Senior AI and Automation Engineer
Okta
Job Overview
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Job Description
About Okta
Okta is The World’s Identity Company, dedicated to freeing everyone to safely use any technology, anywhere, on any device or app. Through the Okta Platform and Auth0 Platform, they provide secure access, authentication, and automation, making identity central to business security and growth. Okta values diverse perspectives, seeking lifelong learners who can contribute unique experiences to the team. Join them in building a world where Identity belongs to you.
The Role: Senior AI and Automation Engineer
Okta is at the forefront of building secure, enterprise-grade AI, and is looking for a Senior AI and Automation Engineer to design and scale their Agentic AI Platform. This platform is crucial for enabling enterprise teams to securely build, deploy, and manage intelligent AI agents at scale.
As part of a global AI engineering team spanning the US and India, you will collaborate closely with software engineers, product managers, and designers to develop secure, intelligent tools for Okta employees.
What You Will Do
- Design and develop platform services for AI agents, covering orchestration, lifecycle management, observability, and guardrails.
- Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency.
- Build scalable APIs, frameworks, and reusable components for rapid and secure AI agent creation and deployment.
- Contribute to monitoring, evaluation, and governance features to ensure safe, reliable, and enterprise-ready AI adoption.
- Partner with Applied AI engineers, product managers, and designers to support real-world use cases.
- Stay updated with advancements in agentic AI, orchestration frameworks, and enterprise AI infrastructure.
What We Are Looking For
- 5–8 years of software engineering experience, with at least 3+ years in AI/ML platforms or intelligent automation.
- 3+ years in Python preferred; experience with Java, Node.js, or Go is a plus.
- 2+ years with modern front-end frameworks (e.g., React, Vue, Angular), including accessibility (a11y) principles and effective collaboration with Product & Design teams.
- Expertise in AI agent frameworks (LangGraph preferred), orchestration systems, vector databases, RAG pipelines, and monitoring/observability.
- Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).
- Experience building secure, enterprise-grade infrastructure for AI or ML workloads.
- Strong communication and collaboration skills for global and cross-time zone teams.
Why Join Okta
At Okta, you will play a critical role in building the foundational platform for enterprise AI, directly impacting applied AI solutions for thousands of employees and customers. Your work will ensure smarter, faster, and secure AI adoption. You'll be part of a global engineering team, collaborating seamlessly with peers in the US and India, making a significant impact at scale.
This is a #hybrid role, offering a dynamic work environment with the best tools, technology, and benefits. Okta fosters talent, connection, and community, empowering employees to work productively in a setting that suits their needs.
Key skills/competency
- AI Platforms
- Intelligent Automation
- Python Programming
- Distributed Systems
- API Development
- Container Orchestration (ECS/EKS)
- Cloud Platforms (AWS/GCP/Azure)
- AI Agent Frameworks (LangGraph)
- Vector Databases
- RAG Pipelines
How to Get Hired at Okta
- Research Okta's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on identity and AI innovation.
- Tailor your resume: Customize your resume and cover letter to highlight experience in AI/ML platforms, intelligent automation, distributed systems, and secure enterprise infrastructure, using keywords from the Senior AI and Automation Engineer job description.
- Showcase relevant projects: Prepare to discuss specific examples of your work with AI agent frameworks, vector databases, RAG pipelines, and cloud platforms like AWS/GCP/Azure during interviews.
- Prepare for technical assessments: Expect coding challenges, especially in Python, and in-depth discussions on system design, microservices, and container orchestration related to AI infrastructure.
- Emphasize collaboration and security: Highlight your ability to work effectively in global, cross-functional teams and your commitment to building secure, reliable, and governed AI solutions.
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