AI Platform Engineer
Belmont, NC, United States
USD 108K-215K (estimate) Mid-level Full Time
Tasks
- Assess data classification and integration risk
- Build automation use cases with business teams
- Define and enforce prompt engineering standards
- Design data pipelines for AI ML use cases
- Evaluate and implement agentic frameworks
- Implement RAG prompt architecture standards
- Integrate LLM patterns with internal tools
- Lead governed rebuild of shadow AI solutions
- Maintain AI acceptable use policy and guardrails
- Maintain enterprise AI platform tier standards
- Maintain use case backlog and discovery sessions with stakeholders
- Manage automation delivery lifecycle from scoping to handoff
- Own AI ML platform layer in Databricks
- Review AI tools and platforms for enterprise use
- Test and validate governed solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Autogen | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Key Vault | Azure OpenAI | CI/CD | Data Lake Storage | Databricks | Feature Store | Key Vault | Langchain | Language Models | Large Language Models | MLflow | Machine Learning | Prompt engineering | Python | RAG | SQL | Unity Catalog
Education
N/A
Roles
Regions
Countries
States
Cities
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