Senior/Lead Forward Deployed AI Engineer-Anthropic-US West
Tasks
- Add logging error handling and observability
- Apply prompt and context engineering
- Build Claude based enterprise workflows
- Build Retrieval-Augmented Generation solutions
- Collaborate with product engineering and AI ML teams
- Deploy agentic AI workflows
- Design structured outputs
- Establish human in the loop review
- Evaluate LLM performance
- Execute AI regression testing
- Ground answers in enterprise data
- Implement agent packs and accelerators
- Implement authentication, authorization, and secrets management
- Implement responsible AI safeguards
- Implement tool use function calling
- Integrate AI automations in ServiceNow
- Monitor deployed AI solutions
- Operationalize AI assistants
- Optimize reliability performance latency and cost
- Secure enterprise integrations
- Translate business requirements into architectures
- Troubleshoot AI workflow and integration issues
Perks/Benefits
Skills/Tech-stack
API Integration | Access Control | Agent Packs | Agentic Workflows | Anthropic API | Authentication | Authorization | Claude | Context engineering | Data Governance | Enterprise Integrations | Error Handling | Evaluation | Function Calling | Human-in-the-loop | JavaScript | Language Models | Large Language Models | Logging | Model Evaluation | Observability | Prompt Injection Risk | Prompt Injection Risk Mitigation | Prompt engineering | Prompt injection | Python | RAG | Regression testing | Retrieval-Augmented Generation | Risk Mitigation | Scalability | Secrets management | Security | ServiceNow | Structured outputs | The Loop | Tool use | Version control
Education
N/A
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