Manager / AI Architect – Agentic systems
Tasks
- Align stakeholders and engineering teams
- Architect agentic AI reference architecture
- Build multimodal document understanding
- Define solution strategy and architectural blueprints
- Deliver production AI agents
- Embed safety compliance and privacy by design
- Enforce safe tool execution
- Implement MCP based tool access
- Implement grounded retrieval
- Implement policy as code
- Improve performance, reliability, and cost efficiency
- Integrate LLMs with enterprise APIs
- Lead concept to scaled deployment
- Manage uncertainty in non deterministic systems
- Mentor peers and build reusable foundations
- Orchestrate agent workflows
- Provide confidence bounding and human oversight routing
Perks/Benefits
- Career development learning opportunities
- Flexible work arrangements
- Health and wellness benefits
- Inclusive culture
- Internal Job Market
- Parental leave
Skills/Tech-stack
AI Act | AKS | APIs | Autogen | Azure | Azure ML | Azure OpenAI | Azure Storage | CI/CD | Content Moderation | Docker | Document Understanding | EU AI | EU AI Act | Event Streaming | GDPR | Generative AI | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | Messaging | Model Evaluation | Multimodal AI | Natural Language | Natural Language Processing | PII handling | Prompt engineering | Python | RAG | Red Teaming | Retrieval-Augmented Generation | Risk Assessment | Semantic Kernel | Speech Recognition | Speech-to-Text | Testing | Version control
Education
Roles
AI | AI Architect | AI Engineering | AI Engineering Manager | Architect | Engineering Manager | Manager
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