Enterprise AI Platform Architect — Scale & Govern AI

Midwest Startups; Addison (IL); On-site; USD 183,000 - 203,000; Full time

Job summary

Parts Town seeks a Senior AI Platform Architect to define enterprise AI platform architecture, standards, and guardrails. You will guide the delivery of AI agents, RAG workflows, and integrations, partnering with data, security, and business teams to ensure scalable, secure solutions.

You will lead architects in MCP, function calling, and model orchestration, building scalable, compliant AI ecosystems and driving adoption across the enterprise.

Qualifications

• Bachelor’s degree in computer science, engineering, or a related technical discipline.
• 8+ years shaping enterprise architecture, software engineering, or platform engineering initiatives at scale.
• Experience designing, building, and deploying enterprise‑grade AI solutions and intelligent agent ecosystems.
• Deep expertise in agentic AI, including MCP, function calling, tool orchestration, and context management strategies.
• Strong command of RAG, LLMs, semantic search, AI evaluation, monitoring, and responsible AI practices.
• Proficient in Python, Java, and TypeScript.
• Experience with modern development frameworks such as React, Rails, Spring, or equivalent.
• Architected and delivered microservices, event‑driven systems, APIs, and enterprise integration solutions.

Responsibilities

• Define enterprise AI platform architecture, standards, and guardrails aligned with technology strategy.
• Establish reference architectures, approved tooling, and reusable patterns for agents, retrieval, and orchestration.
• Evaluate emerging AI technologies and recommend adoption, integration, and governance approaches.
• Document architectural decisions balancing innovation, scalability, cost, and risk.
• Translate business needs into production‑ready AI solutions, including agents, assistants, and workflows.
• Design agentic capabilities using function calling, MCP, model orchestration, memory, and grounding.
• Guide teams hands‑on from PoC through deployment and operationalization.
• Ensure solutions follow established platform and engineering standards.
• Architect integrations between AI platforms, enterprise apps, collaboration tools, and business systems.
• Align AI solutions with the enterprise data ecosystem, preserving data quality and meaning.
• Design secure APIs, connectors, and event‑driven integrations respecting permissions.
• Partner with engineering to deliver reliable, scalable integrations.
• Define and enforce AI governance frameworks, policies, and standards.
• Establish controls for model deployment, agent publishing, integration approval, and lifecycle management.
• Collaborate with Security on identity, access, data protection, and regulatory requirements.
• Lead AI‑specific risk assessments for new capabilities, integrations, and vendors.
• Define standards for monitoring, observability, incident response, and platform support.
• Establish evaluation methods for agent quality, grounding, and production readiness.
• Track platform health, adoption, and value realization with metrics and dashboards.
• Serve as senior escalation point for AI platform issues.
• Lead architecture reviews and communicate decisions to audiences.
• Coach engineers and architects, building a bench for future leadership.
• Influence cross‑functional priorities with technical expertise.
• Act as go‑to expert for enterprise AI architecture and platform engineering.

Skills

Enterprise architecture

AI platform architecture

Agent frameworks

Model Context Protocol (MCP)

Cloud-native technologies

Python

Java

TypeScript

Kubernetes

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

Parts Town seeks a Senior AI Platform Architect to define enterprise AI platform architecture, standards, and guardrails. You will guide the delivery of AI agents, RAG workflows, and integrations, partnering with data, security, and business teams to ensure scalable, secure solutions.

You will lead architects in MCP, function calling, and model orchestration, building scalable, compliant AI ecosystems and driving adoption across the enterprise.