AI Platform Architect: Agentic & Generative AI - Cogentiq
Tasks
- Architect agentic AI platforms for multi agent orchestration
- Build RAG pipelines with vector databases and LLM integrations
- Define agent orchestration and coordination patterns
- Define evaluation and experimentation frameworks for AI systems
- Define reference architectures and engineering standards
- Design end to end generative AI platforms
- Develop microservices based API first architectures
- Drive cloud native platform architecture on AWS Azure or GCP
- Ensure production reliability with observability monitoring and guardrails
- Ensure scalability security and resilience for AI workloads
- Implement human in the loop feedback systems
- Lead LLMOps and MLOps platform operations
- Manage Kubernetes deployments with CI CD pipelines and IaC
- Mentor engineers and set best practices
- Translate AI use cases into platform capabilities
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Autogen | Azure | CI/CD | Cloud platform | CrewAI | Docker | Evaluation | Event Driven | Event-driven architecture | Faiss | Go | Google Cloud | Google Cloud Platform | Governance | Guardrails | Infrastructure as Code | Java | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Microservices | Monitoring | Observability | Pinecone | Python | RAG | RBAC | REST APIs | Security | Vector Databases | Weaviate | Web Services | “as-code”
Education
N/A
Roles
AI | AI Platform Architect | Architect | Platform Architect | Software Architect
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