Software Engineer

Optum is hiring an AI Solutions Engineer to build, automate, and modernize enterprise infrastructure across on-premises and cloud environments. The role develops AI-enabled solutions, infrastructure automation, and full-stack applications while supporting security compliance and resilient operations.

Responsibilities:

• Design, develop, and deploy AI-powered solutions, platform automations, and software applications to streamline workflows and address complex infrastructure challenges with an emphasis on responsible use of AI
• Use enterprise-approved AI tools to automate vulnerability remediation, patch compliance monitoring, and operational governance across enterprise scale
• Evaluate emerging AI technology trends and platform capabilities to inform solution design, application architecture, and strategic engineering innovation
• Build, modernize, and maintain full-stack web applications and backend APIs using React, FastAPI, and Python to support developer productivity and infrastructure operations
• Develop infrastructure-as-code (IaC) and configuration management tooling using Terraform, Chef, and GitHub to automate server deployments and cloud resource provisioning
• Collaborate closely with security, platform engineering, cloud operations, and compliance teams to translate complex security standards into automated verification and operational workflows

Requirements:

• 2+ years of professional software engineering experience using languages such as Python, JavaScript/TypeScript, Java, or C#
• 1+ years of experience with cloud platforms (AWS or Azure) and infrastructure deployment tooling (e.g., Terraform, Chef, or Ansible)
• 1+ years of experience developing RESTful APIs and web applications using modern frameworks (e.g., FastAPI, React, Node.js, or Django)
• 1+ years of experience using standard software engineering practices, Git version control, and automated CI/CD deployment pipelines
• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field
• 1+ years of experience designing, building, and deploying AI/ML integrations, internal AI assistants, or intelligent enterprise automations in production environments
• Experience with AI-assisted software development tools (e.g., GitHub Copilot) and LLM application frameworks (e.g., LangChain, OpenAI APIs)
• Knowledge of infrastructure security, vulnerability remediation, patch management, or compliance frameworks (e.g., NIST controls)
• Experience integrating application data with enterprise CMDBs, monitoring tools (e.g., Splunk, Dynatrace), and ITSM platforms (e.g., ServiceNow)
• Experience working across multi-OS environments, including Linux (RHEL) and Windows Server infrastructure