Gentis Solutions

AI Architect

Information Technology • Data Engineering
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Cincinnati, OH
0.078k/year - 0.085k/year
January 19, 2026
Candidates: 17 Interviewing: 0 Hired: 0
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Randi Brofft

Randi Brofft

Vice President
Information Technology Retail Transportation

About the Job

Gentis Solutions is looking for a AI Architect to join our team. This role is part of our Professional Consultants group, working directly with clients to accomplish their goals. The client has expressed an interest in hiring the individual after project completion. Consulting engagements of this type typically last an average of 3-6 months.

Compensation for this position ranges from 0.078k/year - 0.085k/year per year, based on experience. Payment is bi-weekly and is based on all hours worked, without eligibility for overtime.

This position requires the individual to be located in the Cincinnati, OH area.

Requirements:

  • 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.

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 to enable scalable, secure, and cost-efficient agent deployment.
  • Translate complex business needs into clear technical design patterns and platform capabilities that accelerate agent development.