Best NanoTech · 21 hours ago
AI Architect
Cincinnati, OH
Full-time
Onsite
Senior Level, Lead/Staff
$70/hr - $70/hr
10+ years expBest NanoTech is seeking an AI Architect to define the architectural foundations that power Kroger’s enterprise agent ecosystem. This role involves designing and governing architecture for agent-based integrations and providing technical leadership across various teams to ensure reliability and performance of AI systems.
Staffing & Recruiting
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
Qualification
Required
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, 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
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
Company
Best NanoTech
ABOUT BEST NANOTECH CEOs and CTOs in semiconductor, IT and energy sectors face identical challenges: engineering talent is fragmented, hard to find, harder to retain.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase