Level: Experienced

Job Field: Data, Product

Employment Type: Full Time

Contract Type: Permanent employment

Salary: from 53.802 € Gross/Year

Location: Vienna

Working Model: Onsite

Job Summary

In this role, you define the technical roadmap, shape critical infrastructure projects, and ensure AI systems are scalable and secure, all while driving technical innovation and best practices.

Job Technologies

Your role in the team

Define & Align Technical Roadmap - Act as a counterpart to Product Owners, AI strategic leads, and key stakeholders to shape the platform's direction.
Pioneer Infrastructure & Tooling - Own critical epics like conversation monitoring, performance telemetry, and experimentation frameworks to drive platform enhancement.
Enable Scalable Agentic AI Systems - Ensure technical readiness and provide infrastructure for autonomous decision-making, adaptive learning, and robust feedback loops.
Embed Security-First & Responsible AI Practices - Champion resilient, auditable, and ethically grounded AI systems with a strong risk-awareness mindset.
Drive Engineering & Quality Excellence - Advocate for best practices, enforce standards, and foster a culture of continual improvement.
Support Technical Innovation & Exploration - Push platform boundaries through early adoption of emerging AI paradigms and technologies.
Ensure Architectural & PTU Alignment - Manage Microsoft PTU integration and align deliverables with George-wide engineering principles.

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Our expectations of you

Qualifications

Strong understanding of the AI/ML lifecycle, including data preparation, model development, deployment, and monitoring.
Familiarity with key AI use cases including NLP, conversational AI, anomaly detection, and recommendation systems.
Technical proficiency with APIs, microservices, CI/CD pipelines, and data platforms.
Ability to translate complex business requirements into actionable, AI-powered solutions.
Awareness of AI compliance and ethical considerations, including transparency, fairness, and data privacy.
A hands-on, technically fluent mindset capable of bridging deep tech with strategic product delivery.
A preference for intellectually focused, structured environments and a collaborative approach to building production-ready solutions.
A genuine passion for innovation and emerging technologies, balanced by a pragmatic, user-centered development mindset.

Experience

Proven experience as a Product Owner in software/AI-driven environments, with solid grounding in agile methodologies (Scrum or Kanban).
Practical experience with ML frameworks, cloud platforms (e.g., Azure, AWS), and MLOps toolchains.

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