AI ARCHITECT

Cincinnati, OH - USA

Monthly Salary: Not Disclosed

Posted on: 23 hours ago

Vacancies: 1 Vacancy

Job Summary

Required Skills :

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.

Key Responsibilities

Define and maintain the enterprise reference architecture for agentic platforms (agentic framework tools MCP registries evals orchestration grounding observability).
Establish architectural standards and best practices for agent design tool integration safety telemetry versioning and lifecycle management.
Provide architectural leadership for agentic platform engineering teams ensuring scalability resiliency performance and operability.
Design and guide integration with semantic layers embeddings vector search knowledge models and enterprise data products to enable grounded agent behavior.
Drive architectural direction for low-code/no-code agent-building platforms ensuring governance consistency and ease of adoption.
Partner with cloud security product and enterprise architecture teams to align agentic platform designs with Krogers AI governance and RAI principles.
Define and support agentic SDLC through patterns for evals safety tests regression gates monitoring and benchmarking.
Evaluate new agentic frameworks open-source standards and orchestration tools to guide build vs buy platform decisions.
Provide hands-on architectural guidance across engineering and data science teams enabling scalable secure and cost-efficient agent deployment.

Translate complex business needs into clear technical design patterns and platform capabilities that accelerate agent development.

Required Skills : 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. Stro...