Enterprise AI Architect

ProArch Technologies LLC; Houston (TX); On-site; USD 160,000 - 230,000; Full time

Job summary

ProArch Technologies LLC is seeking an experienced Enterprise AI Architect to define and drive AI strategy, architecture, governance, and adoption roadmap in collaboration with the Director and senior leadership. You will identify high-value AI opportunities, evaluate technologies, and translate business objectives into scalable AI solutions across enterprise data platforms and applications.

You will lead the evaluation of Azure/AWS/GCP AI tools, establish governance, and drive AI adoption

Qualifications

• 12+ years of technology experience with AI/ML, Generative AI or Enterprise Architecture.
• Experience defining enterprise AI strategies and roadmaps.
• Strong understanding of LLMs, RAG, AI Agents, Agentic AI and AI orchestration.
• Experience with Azure/AWS/GCP and enterprise data platforms preferred.

Responsibilities

• Define and drive Enterprise AI strategy, vision and roadmap.
• Advise leadership on AI opportunities, technologies, investments, risks and trends.
• Identify, evaluate and prioritize Generative AI, Agentic AI, and AI-enabled use cases.
• Define enterprise AI architecture, reference architectures, standards and patterns.
• Evaluate AI platforms, LLMs, AI agents, RAG solutions and copilots.
• Establish AI governance, security, compliance and risk management frameworks.
• Drive AI adoption across the SDLC including DevOps, testing and modernization.
• Assess AI initiatives for business value, feasibility, ROI, scalability and readiness.

Skills

AI strategy

Enterprise architecture

Generative AI

Agentic AI

LLMs

RAG

AI orchestration

Cloud AI services

Security governance

Leadership

Tools

GitHub Copilot

Azure AI

Azure Foundry

Azure Agents

Power Platform

Power Automate

AWS

GCP

Job description

We are seeking an experienced Enterprise AI Architect to define and drive the organization's AI strategy, architecture, governance, and adoption roadmap. The role will work closely with the Director and senior leadership to identify high-value AI opportunities, evaluate emerging technologies, and translate business objectives into practical, scalable, and secure AI solutions.

Key Responsibilities

• Define and drive the Enterprise AI Strategy, Vision, and Roadmap aligned with business and technology objectives.
• Advise the Director and senior leadership on AI opportunities, technology choices, investments, risks, and emerging AI trends.
• Identify, evaluate, and prioritize Generative AI, Agentic AI, and AI-enabled engineering use cases.
• Define enterprise-level AI architecture, reference architectures, technology standards, and design patterns.
• Evaluate and recommend AI platforms, LLMs, AI agents, RAG solutions, copilots, and emerging AI technologies.
• Establish and evolve AI governance, security, responsible AI, compliance, and risk management frameworks.
• Drive adoption of AI across the SDLC, including software development, testing, documentation, DevOps, support, and modernization.
• Assess AI initiatives based on business value, feasibility, ROI, scalability, security, and enterprise readiness.
• Provide architectural guidance for integrating AI capabilities with enterprise applications, data platforms, and existing technology ecosystems.
• Define and track AI adoption, value realization, and maturity metrics for leadership reporting.
• Partner with engineering, architecture, security, data, and business teams to convert strategy into executable AI initiatives.

Required Experience & Skills

Microsoft AI Ecosystem

• Strong experience with the Microsoft technology and AI ecosystem, particularly:
• GitHub and GitHub Copilot
• Azure AI / Azure AI Foundry and Azure Agents
• Power Platform and Power Automate
• Other relevant Microsoft AI capabilities and services
• Ability to assess and recommend the appropriate Microsoft AI technologies based on enterprise requirements.

Enterprise Application Experience

Strong understanding of enterprise application architecture, development, integration, deployment, and operations.

Should have personally gone through multiple stages of the application lifecycle - from architecture and development through deployment and production support.

Experience working with complex enterprise application landscapes, integration platforms, APIs, cloud services, and enterprise data.

Enterprise & Global Delivery Experience

• Proven experience working with and leading multinational, geographically distributed teams in large organizations.
• Experience collaborating with senior technology leaders, architects, engineering teams, business stakeholders, and external partners.
• Ability to operate effectively across strategy, architecture, delivery, and governance.

Experience

• 12+ years of overall technology experience, with significant experience in AI/ML, Generative AI, Agentic AI, or Enterprise Architecture.
• Demonstrated experience in defining enterprise AI strategies and roadmaps and taking AI initiatives from concept through implementation.
• Strong understanding of LLMs, RAG, AI Agents, Agentic AI, AI orchestration, cloud AI services, and enterprise AI architecture.
• Experience with Azure/AWS/GCP and enterprise data platforms is preferred.

Leadership Attributes

• Strong strategic thinking and technology vision.
• Ability to translate complex AI capabilities into clear business outcomes and actionable recommendations for leadership.
• Strong communication, influencing, stakeholder-management, and presentation skills.
• Ability to balance innovation, business value, security, compliance, cost, and scalability when making AI architecture decisions.