The opportunity
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era.
What you'll do
Architect, design, and deploy robust Machine Learning & GenAI systems,: ensuring seamless integration with diverse platform services and establishing scalable LLMOps pipelines in production.
Drive technical decision making while striving to hit the right balance: between factors such as simplicity, flexibility, reliability, and performance.
Lead initiatives to tune, optimize, and deploy agentic applications in: production with a focus on performance, reliability, and security.
Partner with Product, Security, and Platform Engineering teams to design: AI-powered experiences that are both innovative and trustworthy.
Design and implement scalable infrastructure and platform services for large-scale Generative AI use cases.
Collaborate cross-functionally with product managers, researchers, and: engineers to deliver secure, high-quality, and scalable AI/ML systems.
What they're looking for
- Spearhead the design of scalable, observable ML and Generative AI systems: that integrate retrieval, inference, and evaluation pipelines.
- Develop and iterate on structured prompting, context retrieval, and RAG: workflows that improve accuracy, safety, and cost efficiency in Claude-based systems.
- Build and refine automated evaluation pipelines to measure model quality,: correctness, groundedness, and safety in production.
- Implement schema validation, structured output enforcement, and other: guardrails that keep AI outputs reliable, auditable, and compliant with enterprise standards.
