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AI Architect
Location:Must be in Cincinnati,OH- Ready to come for inperson interview
Client Kroger
All vendor update: I have refreshed all submittal spots here, candidates need to be local, the team was unable to get approval for exceptions on this role. I am working with the HM to see if we can get a vendor call scheduled. Please let me know if anything is unclear in the JD for now- thank you!!
Summary
At Kroger, we are creating the architectural backbone that powers next-generation AI agents across customer, associate, and business ecosystems.
Our teams develop and operate foundational AI platforms that support intelligent experiences across digital commerce, stores, supply chain, marketing, and enterprise operations. These systems rely on scalable, secure, and resilient cloud infrastructure, governed data platforms, and enterprise architecture patterns that ensure safe and seamless AI adoption at scale. We are seeking a AI Architect – Agentic Platforms to define and lead the architecture for Kroger’s enterprise AI agent ecosystem enabling intelligent, grounded, and reliable AI systems that operate across millions of interactions every day. This is a high-impact, enterprise architecture leadership role focused on platform strategy, technical standards, and cross-organization influence.
The AI Enablement team at Kroger/84.51° is seeking an AI Architect – Agentic Platforms to define the architectural foundations that power Kroger’s 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.
experience in cloud and distributed systems architecture focused on scalability, reliability, observability, and performance.
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, LangGraph,LlamaIndex, autogen, crewai, Agent sdk,OpenAI SDK etc).
AI Architect
Location:Must be in Cincinnati,OH- Ready to come for inperson interview
Client Kroger
All vendor update: I have refreshed all submittal spots here, candidates need to be local, the team was unable to get approval for exceptions on this role. I am working with the HM to see if we can get a vendor call scheduled. Please let me know if anything is unclear in the JD for now- thank you!!
Summary
At Kroger, we are creating the architectural backbone that powers next-generation AI agents across customer, associate, and business ecosystems.
Our teams develop and operate foundational AI platforms that support intelligent experiences across digital commerce, stores, supply chain, marketing, and enterprise operations. These systems rely on scalable, secure, and resilient cloud infrastructure, governed data platforms, and enterprise architecture patterns that ensure safe and seamless AI adoption at scale. We are seeking a AI Architect – Agentic Platforms to define and lead the architecture for Kroger’s enterprise AI agent ecosystem enabling intelligent, grounded, and reliable AI systems that operate across millions of interactions every day. This is a high-impact, enterprise architecture leadership role focused on platform strategy, technical standards, and cross-organization influence.
The AI Enablement team at Kroger/84.51° is seeking an AI Architect – Agentic Platforms to define the architectural foundations that power Kroger’s 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.
experience in cloud and distributed systems architecture focused on scalability, reliability, observability, and performance.
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, LangGraph,LlamaIndex, autogen, crewai, Agent sdk,OpenAI 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.