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. 

AI Innovation & Strategy:  

• Serve as a subject matter expert on generative AI, agents, and agentic architectures, providing thought leadership and strategic guidance to portfolio companies. 

• Identify and evaluate emerging AI technologies and trends, assessing their potential impact on portfolio company product roadmaps. 

• Develop and evangelize best practices for AI platform design, development, and deployment. 

Portfolio Company Collaboration & Guidance:  

• Partner with portfolio company technology and product teams to identify and prioritize AI opportunities. 

• Provide hands-on guidance and support for the design and implementation of AI-powered solutions. 

• Conduct architectural reviews and provide recommendations for optimizing AI platform performance, scalability, and security. 

• Guide portfolio companies through the design considerations of agentic architectures. 

AI Platform Architecture & Design:  

• Design and implement scalable, resilient, and secure AI platforms leveraging public cloud AI services (AWS, Azure, GCP). 

• Develop and maintain reference architectures for AI applications, including generative AI models and agentic systems. 

• Define standards and best practices for AI model development, deployment, and monitoring. 

• Ensure proper governance of AI platforms. 

Generative AI & Agentic Architectures:  

• Lead the development and implementation of generative AI solutions, including large language models (LLMs) and other generative models. 

• Design and implement agentic systems, incorporating autonomous agents and multi-agent collaboration. 

• Evaluate and select appropriate generative AI and agentic frameworks and tools. 

• Hands on experience with prompt engineering, and model fine tuning. 

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. 

Implementation & Deployment:  

• Provide hands-on support for the implementation and deployment of AI applications in production environments. 

• Troubleshoot and resolve technical issues related to AI platform performance and scalability. 

• Ensure seamless integration of AI solutions with existing portfolio company systems. 

Due Diligence:  

• Assist in the due diligence process of potential portfolio companies, assessing their AI technology and capabilities. 

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. 

• Minimum of 8+ years of experience in AI platform architecture and development.  

• Deep expertise in generative AI, agents, and agentic architectures.  

• Hands-on experience implementing AI applications in production environments.  

• Strong understanding of public cloud AI services (AWS, Azure, GCP).  

• Proven ability to design and implement scalable and resilient AI platforms.  

• Excellent communication, presentation, and interpersonal skills.  

• Experience with portfolio companies, or within a consulting environment is a plus. 

Minimum of 8 years of experience in the following: 

• Generative AI (LLMs, Diffusion Models, etc.)  

• Agentic Architectures and Autonomous Agents  

• Cloud AI Platforms (AWS, Azure, GCP)  

• AI Model Development and Deployment  

• AI Platform Architecture and Design  

• Prompt Engineering  

• Machine Learning and Deep Learning  

• Problem-Solving and Analytical Skills  

• Communication and Collaboration 

Vista is a leading global investment firm that exclusively invests in enterprise software, data and technology-enabled organizations across private equity, permanent capital, credit and public equity strategies, bringing an approach that prioritizes creating enduring market value for the benefit of its global ecosystem of investors, companies, customers and employees. Vista’s investments are anchored by a sizable long-term capital base, experience in structuring technology-oriented transactions and proven, flexible management techniques that drive sustainable growth. Vista believes the transformative power of technology is the key to an even better future – a healthier planet, a smarter economy, a diverse and inclusive community and a broader path to prosperity. Further information is available at vistaequitypartners.com. Follow Vista on LinkedIn, @Vista Equity Partners, and on X, @Vista_Equity.