Enterprise Application AI Architect

TL;DR

Enterprise Application AI Architect (AI): Leads the integration of AI and automation across hirify.global’s enterprise applications ecosystem with an accent on designing Model Context Protocols and AI agents. Focus on transforming ERP and Finance systems from reactive workflows to predictive, context-aware platforms, ensuring security, compliance, and measurable impact.

Location: Remote (USA), with a hybrid option (2-3 days/week in-office) for those based in Denver, San Francisco, New York City, Los Angeles, or Seattle.

Salary: $150,000–$165,000/yr (Denver & most remote locations); $185,000–$205,000/yr (San Francisco, Seattle & New York).

Company

hirify.global is a product company on a mission to grow the small business economy by handling payroll, health insurance, 401(k)s, and HR.

What you will do

• Translate business needs into AI workflows by identifying automation opportunities and designing agentic solutions.
• Develop and maintain Model Context Protocols (MCPs) to securely connect enterprise systems like NetSuite, Zuora, and Jira to AI agents.
• Create and manage intelligent agents using large language models and orchestration frameworks for core enterprise processes.
• Govern the full lifecycle of MCPs and agents, ensuring adherence to enterprise data governance, privacy, and security standards, including SOX compliance.
• Measure and optimize impact by defining and tracking KPIs such as automation adoption, efficiency gains, and agent accuracy.
• Enable and influence the organization by building reusable AI frameworks and coaching teams on AI-driven workflows.

Requirements

• 8+ years in Business Systems Analysis, Enterprise Applications, or Automation roles with a track record of impact in complex environments.
• Demonstrated experience building and maintaining integrations across systems such as Jira, NetSuite, or similar, with a strong grasp of APIs, JSON, and RESTful service design.
• Hands-on knowledge of AI agent frameworks (e.g., LangChain, CrewAI, Semantic Kernel) and experience with leading LLM platforms (OpenAI, Anthropic, Gemini) and prompt engineering.
• Proficiency in Python or JavaScript for automation, orchestration, and building modular, scalable AI workflows.
• Strong documentation, analytical, and stakeholder communication skills.
• Passion for building secure, compliant, and explainable AI systems, embedding risk, privacy, and compliance considerations (including SOX) into every solution.

Culture & Benefits

• Workplace that represents and celebrates customers.
• Focus on security and protection of personal information.
• Equal opportunity employer committed to diversity and inclusion.
• Provides reasonable accommodations for qualified individuals with disabilities.