Lead AI Engineer - Agentic AI Platform
Tasks
- Advise stakeholders on agent integration
- Build multi-agent systems
- Coach teams and manage performance
- Define agentic AI roadmap
- Develop RAG pipelines
- Develop agentic AI blueprints
- Establish AI governance
- Evaluate Azure AI services
- Evaluate and integrate new AI technologies
- Implement LLM orchestration
- Implement security and privacy controls
- Integrate APIs
- Lead cross-functional project coordination
- Perform risk assessments
- Select models and frameworks
Perks/Benefits
- AI training budget
- Conference attendance
- Diversity and inclusion culture
- Flexible working hours
- Leadership influence
- Remote work
- Research project participation
- Wellbeing focus
Skills/Tech-stack
AI Foundry | AI Services | API Integration | Agent systems | Artificial Intelligence | Autogen | Azure AI | Azure AI Foundry | Azure AI Services | Azure OpenAI | Azure OpenAI Service | Copilot Studio | Data Lakehouse | Delta Lake | Fabric | Governance | GraphRAG | LLM orchestration | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | OpenAI Service | Privacy Compliance | RAG | Retrieval-Augmented Generation | Risk Assessment | Security
Education
N/A
Roles
AI | AI Engineer | AI Platform Engineer | Engineer | Lead | Lead AI Engineer | Platform Engineer
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