Programmers.ai · 1 day ago
AI Architect
Cincinnati, OH
Contract
Hybrid
Senior Level, Lead/Staff
10+ years expProgrammers.ai is seeking an AI Architect to define the architectural foundations for their enterprise agent ecosystem. This role is responsible for designing and governing the architecture for agent-based integrations and ensuring that agents are built with enterprise-grade reliability and performance.
Computer Software
Hiring Manager
Aashish Agarwaal
Responsibilities
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
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
Programmers.ai
Smarter Staff Augmentation. Powered by AI.
201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase