AI Architect
Job Description:
We are looking for an AI Architect to design and build an intelligent automation platform powered by multi-agent systems, advanced document-processing pipelines, and integration with a Cortex-style REST API for workflow automation.
Key Responsibilities
1. AI Agent Architecture & Orchestration
Architect and develop multi-agent systems capable of autonomous reasoning, task routing, and multi-step workflow execution.
Implement orchestration strategies (task graphs, chaining, message passing).
Ensure agents can read and interpret content extracted from PDFs.
2. Backend Engineering (Python, FastAPI/Django)
Build robust REST APIs and microservices using FastAPI or Django.
Develop async pipelines for agent communication and state management.
Implement secure integration with the Cortex‑style REST API using Bearer token authentication, as referenced in Cortex API documentation (turn2search9). [docs.cortex.io]
3. PDF Extraction & Document Intelligence Design end‑to‑end pipelines for:
PDF extraction
OCR
Parsing, chunking, and embedding
Integrate with Document Intelligence tools (Azure, open-source, or custom).
4. Integration with Cortex‑like REST API
Integrate with the Cortex REST API endpoints similar to those used in automation platforms (e.g., Pipedream Cortex REST API — turn2search8). [pipedream.com]
Trigger workflows, automation sequences, or data operations via:
REST endpoints
Webhooks
OAuth/Bearer authentication
Build connectors to push/pull data to/from Cortex-based automation engines.
5. Cloud, DevOps, DeploymentDeploy microservices to cloud (Azure preferred).
Ensure scalability, security, observability, and fault tolerance.
Implement CI/CD pipelines, containerization (Docker), and orchestration (AKS/Kubernetes).
6. Collaboration & Leadership
Work closely with architects, PMs, and developers to define technical direction.
Conduct design reviews and produce architecture documentation.
Mentor engineering teams on AI, agents, orchestration, and REST integrations.
Required SkillsTechnical
Strong expertise in Python and frameworks like FastAPI / Django.
Practical experience building agent-based AI systems.
Understanding of orchestration models and LLM integration strategies.
Experience with PDF processing, OCR, embeddings, RAG..
Solid grounding in cloud-native patterns and Azure services.
Job Description:
We are looking for an AI Architect to design and build an intelligent automation platform powered by multi-agent systems, advanced document-processing pipelines, and integration with a Cortex-style REST API for workflow automation.
Key Responsibilities
1. AI Agent Architecture & Orchestration
Architect and develop multi-agent systems capable of autonomous reasoning, task routing, and multi-step workflow execution.
Implement orchestration strategies (task graphs, chaining, message passing).
Ensure agents can read and interpret content extracted from PDFs.
2. Backend Engineering (Python, FastAPI/Django)
Build robust REST APIs and microservices using FastAPI or Django.
Develop async pipelines for agent communication and state management.
Implement secure integration with the Cortex‑style REST API using Bearer token authentication, as referenced in Cortex API documentation (turn2search9). [docs.cortex.io]
3. PDF Extraction & Document Intelligence Design end‑to‑end pipelines for:
PDF extraction
OCR
Parsing, chunking, and embedding
Integrate with Document Intelligence tools (Azure, open-source, or custom).
4. Integration with Cortex‑like REST API
Integrate with the Cortex REST API endpoints similar to those used in automation platforms (e.g., Pipedream Cortex REST API — turn2search8). [pipedream.com]
Trigger workflows, automation sequences, or data operations via:
REST endpoints
Webhooks
OAuth/Bearer authentication
Build connectors to push/pull data to/from Cortex-based automation engines.
5. Cloud, DevOps, DeploymentDeploy microservices to cloud (Azure preferred).
Ensure scalability, security, observability, and fault tolerance.
Implement CI/CD pipelines, containerization (Docker), and orchestration (AKS/Kubernetes).
6. Collaboration & Leadership
Work closely with architects, PMs, and developers to define technical direction.
Conduct design reviews and produce architecture documentation.
Mentor engineering teams on AI, agents, orchestration, and REST integrations.
Required SkillsTechnical
Strong expertise in Python and frameworks like FastAPI / Django.
Practical experience building agent-based AI systems.
Understanding of orchestration models and LLM integration strategies.
Experience with PDF processing, OCR, embeddings, RAG..
Solid grounding in cloud-native patterns and Azure services.