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AI/ML Engineer II- Intelligence Accelerator

Okta

AI/ML Engineer II- Intelligence Accelerator

Okta logo

Okta

full-time

Posted: December 17, 2025

Number of Vacancies: 1

Job Description

Join Okta as a AI/ML Engineer II- Intelligence Accelerator. Okta is the leading independent identity provider, trusted by over 18,500 organizations worldwide. We help organizations securely connect people to technology. As an AI/ML Engineer II on Okta's Intelligence Accelerator team, you'll build scalable ML infrastructure, agentic AI systems, and developer tools to accelerate machine learning and generative AI adoption across the company. This role bridges data platforms, research, and product teams to power Okta's next-generation AI/ML platform, enabling classical models, LLMs, and autonomous agents. Join an elite unit driving innovation in cloud security and identity management. Key Responsibilities: • Design and maintain scalable ML infrastructure for distributed training clusters, real-time inference serving, and high-performance feature stores using tools like Airflow and MLFlow • Implement agentic AI infrastructure, including standards like Model Context Protocol (MCP), to securely connect LLMs with internal tools, data, and APIs • Build internal developer tooling for product teams to leverage generative AI workflows, RAG pipelines, and vector databases without managing underlying infrastructure • Architect and deploy robust ML systems with automated CI/CD workflows for model training, validation, deployment, and MLOps best practices • Design scalable data pipelines to ingest, process, and transform data from warehouses, ensuring quality, security, and compliance for ML models • Collaborate with data scientists, engineers, and stakeholders to optimize, monitor ML systems, troubleshoot issues, and evangelize AI/ML strategies What We're Looking For: • 3+ years of software engineering experience with strong focus on backend systems, distributed computing, or cloud infrastructure • Proven expertise in building ML infrastructure, including distributed training, inference serving, feature stores, and vector databases • Hands-on experience with MLOps tools like MLFlow, Airflow, CI/CD pipelines for ML workflows, and agentic AI technologies • Strong skills in designing secure, scalable data pipelines for data ingestion, processing, and compliance in ML environments • Experience optimizing and monitoring ML systems, troubleshooting performance issues, and collaborating cross-functionally What We Offer: • Competitive compensation with equity and benefits • Health, dental, vision insurance and 401(k) matching • Flexible PTO, parental leave, and professional development • Hybrid work options and inclusive, collaborative culture Okta is an Equal Opportunity Employer committed to diversity and inclusion.

Locations

  • Toronto, Ontario, Canada, Toronto, Ontario, Canada

Salary

Estimated Salary Rangehigh confidence

115,000 - 165,000 CAD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • CI/CDintermediate
  • Machine Learningintermediate
  • AIintermediate
  • Identity Managementintermediate
  • Securityintermediate
  • Software Developmentintermediate
  • Problem Solvingintermediate

Required Qualifications

  • 3+ years of software engineering experience with strong focus on backend systems, distributed computing, or cloud infrastructure (experience)
  • Proven expertise in building ML infrastructure, including distributed training, inference serving, feature stores, and vector databases (experience)
  • Hands-on experience with MLOps tools like MLFlow, Airflow, CI/CD pipelines for ML workflows, and agentic AI technologies (experience)
  • Strong skills in designing secure, scalable data pipelines for data ingestion, processing, and compliance in ML environments (experience)
  • Experience optimizing and monitoring ML systems, troubleshooting performance issues, and collaborating cross-functionally (experience)

Responsibilities

  • Design and maintain scalable ML infrastructure for distributed training clusters, real-time inference serving, and high-performance feature stores using tools like Airflow and MLFlow
  • Implement agentic AI infrastructure, including standards like Model Context Protocol (MCP), to securely connect LLMs with internal tools, data, and APIs
  • Build internal developer tooling for product teams to leverage generative AI workflows, RAG pipelines, and vector databases without managing underlying infrastructure
  • Architect and deploy robust ML systems with automated CI/CD workflows for model training, validation, deployment, and MLOps best practices
  • Design scalable data pipelines to ingest, process, and transform data from warehouses, ensuring quality, security, and compliance for ML models
  • Collaborate with data scientists, engineers, and stakeholders to optimize, monitor ML systems, troubleshoot issues, and evangelize AI/ML strategies

Benefits

  • general: Competitive compensation with equity and benefits
  • general: Health, dental, vision insurance and 401(k) matching
  • general: Flexible PTO, parental leave, and professional development
  • general: Hybrid work options and inclusive, collaborative culture

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IdentitySecuritySaaSCloudEngineeringEngineering

