AI Product Owner

Seargin Ltd

Polska

On-site

PLN 90,000 - 140,000

Full time

27 hours ago
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Benefits offered by this job

MultiSport
Private Medical Care

Job summary

Seargin Ltd is seeking an experienced AI Delivery Manager to orchestrate end-to-end AI programs across international teams in Poland. You will govern MLOps, establish CI/CD for AI/GenAI workloads, drive production readiness, and optimize scalability and performance of AI platforms while ensuring governance and delivery standards.

You will collaborate with engineering, architecture, security, compliance and data teams to deliver measurable business value through robust delivery metrics and

Qualifications

  • Proven AI delivery experience across complex environments.
  • Strong understanding of MLOps, LLMOps and production AI requirements.
  • Hands-on CI/CD, deployment pipelines and release management for AI/ML/genAI.
  • Experience running production AI environments focusing on reliability and performance.
  • Solid knowledge of AI governance frameworks and delivery standards.
  • Experience coordinating international teams across multiple functions.
  • Strong analytical, communication and stakeholder management skills.
  • Experience defining and tracking KPIs and business value.

Responsibilities

  • Manage end-to-end delivery lifecycle of AI products across multiple teams from planning to production.
  • Establish and govern CI/CD processes for AI, MLOps, and GenAI workloads.
  • Drive production readiness and ensure reliable deployment and availability of AI solutions.
  • Lead initiatives to improve scalability, performance and efficiency of AI platforms.
  • Implement monitoring and operational practices to improve reliability and service quality.
  • Define and track delivery KPIs and business outcomes.
  • Coordinate stakeholders across engineering, security, compliance, data and business teams.
  • Manage delivery risks, dependencies, release planning and governance for enterprise AI initiatives.
  • Drive AI governance, standards and adherence to best practices across delivery.

Skills

AI Delivery
MLOps & LLMOps
CI/CD & Release
Production Operations
AI Governance
Cross-Functional Leadership
Analytical & Stakeholder
Metrics & Value

Job description

  • Manage the end-to-end delivery lifecycle of AI products and solutions across multiple teams, ensuring successful execution from planning through production.
  • MLOps & Release Management
    • Establish and govern CI/CD processes for AI, MLOps, and GenAI workloads, enabling controlled, efficient, and repeatable releases.
  • Production Readiness
    • Drive production readiness activities, ensuring reliable deployment, operational stability, and continuous availability of AI solutions.
  • Scalability & Performance Optimization
    • Lead initiatives focused on improving scalability, performance, and efficiency across AI platforms, services, and production workloads.
  • Monitoring & Operational Excellence
    • Implement monitoring processes and operational practices to identify issues, improve reliability, and support continuous service improvement.
  • Delivery Metrics & Value Tracking
    • Define and track delivery KPIs, operational metrics, and business outcomes to measure performance and value realization.
  • Cross-Functional Coordination
    • Coordinate stakeholders across engineering, architecture, security, compliance, data, and business teams to ensure successful delivery outcomes.
  • Risk & Governance Management
    • Manage delivery risks, dependencies, release planning, and governance activities across enterprise AI initiatives.
  • AI Governance & Standards
    • Drive AI governance, operational excellence, and adherence to consistent delivery processes, standards, and best practices.
Requirements
  • AI Delivery Experience
    • Proven experience in AI delivery, AI program management, or enterprise AI transformation initiatives across complex environments.
  • MLOps & LLMOps Expertise
    • Strong understanding of MLOps, LLMOps, and the operational requirements of production AI environments.
  • CI/CD & Release Management
    • Hands-on experience with CI/CD processes, deployment pipelines, and release management for AI, ML, and GenAI solutions.
  • Production Operations
    • Experience managing production AI environments with focus on reliability, scalability, performance, and operational stability.
  • AI Governance
    • Strong understanding of AI governance frameworks, operational controls, and enterprise delivery standards.
  • Cross-Functional Leadership
    • Experience coordinating international teams across engineering, architecture, security, compliance, data, and business functions.
  • Strong experience managing delivery risks, cross-team dependencies, release planning, and execution challenges.
  • Experience transitioning AI solutions from proof-of-concept and pilot stages into production-ready services.
  • Analytical & Stakeholder Skills
    • Strong analytical, communication, stakeholder management, and problem-solving capabilities in complex delivery environments.
  • Metrics & Business Value Management
    • Experience defining and tracking KPIs, operational metrics, service performance indicators, and business value outcomes.
What we offer
  • B2B Contract
    • Employment based on a B2B contract
  • Stable and Dynamic International Firm
    • Opportunity to work in a stable, dynamically developing international company
  • Engaging Projects and Latest IT
    • Chance to participate in interesting projects and work with the latest information technologies
  • Competitive Rates
    • Attractive remuneration rates offeres
  • Renowned International Projects
    • Involvement in the most prestigious international project
  • MultiSport and Private Medical Care
    • MultiSport and Private Medical Care

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