AI Engineering Manager
Tasks
- Build AWS event driven architectures
- Conduct code and design reviews
- Contribute to system architecture
- Drive delivery of agentic AI pipelines
- Ensure responsible AI data handling
- Establish engineering quality standards
- Hire and develop engineers
- Implement observability and alerting
- Integrate with Salesforce CRM PRM systems
- Lead AI first GTM engineering team
- Maintain audit trails and human in the loop controls
- Manage incident response and documentation
- Own AI orchestration engine roadmap
- Run effective one on ones and performance feedback
- Translate engineering decisions to business stakeholders
- Unblock engineers and resolve conflicts
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS IAM | AWS Lambda | Agentic Workflows | Alerting | Amazon API | Amazon API Gateway | Amazon Aurora | Amazon CloudWatch | Amazon EventBridge | Amazon RDS | Amazon S3 | Amazon SNS | Amazon SQS | Anthropic API | Async Processing | Bulk API | Design Documentation | Distributed tracing | Incident Response | JavaScript | LLM integration | LLM orchestration | Langchain | Langgraph | Multi-account | Multi-account AWS | Node.js | OpenAI API | Platform Events | Python | REST API | React | SLA monitoring | SOQL | Salesforce BULK API | Salesforce CPQ | Salesforce Flow | Salesforce Platform events | Salesforce REST | Salesforce REST API | Salesforce Streaming API | Salesforce platform | Steelbrick) | Streaming API | TypeScript
Education
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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