AI ARCHITECT W2
Hybrid in Cincinnati, OH, US • Posted 2 days ago • Updated 2 days ago

S3 Staffing USA
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Job Details
Skills
- AI
- Agentic
- LLM
- Gen AI
- API
Summary
AI ARCHITECT
Location: Cincinnati, OH, 3 days onsite, Local Only
Duration: 6+ Months
TN
Video Interview
Role Overview
Top 3 skills: software developer cloud architect, and AI capabilities
Soft Skills Needed: this role is on the sr side, so we are wanting someone to lead a team and work with stakeholders, coordination to drive solution. Someone who is a strong leader.
Project person will be supporting: Agentic platform
Team details ie. size, dynamics, locations: combo of full time and contractors, this has very broad exposure in terms of visibility, looking for 6-month CTH
Other Helpful notes:
- This architect will focus on creating and architecting next gen innovation
- Someone who can be productive with the AI side of things. Architect who has google, google agent stack, software development experience, CICD
- We need someone with experience with AI and new technology
- 50% hands on and 50% architect
Job Description
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 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, 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 Google Cloud Platform, 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 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.
- Dice Id: 91159673
- Position Id: 8870353
- Posted 2 days ago
Company Info
About S3 Staffing USA
S3staffingusa is an industry-leading consultant firm specialising in IT-based staffing and software development solutions. We serve as an effective teammate for our international partners to help meet the business objectives set by end customers. Over the past few years, we’ve maintained a steadily growing presence in the industry, and can currently boast of a 200+ strong resource organisation to supervise our customers’ critical operations and intricate business applications.
Our firm is based on the philosophy of cultivating long-term relationships with clients, which is achieved by mastering development of cutting-edge technologies and incorporating proven process-driven methodologies into our workflow. Such competitive advantages are the secret behind how we provide effective, timely technology solutions to our clients, while strictly adhering to budget limits and being involved in a collaborative approach with them. If technology-based solutions to tackle a dynamic and demanding business environment are necessary, then look no further than S3staffingusa.
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