AI Developer
Tasks
- Build and govern centralized knowledge base of AI patterns and guidelines
- Coordinate cross functional delivery from pilot to production rollout
- Define evaluation frameworks for quality safety latency and cost
- Deliver scalable AI enablement workshops office hours and playbooks
- Develop Python libraries services and automations with testing and reliability
- Ensure AI solutions meet security privacy and regulatory requirements
- Evaluate AI landscape and recommend adoption pilots standardization or avoidance
- Implement prompt and model testing red teaming and performance monitoring
- Integrate Claude and Microsoft Copilot into production use cases
- Lead architecture design and delivery of generative AI solutions
- Maintain technical documentation reference architectures and runbooks
- Manage MCP model context protocol servers connectors and retrieval patterns
- Own AI delivery platform stack using Azure AI Foundry
- Translate business priorities into an AI delivery roadmap
Perks/Benefits
- Collaborative culture
- Hybrid work environment
- Professional growth and development
- Wellbeing programs
Skills/Tech-stack
AI Foundry | API Integration | Authentication | Authorization | Azure AI | Azure AI Foundry | Azure OpenAI | CI/CD | Claude | Data access | DevOps | Evaluation | Generative AI | Governance | Incident Response | LLMOps | Language Models | Large Language Models | MLOps | Microsoft Copilot | Model Context Protocol | Monitoring | Observability | Prompt engineering | Python | RAG | Red Teaming | Retrieval-Augmented Generation | Secrets management | Secure Data | Secure data access
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Developer | AI Specialist | Developer | Senior AI Specialist | Specialist
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