Principal AI Engineer - Agent Ops / SRE
Hartford CT- Home Office, United States
USD 168K-220K Senior-level Full Time
Tasks
- Build AI deployment templates and reference architectures
- Build IDP catalogs templates and pipelines
- Create Infrastructure as Code modules with Terraform
- Design and build scalable fault tolerant AI systems
- Develop operational runbooks for AI workloads
- Ensure AI systems meet performance and reliability requirements
- Implement CICD and GitOps workflows
- Implement corrective actions after incidents
- Lead incident response triage escalation and RCA
- Manage production systems to meet SLO
- Serve as technical liaison between AI COE and Platform Engineering
Perks/Benefits
Skills/Tech-stack
AI guardrails | Adversarial Attacks | Agile | Alert Tuning | Automated testing | CICD pipelines | Continuous Delivery | Continuous integration | Dashboards | Deep learning | Docker | Dynatrace | GKE | Generative AI | Generative AI Guardrails | GitOps | Hybrid search | Infrastructure as Code | Integration Testing | Kubernetes | LLM orchestration | Langchain | Langgraph | Langsmith | Language Processing | Latency monitoring | Llamaindex | Natural Language | Natural Language Processing | Observability | OpenTelemetry | Python | Red Teaming | Release Management | SLO | Semantic Search | Splunk | Terraform | Unit Testing | Vector Databases | “as-code”
Regions
Countries
States
Cities
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