AI Solutions Architect

## AI Solutions Architect Apply:
US MA Boston (500 Boylston Street):
US NY New York:
Full time:
Posted Yesterday:
R557
** Firm Overview
** Providence Equity Partners L.L.C. is a leading middle-market private equity firm with deep sector expertise in media, communications and education focused on North America and Europe. Providence looks to invest in businesses that are benefiting from the long-term growth trends around experiences, learning, and connectivity by partnering with exceptional management teams to build enduring, scaled companies. Founded in 1989 in Providence, Rhode Island, the firm has invested over $40 billion across more than 180 portfolio companies with a transatlantic investment team based primarily in London, New York and Boston.

Through disciplined portfolio construction, prudent risk management and a collaborative culture, the firm seeks to deliver strong results across market cycles. To learn more, please visit
** Position Overview
** The AI Solutions Architect is responsible for applying AI technologies to solve high-value business problems across PEP and its portfolio companies. This role will join the Firm’s Portfolio Operations team and partners with IT, Investment, Finance, Operations, and other business teams to understand business needs, identify where AI can meaningfully improve outcomes, and translate those opportunities into practical, secure, and scalable solutions.

The AI Solutions Architect will lead the evaluation, configuration, integration, and implementation of AI-enabled solutions using commercially available AI models, platforms, and enterprise technologies. The role will guide initiatives from opportunity identification and solution design through implementation, adoption, measurement, and continuous improvement. Success in this role requires strong technical fluency, business judgment, and the ability to translate business needs into practical solutions while ensuring appropriate security, privacy, governance, and responsible AI controls.
** Responsibilities
* * The AI Solutions Architect will be responsible for the following:
* Partner with IT, Investment, Finance, Operations, and other business teams to understand business processes, identify high-value opportunities for AI, and prioritize initiatives based on business value, feasibility, risk, and scalability.
* Translate business needs into practical AI-enabled solutions by evaluating available technologies and determining how existing AI tools, platforms, and enterprise capabilities can be applied to improve productivity, decision-making, operational effectiveness, or financial outcomes.
* Design solution approaches that leverage existing AI capabilities, including generative AI platforms, intelligent agents, enterprise search, workflow automation, and other commercially available technologies.
* Leverage current, commercially available AI solutions within existing business processes and enterprise systems, including Microsoft 365, SharePoint, Slack, Workday, Deal Cloud, and other firm and portfolio company platforms to solve prioritized business cases.  Where an existing solution is not the best fit, recommend alternative AI approaches.
* Evaluate AI models, platforms, applications, and third-party solutions and make recommendations based on business requirements, functionality, ease of implementation, integration needs, cost, security, scalability, and operational risk.
* Determine the appropriate solution approach, including when to leverage an existing enterprise capability, configure a commercial AI product, integrate multiple technologies, or use a non-AI solution when it better addresses the business need.
* Lead AI initiatives from business problem definition through implementation and adoption, coordinating solution design, configuration, integration, testing, stakeholder engagement, rollout, monitoring, and ongoing enhancement.
* Establish reusable solution patterns, implementation approaches, and playbooks that enable successful AI use cases to be replicated and scaled across business functions and portfolio companies.
* Partner with Technology and Legal teams to incorporate security, privacy, governance, regulatory, and responsible AI requirements into the selection, configuration, integration, and use of AI solutions.
* Define and monitor measures of solution effectiveness and business impact, including adoption, productivity improvement, financial value, and return on investment, and use results to guide enhancements and…