AI Solutions Engineer
Tasks
- Build evaluation rubrics test cases and prompt datasets
- Collaborate with product IT security HR and academic teams
- Communicate findings to non-technical audiences
- Curate document ingestion embeddings and knowledge retrieval
- Define structured output formats for automated workflows
- Design AI enabled enterprise workflows
- Design and maintain enterprise prompts and agent instructions
- Drive improvements in agent reliability and workflow automation
- Ensure compliance with institutional policies and risk standards
- Evaluate AI platform capabilities and integrations
- Implement RAG pipelines and knowledge base updates
- Implement guardrails and safety rules
- Maintain operational runbooks and documentation
- Mitigate bias tone safety and factual accuracy issues
- Monitor usage output quality retrieval performance and drift
- Perform incident response and safe rollback for AI behavior
- Prototype and iterate prompt variants with evaluation metrics and A B testing
- Stay current on prompting techniques and LLM capabilities
- Support prompt and agent lifecycle including versioning and regression testing
- Translate business processes into scalable AI solutions
Perks/Benefits
- 401k company match
- Career development opportunities
- Comprehensive health coverage
- Disability insurance
- FSA & HSA options
- Life insurance
- Remote Hybrid Opportunities
- Tuition assistance
Skills/Tech-stack
A/B | A/B Testing | API Integration | B testing | Bias Mitigation | Change Control | Compliance | Copilot Studio | Document ingestion | Embeddings | Incident Response | JSON | Knowledge Retrieval | LLM | Microsoft Copilot | Microsoft Copilot Studio | Operational runbooks | Prompt engineering | Python | RAG Pipelines | Regression testing | Retrieval-Augmented Generation | Safety Guardrails | Salesforce | Salesforce Case | Salesforce Case Context | SharePoint | Structured evaluation | Versioning
Education
N/A
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