Sr. Manager / Lead Architect Agentic and Generative AI
Tasks
- Create architectural blueprints for production deployment
- Define enterprise reference architecture for agentic and generative AI
- Design MCP based tool and data access
- Develop multimodal document understanding solutions
- Drive performance reliability and cost efficiency
- Embed safety compliance and privacy by design
- Establish standards and guardrails for AI scaling
- Implement grounded retrieval pipelines
- Implement policy as code for safe tool execution
- Integrate structured LLM with enterprise APIs
- Lead solution strategy and technology choices
- Manage uncertainty with confidence routing and human oversight
- Mentor teams and build reusable AI foundations
- Orchestrate agentic systems
Perks/Benefits
- Bonuses
- Career development opportunities
- Flexible work arrangements
- Parental leave
- Pension plan
- Wellness programs
Skills/Tech-stack
AI Act | API Integration | Autogen | Automated testing | Azure | Azure AKS | Azure Machine Learning | Azure OpenAI | CI/CD | Deep learning | Docker | Docker Swarm | EU AI | EU AI Act | Event Messaging | GDPR | Kubernetes | LLM | Langchain | Langgraph | Language Processing | Llamaindex | MCP | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Semantic Kernel | Speech-to-Text | Version control | Whisper
Education
Roles
AI | AI Architect | Agentic AI Architect | Architect | Generative AI Architect | Lead | Lead Architect
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