Enterprise AI Architect

# Enterprise AI Architect Apply
** Job#: 3056283
***
* Job Description:

** Enterprise AI Architect
*
* Location:

** Plano, Texas

Role Overview This role serves as a senior AI architecture leader responsible for defining enterprise patterns, standards, and decision frameworks that guide the adoption of AI across Global Technology. The position provides architectural leadership spanning AI platforms, agentic systems, retrieval architectures, model integration, workflow automation, and enterprise AI governance. Working with CIO architecture teams, platform engineering, security, and risk partners, this role translates evolving AI capabilities into practical, scalable, and governed enterprise solutions.

Key Responsibilities
* Define enterprise AI architecture strategy, patterns, and reference architectures.
* Establish decision frameworks for AI platform selection, solution design, and deployment approaches.
* Develop governance models, standards, and guardrails for AI and agentic solutions.
* Drive consistency and reuse through enterprise AI patterns, templates, and guidance artifacts.
* Align AI architecture with enterprise security, risk, compliance, and control requirements.
* Define architecture patterns for enterprise AI agents, multi-agent systems, and workflow automation.
* Establish guidance for agent orchestration, planning, memory, tool invocation, and human oversight.
* Guide adoption of emerging AI interoperability standards and architectures.
* Partner with platform teams to align enterprise AI capabilities with business and technology needs.
* Define patterns for RAG, vector databases, semantic retrieval, and enterprise knowledge architectures.
* Act as a senior AI architecture leader driving alignment across multiple organizations and initiatives.
* Promote responsible AI adoption through practical governance and architectural guardrails.

Required Qualifications
*
* Experience:

** 15+ years in enterprise architecture, solution architecture, software engineering, or distributed systems design; 8+ years of experience architecting AI/ML, NLP, or advanced analytics solutions; 2+ years of experience designing enterprise GenAI, RAG, and agentic AI solutions.
** Technical

Skills:

** Strong knowledge of AI/ML concepts including LLMs, RAG, embeddings, vector databases, evaluation frameworks, and agent-based architectures.

Experience with enterprise AI platforms such as Microsoft Copilot Studio, Azure AI services, Azure OpenAI, or equivalent technologies. Familiarity with AI orchestration frameworks, workflow automation, and enterprise integration patterns. Understanding of security, governance, privacy, and risk considerations for AI solutions.
** Professional

Skills:

** Proven ability to influence senior stakeholders and drive architecture decisions in regulated environments. Strong communication skills with the ability to simplify complex AI concepts and drive alignment across technical and business audiences.

Preferred Qualifications
* Experience with agentic AI, multi-agent systems, MCP, and emerging AI interoperability standards.
* Experience with Microsoft AI ecosystem capabilities including Copilot Studio, Azure AI Foundry, Azure OpenAI, and Git Hub Copilot.
* Experience with AWS AI services including Amazon Bedrock, Sage Maker, and AI application architectures.
* Knowledge of knowledge graphs, semantic search, vector databases, and enterprise retrieval architectures.
* Experience defining AI governance, model lifecycle management, and responsible AI practices.
* Experience operating in large-scale, highly regulated enterprise environments.  
* Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package.

Our commitment to excellence is reflected in many awards, including Clearly Rateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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