Sr. Application Engineer, Automation Lead
Tasks
- Apply engineering best practices for security scalability and maintainability
- Build data processing pipelines
- Build intelligent agents using Elastic Agent Builder
- Design and implement scalable production AI systems
- Develop automated workflows on Salesforce
- Develop proofs of concept and minimum viable products
- Establish data security for AI applications
- Guide technical engagements and mentor junior engineers
- Lead end-to-end delivery of AI solutions
- Model and integrate enterprise data
- Orchestrate AI agents and model deployments
- Perform debugging and root cause analysis
- Resolve technical issues and blockers
- Review junior engineers work for quality
- Write code and configure systems
Perks/Benefits
- 401k match
- Charitable donation matching
- Flexible work schedule
- Health coverage
- Parental leave
- Vacation days
- Volunteer time
Skills/Tech-stack
Agent Builder | Agentic AI | Analytics | BigQuery | CI/CD | Cause analysis | Code Quality | Data Modeling | Data Processing | Data Security | Data cloud | Data integration | Databricks | Debugging | Elastic Agent | Elastic Agent Builder | Java | JavaScript | LLM orchestration | Langchain | Language Models | Large Language Models | Llamaindex | Prompt engineering | Python | Root Cause Analysis | Root cause | Salesforce | Salesforce Data Cloud | Salesforce data | Scalability | Security | Snowflake
Education
N/A
Roles
AI | AI & Automation Engineer | AI Automation | Automation Engineer | Engineer | Solution Engineer
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