Architect – Agentic AI Engineering
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Summary
The Architect will design and scale agentic AI workflows and backend services using Python, AWS, and Azure. This role involves refactoring AI prototypes into production systems while establishing technical standards for LLM integration and prompt engineering.
- Apply software architecture principles and design patterns
- Architect backend services in Python
- Build multi step tool using AI agents
- Design agentic AI workflows
- Design and deploy solutions on AWS and Azure
- Design documented APIs
- Develop prompt engineering strategy
- Ensure security cost efficiency and scalability
- Evaluate and integrate LLM capabilities
- Implement testing observability error handling and versioning
- Make and document architectural decisions
- Optimize latency and throughput
- Refactor AI prototypes into production systems
- Remediate technical debt and scalability bottlenecks
- Set technical standards and provide architectural guidance
- Test and iterate LLM prompts