Hands-on AI Operations Specialist to build and maintain AI agents and tooling to automate repetitive internal work, ensuring compliance and long-term maintenance.
Responsibilities
Build and maintain AI agents, skills, prompts, and Andgo's shared context
Context engineering for AI agents and maintaining data pipelines
Ensure AI Operations comply with security and privacy policies
Monitor and maintain agent access requests for least privilege
Monitor evals and context, fix regressions, and handle model upgrades
This position is a salary grade 8 and ranges from $115,00-$192,900.
Responsibilities
Collaborate with cross-functional teams, including Product Managers, Architects, DevOps, and QA, to design and develop a scalable microservices platform.
Develop clear, testable specifications, acceptance criteria, and architectural guidelines that enable AI coding agents to generate reliable code.
Leverage AI coding agents, reusable prompts, and repository conventions to streamline development workflows.
Establish quality controls for AI-generated code, including automated testing, security scanning, and static analysis.
Evaluate emerging AI tools and practices, including agentic workflows, MCP integrations, and evaluation frameworks
Requirements
Bachelor's degree in Computer Science or related field
Lead by example in designing, developing, and implementing scalable, performant, and cost-effective full-stack solutions for internal and external-facing applications.
Establish and maintain coding standards, design guidelines, and best practices across the engineering team.
Drive the development of workflow orchestration services through microservices-based architectures, Backend-for-Frontend (BFF) layers, and service-oriented solutions that integrate with RESTful APIs and event streaming platforms.
Collaborate with cross-functional teams (front-end, back-end, cloud, security, and DevOps) to ensure seamless integration and delivery.
Apply deep technical expertise to architect and implement solutions using modern frameworks such as React, Next.js, Node.js, and Java/Spring Boot, while ensuring security and compliance.
Requirements
Bachelor’s degree in computer science, Engineering, or related technical field.
As a DevOps Engineer at Optum, you will join an engineering team modernizing healthcare platforms through Google Cloud Platform (GCP) and next-generation AIOps. In this role, you will be at the core of a major agentic AI initiative, designing, developing, and deploying autonomous AI agents that automate incident triage, root-cause remediation, build analysis, and self-healing infrastructure.
Responsibilities
Design, build, and maintain secure, scalable cloud infrastructure and deployment pipelines hosted primarily on Google Cloud Platform (GCP)
Architect, implement, and deploy agentic AI workflows and intelligent agents to automate operational incident triage, root-cause remediation, CI/CD build failure analysis, and system self-healing
Engineer and maintain robust human-in-the-loop controls, approval gates, and safety guardrails to ensure agent-driven remediation acts safely and adheres to responsible AI practices
Implement Infrastructure as Code (IaC) using Terraform and manage containerized workloads running on Google Kubernetes Engine (GKE)
Establish comprehensive observability, telemetry, and logging frameworks across GCP services to feed real-time operational signals and system context into agentic AIOps tools
Lead technical strategy and build AI solutions on Google Cloud for OpenAI partners.
Responsibilities
Build trusted relationships with Google Cloud field leadership, Customer Engineers, AI specialists, and partner teams across regions
Influence joint account strategy and identify new opportunities
Define engagement models and prioritization frameworks
Help teams distinguish model access through Model Garden, purchasing through Google Cloud Marketplace, and direct OpenAI offerings
Lead technical strategy for complex enterprise engagements, from use‑case discovery and architecture design to prototyping, evaluation, and production deployment
Define and lead Kubernetes and cloud platform architecture standards, design scalable, secure and highly available GKE and OpenShift solutions, and drive platform strategy, governance and technology roadmaps.
Responsibilities
Define and lead Kubernetes and cloud platform architecture standards
Design scalable, secure and highly available GKE and OpenShift solutions
Drive platform strategy, governance and technology roadmaps
Establish Infrastructure as Code (IaC) and platform automation standards
Define cloud networking, security, identity and compliance frameworks
Requirements
Bachelor’s or Master’s degree in Computer Science, IT, Engineering or a related field
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