AI Enterprise Architect

ClifyX

Phoenix (AZ)

On-site

USD 130,000 - 200,000

Full time

29 hours ago
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Job summary

ClifyX is seeking an AI Enterprise Architect in Phoenix to design and deliver AI-enabled solutions embedded in business units. You will partner with business users and the centralized AI team to govern and scale deployments, building AI-driven workflows and automations that boost productivity.

The ideal candidate thrives on turning opportunities into scalable AI programs, leveraging Copilot Studio, M365 Copilot, and Azure to deliver value across financial services contexts.

Qualifications

  • Bachelor’s degree or equivalent experience in a technical field.
  • Strong knowledge of AI/automation in financial services.
  • Experience with Copilot Studio, M365 Copilot and Azure preferred.

Responsibilities

  • Design and deliver AI-enabled business workflows embedded in lines of business.
  • Collaborate with AI governance and central teams for scalability.
  • Research, document, and validate AI-driven transformation initiatives.
  • Develop solutions using Copilot Studio, M365 Copilot, and Azure services.
  • Drive AI ideation, sprints, and rapid prototyping for business impact.
  • Maintain stakeholder relationships and communicate with a wide audience.

Skills

AI/ML concepts
Workflow automation
Communication

Education

Bachelor's degree in CS or related

Tools

Copilot Studio
M365 Copilot
Azure
CI/CD tools

Job description

Overview:

As an AI Enterprise Architect, your role will be that of a business embedded technologist responsible for identifying, designing, and delivering AI enabled solutions directly within the line of business with a dotted line relationship to the centralized AI team for governance and scalability. In this role, you will have an excellent opportunity to work closely with business users in a collaborative environment, while executing & assisting with the design and development of business-driven projects

The AI Enterprise Architect is a thinker and a hands-on innovator. The ideal candidate is a passionate advocate for AI, someone who thrives on building AI driven workflows and someone whose passion is uncovering hidden inefficiencies and unlocking new levels of productivity through intelligent automation

Responsibilities:
  • Design and build business driven workflow projects using Copilot based intelligent agents, low code/ no code automations, and AI assisted workflows using Microsoft Power Platform, Copilot Studio, and Microsoft 365 Chat
  • Conduct research and gather data to support project planning and execution.
  • Prepare technical documentation, reports and presentations as well as support the testing and validation of unit code, in conjunction with error handling through pipelines.
  • Identify untapped opportunities and build for AI-driven transformation within line of business processes
  • Build solutions primarily using Copilot Studio, M365 Copilot, Azure services and platforms with a focus on Generative AI.
  • Drive discovery sprints and AI ideation efforts
  • Stay abreast of broad AI efforts and initiatives by collaborating with our bank-wide AI department
Qualifications:
  • Bachelor's degree in computer science, information-technology, engineering, system analysis, Artificial Intelligence & Robotics or a related study, or equivalent experience.
  • Strong knowledge of general Financial Services & Technology is preferred.
  • Working knowledge of M365 Copilot, Copilot Studio, knowledge of cloud platforms and rapid prototyping tools
  • Strong understanding & working knowledge of Agentic AI including LLMs, Agents, prompts and other protocols
  • Strong understanding of process consulting, process engineering, operations modernization, or business transformation in financial services
  • Understanding of automated code build solutions for CI/CD Pipelines.
  • Strong interpersonal & problem-solving skills along with the ability to build relationships with team members, stakeholders, and external partners.
  • Tech Stack: Full stack developer, Strong azure & cloud knowledge and Built applications using AI
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