Principal Agentic AI Engineering Lead, Managing Director
Tasks
- Administer agent kill switch and configuration
- Build event-driven architecture
- Build observability dashboards
- Collaborate on evaluation frameworks and guardrails
- Design agent lifecycle management
- Develop agent scaffolding across runtimes
- Ensure platform scalability, security, and compliance
- Implement AIOps incident response
- Implement CI CD pipelines for agent deployment
- Implement agent to agent protocols
- Integrate human-in-the-loop workflows
- Manage IAM and entitlement controls
- Own workflow orchestration engine
- Scale agent platform for parallel invocation
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AIOps | AWS Cloud | AWS Cloud Development Kit | AWS Lambda | AWS Step Functions | AWS cloud development | Amazon ECS | Amazon EKS | Amazon S3 | Amazon SNS | Amazon SQS | Azure | BPMN | CI/CD | Cloud Development Kit | Cloud platform | Containerization | Docker | Event Driven | Event-driven architecture | Go | Google Cloud | Google Cloud Platform | IAM | Infrastructure as Code | Java | Kafka | Kubernetes | LLM Inference | Langchain | Langgraph | Model routing | Python | Responsible AI | Step Functions | Terraform | “as-code”
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Architect | Engineering | Engineering Lead | Engineering Manager | Lead | Manager | Software Architect
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