AI-Ops Engineering Lead - Director
Charlotte, NC, US, 28202
USD 130K-195K (estimate) Senior-level Full Time
Tasks
- Build observability for data drift model drift and cost
- Create infrastructure as code deployments using Databricks Asset Bundles
- Define AI Ops strategy and standards
- Enforce quality gates for audit compliance and internal review
- Establish evaluation and validation with A B canary shadow and regression tests
- Implement ci cd pipelines for models prompts and agents
- Implement retrieval health hallucination and grounding monitoring
- Integrate responsible AI security and privacy guardrails
- Mentor engineering teams and lead AI Ops team growth
- Operationalize AI platform with MLOps and LLMOps backbone
- Run day 2 operations with runbooks incident response and SLAs
- Set up model prompt and response governance with versioning and lineage
Perks/Benefits
Skills/Tech-stack
AI Search | Alerting | Asset bundles | Azure | Azure AI | Azure AI Search | CI/CD | Containerization | Data Drift | Databricks | Databricks (asset) | Databricks Asset Bundles | Databricks Vector Search | Embedding Models | FinOps | Haystack | Hugging Face | Hugging Face Transformers | Human-in-the-loop | Infrastructure as Code | Langgraph | Llamaindex | MLflow | Model Drift | Monitoring | Observability | Prompt engineering | PyTorch | Python | RAG evaluation | REST APIs | Retrieval-Augmented Generation | TensorFlow | The Loop | Vector Database | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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