platforms like Udemy and O'Reilly, and participation in conferences across Poland and Europe
  • Pension program (PPE): 3.5% of salary transferred monthly by company
  • And much more
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