Enterprise AI Architect

ProArch Technologies LLC; Houston (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

ProArch Technologies LLC in Houston is seeking an experienced Enterprise AI Architect to define and drive the organization's AI strategy, governance, and adoption roadmap. The role will translate business objectives into practical, scalable, and secure AI solutions and work closely with senior leadership.

You will shape enterprise AI architecture, evaluate platforms and technologies, establish governance, and drive AI across the software delivery lifecycle with cross-functional teams.

Qualifications

• 12+ years of technology experience with AI/ML or enterprise architecture.
• Proven ability to define enterprise AI strategies and roadmaps.
• Experience with Azure/AWS/GCP and enterprise data platforms preferred.
• Strong understanding of LLMs, RAG, AI Agents, and AI orchestration.
• Experience leading multinational, geographically distributed teams.
• Ability to translate AI capabilities into business outcomes for leadership.
• Strong communication and stakeholder-management skills.

Responsibilities

• Define and drive 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.

Skills

AI strategy

Cross-team leadership

Communication

Stakeholder management

Presentation to leadership

Strategic thinking

Tools

GitHub Copilot

Azure AI

Azure AI Foundry

Azure Agents

Power Platform

Power Automate

Copilot Studio

Job description

Enterprise AI Architect Overview

Company Name: ProArch Technologies LLC

Job Role: Enterprise AI Architect

Qualifications: Not specified

Category: I

Job Type: Full Time

Location: Houston, TX, United States

Enterprise AI Architect

Client : Direct Client

Location : Houston / TX ( Onsite )

VisaStatus : H1B / GC

Role Overview

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
• Microsoft 365 Copilot
• Copilot Studio / AI Agents
• 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.

Visa Sponsorship May be