AI Platform Engineer Consultant
New
T
Total SuccessAI Infrastructure
Remote for US based candidates onlyFull-TimeSenior
Salary160,000 - 190,000 USD per year
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Job Details
- Experience
- 5 or more years of experience
- Required Skills
- Cloud ComputingKubernetesCI/CD
Requirements
- 5 or more years of experience in platform engineering, infrastructure engineering, backend engineering, or related technical roles
- Experience supporting production AI, ML, automation, or agent-based systems
- Hands-on experience building policy systems, access-control layers, audit logging, workflow engines, or orchestration platforms
- Experience with identity or workload identity systems such as SPIFFE/SPIRE, OAuth/OIDC, or Entra ID
- Familiarity with durable workflow orchestration tools such as Temporal
- Experience integrating enterprise middleware, message queues, APIs, or legacy systems
- Strong understanding of observability tools, distributed tracing, OpenTelemetry, logs, and metrics
- Experience with infrastructure as code, CI/CD, and containerized services
- Experience with AWS, Azure, or Google Cloud
- Experience with Kubernetes or similar container orchestration platforms
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Responsibilities
- Build core platform infrastructure that supports governed AI agent operations at enterprise scale
- Develop control-plane capabilities that separate proposed actions, approved decisions, and executed actions
- Implement policy enforcement, access control, and business-rule guardrails beyond native system permissions
- Build governance workflows for configuration changes, approvals, versioning, rollback, and change tracking
- Create audit logging capabilities that support compliance, traceability, and evidence requirements
- Develop connector frameworks that manage staging, retries, failure handling, circuit breakers, and safe writeback to systems of record
- Implement identity and workload-identity capabilities for agent registration, authentication, and authorization
- Build observability instrumentation using tracing, spans, logs, and metrics to support end-to-end action visibility
- Support durable workflow orchestration for governed actions, approvals, and multi-step execution paths
- Support infrastructure provisioning, containerization, deployment automation, and CI/CD for platform services
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