AI Architect

Cincinnati, OH - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

SUMMARY

The AI Enablement team is seeking an AI Architect Agentic Platforms to define the architectural foundations that power Clients enterprise agent ecosystem. This role is responsible for designing and governing the architecture for agent-based integrations agent registries scoring/evals infrastructure grounding patterns and multi-agent orchestration platforms. The AI Architect provides deep technical leadership across engineering product data science security and cloud teams to ensure that agents are built safely consistently and with enterprise-grade reliability performance and observability. This role combines expertise in large-scale AI systems distributed cloud architecture and modern agentic frameworks.

10 years experience in cloud and distributed systems architecture focused on scalability reliability observability and performance.
7 years designing enterprise AI/ML systems; 1 years hands-on with GenAI agentic workflows RAG LLM-based integrations or multi-agent systems.
Strong expertise with agentic frameworks and tooling (MCP LangChain LangGraphLlamaIndex autogen crewai Agent sdkOpenAI SDK etc).

Hands-on experience in modern software development and engineering practices.

Proven experience integrating APIs and enterprise systems into agentic platforms and workflows.

Ability to rapidly build AI-driven prototypes proofs of concept and demo-ready product experiences.

Experience defining and governing enterprise architecture standards patterns and reference architectures.
Deep understanding of MCP servers tool calling registries eval pipelines agent observability and multi-agent orchestration.
Hands-on experience with Azure and GCP including Kubernetes containerization identity networking CI/CD and API platforms.
Familiarity with AIOps/MLOps stacks (MLflow model registries vector DBs semantic layers feature stores monitoring).
Strong knowledge of security compliance risk and Responsible AI (RAI) considerations for enterprise agent systems.
Demonstrated ability to partner across engineering data science product and security teams to deliver complex AI platform architectures.

SUMMARY The AI Enablement team is seeking an AI Architect Agentic Platforms to define the architectural foundations that power Clients enterprise agent ecosystem. This role is responsible for designing and governing the architecture for agent-based integrations agent registries scoring/evals inf...

SUMMARY

10 years experience in cloud and distributed systems architecture focused on scalability reliability observability and performance.
7 years designing enterprise AI/ML systems; 1 years hands-on with GenAI agentic workflows RAG LLM-based integrations or multi-agent systems.
Strong expertise with agentic frameworks and tooling (MCP LangChain LangGraphLlamaIndex autogen crewai Agent sdkOpenAI SDK etc).

Hands-on experience in modern software development and engineering practices.

Proven experience integrating APIs and enterprise systems into agentic platforms and workflows.

Ability to rapidly build AI-driven prototypes proofs of concept and demo-ready product experiences.

Experience defining and governing enterprise architecture standards patterns and reference architectures.
Deep understanding of MCP servers tool calling registries eval pipelines agent observability and multi-agent orchestration.
Hands-on experience with Azure and GCP including Kubernetes containerization identity networking CI/CD and API platforms.
Familiarity with AIOps/MLOps stacks (MLflow model registries vector DBs semantic layers feature stores monitoring).
Strong knowledge of security compliance risk and Responsible AI (RAI) considerations for enterprise agent systems.
Demonstrated ability to partner across engineering data science product and security teams to deliver complex AI platform architectures.