Director, Enterprise AI Platform Architect at Vista Equity Partners Management
Austin, TX 78701, USA -
Full Time


Start Date

Immediate

Expiry Date

12 Jun, 25

Salary

0.0

Posted On

12 Mar, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Model Development, Azure, Design, Analytical Skills, Artificial Intelligence, Aws, Deep Learning, Collaboration, Platform Architecture, Computer Science, Problem Solving, Machine Learning, Interpersonal Skills

Industry

Information Technology/IT

Description

Position Summary:
At Vista, we are redefining how data is leveraged to drive business growth and operationalize AI. We are seeking a hands-on Data Architect who will both lead the design and actively lead the development of our robust data architecture. As a Data Architect, you will lead data engineers or cross-functional teams, playing a critical role in building and optimizing the data infrastructure that powers real-time analytics and advanced business insights. This is a hands-on role where you will be coding, testing, and troubleshooting alongside the team, ensuring high-quality delivery at all levels of the data stack.
Vista Equity Partners is seeking a visionary and hands-on Enterprise AI Platform Architect to drive AI innovation across our portfolio companies. This role will be pivotal in guiding our investments towards adopting cutting-edge AI technologies, particularly generative AI, agents, and agentic architectures. The ideal candidate will possess deep technical expertise, a strong understanding of cloud AI capabilities, and a passion for translating emerging AI trends into tangible business value. This architect will collaborate closely with portfolio company technology teams to design, implement, and scale AI solutions that enhance product offerings and drive competitive advantage.
Responsibilities:

CLOUD AI CAPABILITIES:

  • Maintain deep expertise in public cloud AI services, including machine learning platforms, generative AI APIs, and agentic frameworks.
  • Evaluate and recommend appropriate cloud AI services for specific use cases.
  • Optimize cloud AI deployments for cost-effectiveness and performance.
Responsibilities

Please refer the Job description for details

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