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Okta logo

AI/ML Engineer II- Intelligence Accelerator

Okta

AI/ML Engineer II- Intelligence Accelerator

Okta logo

Okta

full-time

Posted: December 17, 2025

Number of Vacancies: 1

Job Description

Join Okta as a AI/ML Engineer II- Intelligence Accelerator. Okta is the leading independent identity provider, trusted by over 18,500 organizations worldwide. We help organizations securely connect people to technology. As an AI/ML Engineer II on Okta's Intelligence Accelerator team, you'll build scalable ML infrastructure, agentic AI systems, and developer tools to accelerate machine learning and generative AI adoption across the company. This role bridges data platforms, research, and product teams to power Okta's next-generation AI/ML platform, enabling classical models, LLMs, and autonomous agents. Join an elite unit driving innovation in cloud security and identity management. Key Responsibilities: • Design and maintain scalable ML infrastructure for distributed training clusters, real-time inference serving, and high-performance feature stores using tools like Airflow and MLFlow • Implement agentic AI infrastructure, including standards like Model Context Protocol (MCP), to securely connect LLMs with internal tools, data, and APIs • Build internal developer tooling for product teams to leverage generative AI workflows, RAG pipelines, and vector databases without managing underlying infrastructure • Architect and deploy robust ML systems with automated CI/CD workflows for model training, validation, deployment, and MLOps best practices • Design scalable data pipelines to ingest, process, and transform data from warehouses, ensuring quality, security, and compliance for ML models • Collaborate with data scientists, engineers, and stakeholders to optimize, monitor ML systems, troubleshoot issues, and evangelize AI/ML strategies What We're Looking For: • 3+ years of software engineering experience with strong focus on backend systems, distributed computing, or cloud infrastructure • Proven expertise in building ML infrastructure, including distributed training, inference serving, feature stores, and vector databases • Hands-on experience with MLOps tools like MLFlow, Airflow, CI/CD pipelines for ML workflows, and agentic AI technologies • Strong skills in designing secure, scalable data pipelines for data ingestion, processing, and compliance in ML environments • Experience optimizing and monitoring ML systems, troubleshooting performance issues, and collaborating cross-functionally What We Offer: • Competitive compensation with equity and benefits • Health, dental, vision insurance and 401(k) matching • Flexible PTO, parental leave, and professional development • Hybrid work options and inclusive, collaborative culture Okta is an Equal Opportunity Employer committed to diversity and inclusion.

Locations

  • Toronto, Ontario, Canada, Toronto, Ontario, Canada

Salary

Estimated Salary Rangehigh confidence

115,000 - 165,000 CAD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • CI/CDintermediate
  • Machine Learningintermediate
  • AIintermediate
  • Identity Managementintermediate
  • Securityintermediate
  • Software Developmentintermediate
  • Problem Solvingintermediate

Required Qualifications

  • 3+ years of software engineering experience with strong focus on backend systems, distributed computing, or cloud infrastructure (experience)
  • Proven expertise in building ML infrastructure, including distributed training, inference serving, feature stores, and vector databases (experience)
  • Hands-on experience with MLOps tools like MLFlow, Airflow, CI/CD pipelines for ML workflows, and agentic AI technologies (experience)
  • Strong skills in designing secure, scalable data pipelines for data ingestion, processing, and compliance in ML environments (experience)
  • Experience optimizing and monitoring ML systems, troubleshooting performance issues, and collaborating cross-functionally (experience)

Responsibilities

  • Design and maintain scalable ML infrastructure for distributed training clusters, real-time inference serving, and high-performance feature stores using tools like Airflow and MLFlow
  • Implement agentic AI infrastructure, including standards like Model Context Protocol (MCP), to securely connect LLMs with internal tools, data, and APIs
  • Build internal developer tooling for product teams to leverage generative AI workflows, RAG pipelines, and vector databases without managing underlying infrastructure
  • Architect and deploy robust ML systems with automated CI/CD workflows for model training, validation, deployment, and MLOps best practices
  • Design scalable data pipelines to ingest, process, and transform data from warehouses, ensuring quality, security, and compliance for ML models
  • Collaborate with data scientists, engineers, and stakeholders to optimize, monitor ML systems, troubleshoot issues, and evangelize AI/ML strategies

Benefits

  • general: Competitive compensation with equity and benefits
  • general: Health, dental, vision insurance and 401(k) matching
  • general: Flexible PTO, parental leave, and professional development
  • general: Hybrid work options and inclusive, collaborative culture

Target Your Resume for "AI/ML Engineer II- Intelligence Accelerator" , Okta

Get personalized recommendations to optimize your resume specifically for AI/ML Engineer II- Intelligence Accelerator. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "AI/ML Engineer II- Intelligence Accelerator" , Okta

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

IdentitySecuritySaaSCloudEngineeringEngineering

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No related jobs found at the moment.