AI Developer
Tasks
- Build AI delivery platform using Azure AI Foundry for orchestration deployment and governance
- Build and govern centralized knowledge base of AI patterns prompts and guidelines
- Continuously evaluate AI landscape and provide risk informed recommendations
- Create technical documentation reference architectures and runbooks
- Define evaluation frameworks and implement prompt model testing and red teaming
- Deliver AI enablement curriculum workshops and playbooks
- Design manage model context protocol servers connectors and retrieval patterns
- Develop Python libraries services and automations with testing and reliability
- Ensure security privacy and regulatory compliance with risk mitigation
- Implement performance monitoring for AI quality safety latency and cost
- Lead architecture design and delivery of agentic workflows and intelligent copilots
- Lead cross functional delivery from pilot to steady state operations
- Own end to end design delivery deployment operationalization of generative AI solutions
- Select configure and integrate LLM platforms into production use cases
- Translate business priorities into an AI delivery roadmap
Perks/Benefits
- Collaborative culture
- Hybrid work environment
- Inclusive safe workplace
- Training and development
- Wellness programs
Skills/Tech-stack
AI Foundry | APIs | Authentication | Authorization | Azure AI | Azure AI Foundry | Azure OpenAI | CI/CD | Claude | Data Governance | DevOps | Generative AI | Incident Response | LLMOps | Language Models | Large Language Models | MCP servers | MLOps | Microsoft Copilot | Model Context Protocol | Observability | Privacy | Prompt engineering | Python | RAG | Red Teaming | Retrieval-Augmented Generation | SQL | Secrets management | Security
Education
Bachelor of Engineering | Bachelor of Engineering Science | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI Specialist | Engineer | Senior AI Specialist | Specialist
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