LLM Ops Architect
Tasks
- Architect enterprise AI solutions on Microsoft Azure
- Build scalable data and AI platforms on Azure Databricks
- Design generative AI and agentic AI application architectures
- Design multi agent agentic AI systems
- Develop prompt engineering evaluation pipelines
- Embed Responsible AI guardrails
- Enable auditability and monitoring
- Ensure compliance with governance frameworks
- Establish cloud engineering best practices
- Evaluate and optimize AI performance reliability and cost
- Implement retrieval-augmented generation solutions
- Implement secure AI and data governance controls
- Implement tool calling and workflow automation
- Integrate Model Context Protocol
- Set up identity and access management
Perks/Benefits
- 401k plan
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
AI Evaluation | AI application | AI application security | AI orchestration | Access Management | Agent systems | Agentic AI | Application Security | Audit Logging | Azure Databricks | Cloud Architecture | Compliance | Data Security | DevOps | Generative AI | Identity and Access Management | Identity and access | Microsoft Azure | Model Context Protocol | Monitoring | Multi-Agent | Multi-Agent Systems | Networking | Observability | Prompt engineering | Responsible AI | Retrieval-Augmented Generation | Tool-Calling | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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