AI Gateway Product Owner (M/K)
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NieokreśloneFull-time
#444771·Dodano wczoraj·0
Źródło: ExperisTech 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
Udział w zyskach
Experis
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