AI Architect

AI Architect Blue Ash, OH Job Details Temporary | Temp-to-hire $65 - $70 an hour 1 day ago Qualifications Azure Continuous Delivery (CD) implementation Enterprise software AIOps Scalable systems Infrastructure architecture Solution architecture design Containerization Prototype creation Implementing APIs Scalability Regression testing Cloud Architecture Design (Architecture design skills) Distributed computing Benchmarking Senior level Prototypes MLOps Generative AI Design patterns

Full Job Description Job Title:

AI Architect Duration:

6-month contract to hire

Location:

Blue Ash, OH 45242 (I'm open to relocation candidates from

EST, CST

but they should be genuinely open to it) Top 3 skills: software developer cloud architect, and AI capabilities Project details: Team details in. size, dynamics, locations: combo of full time and contractors, this has very broad exposure in terms of visibility, looking for 6-month CTH Project person will be supporting: Agentic platform Top 3 skills: software developer cloud architect, and AI capabilities SUMMARY 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 or Engineer 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. 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 Kroger's 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.

Qualifications:

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). 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.

Job Type:

Temp-to-hire Pay:

$65.00 - $70.00 per hour

Work Location:

In person