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Programmers.ai

AI Architect

On site

Cincinnati, United states

Senior

Freelance

26-01-2026

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Skills

Leadership CI/CD Kubernetes Monitoring Networking Architecture Systems Architecture Cloud Architecture Enterprise Architecture Azure Software Development GCP Data Science OpenAI Langchain

Job Specifications

Job Role: AI Architect

Location: Cincinnati, OH (3 days onsite)

Duration: Long Term Contract

Job Description:

The AI Enablement team is seeking an AI Architect – Agentic Platforms to define the architectural foundations that power Client'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.

Skills:

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.

About the Company

Smarter Staff Augmentation. Powered by AI. Headquartered in Dallas, TX, Programmers.ai is the next generation of IT staff augmentation – delivering AI-trained talent ethically and responsibly to enterprise clients around the world. With over 400 vetted professionals, we provide expertise in hundreds of technologies – including .NET, Java, cloud, and more – across 15+ industries and domains. All of our experts are responsibly trained in AI tools for 2X productivity, with progress tracked on real-time dashboards for transparen... Know more