Hatch Pros · 1 day ago
AI Architect
Hatch Pros is seeking an AI Architect – Agentic Platforms to define the architectural foundations that power enterprise agent ecosystems. This role involves designing and governing the architecture for agent-based integrations and ensuring that agents are built safely and with enterprise-grade reliability. The AI Architect will provide technical leadership across various teams including engineering, product, and data science.
Information Technology & Services
Responsibilities
Define the architectural foundations that power enterprise agent ecosystem
Design and govern the architecture for agent-based integrations, agent registries, scoring/evals infrastructure, grounding patterns, and multi-agent orchestration platforms
Provide 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
Rapidly build AI-driven prototypes, proofs of concept, and demo-ready product experiences
Define and govern enterprise architecture standards, patterns, and reference architectures
Demonstrate strong expertise with agentic frameworks and tooling (MCP, LangChain, LangGraph, LlamaIndex, autogen, crewai, Agent sdk, OpenAI SDK etc)
Integrate APIs and enterprise systems into agentic platforms and workflows
Partner across engineering, data science, product, and security teams to deliver complex AI platform architectures
Qualification
Required
USC or GC holder
1099 or W2 only
need LinkedIn profile
The hiring manager would like someone local to Cincinnati or someone who is willing to relocate themselves
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
Preferred
Local are prefer
Company
Hatch Pros
At Hatch Pros, we provide a unique blend of IT solutions and staffing services to businesses all across the USA.
Funding
Current Stage
Growth StageCompany data provided by crunchbase