AI Architect M/F

Tasks

• Architect agent-based systems and workflows
• Define AI architecture and design principles
• Define AI security standards and enforcement
• Define API standards and data contracts
• Define RAG architectures and retrieval optimization
• Define event driven architectures and integration patterns
• Define prompt strategies guardrails and output validation
• Design AI integration architectures with enterprise systems
• Design defenses for prompt injection adversarial inputs and data leakage
• Design end-to-end AI solution architectures
• Establish multi agent orchestration patterns
• Lead AI technology evaluation and selection
• Lead CI CD MLOps and LLMOps processes
• Maintain AI factory technology stack
• Provide technical leadership for AI factory maturity
• Standardize AI architecture patterns for reuse

Perks/Benefits

• N/A

Skills/Tech-stack

AI Foundry | API Design | API Management | Access Control | Agentic Workflow | Azure | Azure AI | Azure AI Foundry | Azure Machine Learning | Azure OpenAI | CI/CD | Containerization | Data Privacy | ERP | Event Driven | Event-driven architecture | Injection Defense | LLM | LLMOps | Lifecycle Management | MLOps | Machine Learning | Microservices | Model Lifecycle | Model Lifecycle Management | Monitoring | Observability | Orchestration Framework | Prompt injection | Prompt injection defense | Python | RAG | Retrieval-Augmented Generation | Secure API | Secure API Design | TMS | Vector Database