Product Owner for PyTorch function within Red Hat's AI team. Liaison between engineering, product management, and community contributors in a hybrid role.
About the role
- Support and execute the AI strategy, with a focus on Generative AI solutions for customer-facing products.
- Partner with the AI Platform team to embed reusable, scalable AI capabilities into the core platform.
- Establish best practices for model development, deployment, monitoring, and continuous improvement.
- Grow technology partnerships with key AI technology providers.
- Work with engineering to deliver AI solutions from concept to production, ensuring scalability, reliability, and operational readiness.
- Lead advanced tuning, evaluation, and cost optimization strategies for large-scale AI models.
- Ensure model safety, ethical use, and compliance with applicable regulations and policies.
- Support fast-paced innovation initiatives in small collaborative teams with product owners, engineering, and subject matter experts to bring a working testable solution to customers.
Requirements
- 10+ years of product software engineering experience with at least 5 years in a leadership role.
- Expertise in Generative AI, including LLMs, prompt engineering, RAG, fine-tuning, and evaluation methodologies.
- Proven track record of delivering production-grade AI solutions in customer-facing products especially using LLMs.
- Strong understanding of production software engineering best practices, CI/CD, testing, observability, error handling, and security.
- Experience with cloud-based AI services (AWS, Azure, GCP) and hyper-scaler AI platforms (e.g., Azure OpenAI, Azure AI Services, AWS Bedrock, Google Vertex AI).
- Demonstrated ability to optimize AI model performance and costs for large-scale deployments especially LLMs.
- Exceptional communication and cross-functional collaboration skills.
Benefits
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Remote work options
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