Sr. Manager / Lead Architect Agentic and Generative AI
Tasks
- Apply GDPR and EU AI Act requirements
- Architect orchestration and retrieval pipelines
- Define enterprise reference architecture for agentic and generative AI
- Deliver production grade agentic systems
- Design tool and data access using MCP
- Enforce policy as code and safe tool execution
- Ensure safety compliance and privacy by design
- Implement multimodal document understanding
- Improve performance, reliability, and cost efficiency
- Integrate LLMs with enterprise APIs
- Lead solution strategy and technical blueprints
- Manage model uncertainty with confidence and human oversight
- Mentor engineers and build reusable AI foundations
Perks/Benefits
- Bonus scheme
- Flexible work arrangements
- Global parental leave
- Learning opportunities
- Pension plan
- Social time support
- Wellbeing support
Skills/Tech-stack
AI Act | API Integration | Agent Orchestration | Architecture | Autogen | Azure AKS | Azure ML | Azure OpenAI | Azure Storage | CI/CD | Content Moderation | Docker | Document Understanding | EU AI | EU AI Act | Event Messaging | GDPR | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Llamaindex | MCP | Model Evaluation | Multimodal AI | Natural Language | Natural Language Processing | Policy-as-Code | Prompt engineering | Python | Red Teaming | Retrieval-Augmented Generation | Risk Assessment | Semantic Kernel | Software Engineering | Speech-to-Text | Testing | Version control | Whisper | “as-code”
Education
Roles
Architect | Lead | Lead Architect | Manager | Senior Manager
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