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Programmers.io · 5 hours ago

AI Architect

Cincinnati, OH

Contract

Hybrid

Senior Level, Lead/Staff

10+ years exp

Programmers.io is a leading company seeking an AI Architect. The role involves designing and implementing enterprise AI/ML systems while ensuring scalability, reliability, and performance in cloud environments.

Enterprise SoftwareInformation TechnologyManufacturingSoftware

Growth Opportunities

H1B Sponsor Likely

Hiring Manager

Dhirender Yadav

Responsibilities

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

Qualification

AI/ML systems designCloud architectureAgentic frameworksAzureGCPAPI integrationEnterprise architecture standardsAIOps/MLOps stacksSoftware development practicesSecurityComplianceCross-team collaboration

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)