Lead AI Engineer: Multi-Agent PDLC Automation

Okta

Sydney Township (ND)

On-site

USD 180,000 - 240,000

Full time

13 days ago

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Benefits offered by this job

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Conn +

Job summary

Okta is seeking a Lead AI Engineer to build agentic AI solutions that accelerate theProduct Development Life Cycle. You will write code, design multi-agent systems, and ensure scalable, secure AI-driven workflows across US, India, and beyond.

You will partner with Process Improvement to transform bottlenecks into production-ready automations, enabling engineers to supervise multiple AI agents and review outputs in a collaborative, compliant environment.

Qualifications

  • 8+ years of hands-on software engineering with backend focus.
  • Proven experience building applications using LLMs and agentic AI.
  • Deep expertise with enterprise developer tools and APIs.
  • Strong automation, IaC, and container orchestration skills.
  • Collaborative experience across multi-geography teams.

Responsibilities

  • Design, build, and deploy multi-agent systems for engineering workflows.
  • Integrate LLMs with internal tooling via APIs for semi-autonomous tasks.
  • Develop tools for AI agents to safely interact with code repos and CI/CD.
  • Ensure secure, sandboxed AI solutions with least privilege.
  • Architect global PDLC automation pipelines and enable async handoffs.

Skills

Backend dev
Agentic AI
APIs
Jira
GitHub
Kubernetes
SRE/DevOps
Security/compliance

Tools

LangChain
LangGraph
AutoGen
LlamaIndex
AgentCore
Terraform
CloudFormation
Vertex

Job description

Okta is seeking a Lead AI Engineer to build agentic AI solutions that accelerate theProduct Development Life Cycle. You will write code, design multi-agent systems, and ensure scalable, secure AI-driven workflows across US, India, and beyond.

You will partner with Process Improvement to transform bottlenecks into production-ready automations, enabling engineers to supervise multiple AI agents and review outputs in a collaborative, compliant environment.

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