Sr. Data Scientist / AI Engineer

Hudson Gate Partners has been retained to find the first Data Scientist/AI Engineer for an Austin-based private equity firm that has been around for two decades focused on growing medium sized companies in the industries of manufacturing, distribution, and business service companies.This hire will own the identification and lead the development of internal projects for the firm with a focus on enhanced and AI-powered automation workflows for advanced investment intelligence, deal operations, due diligence, reporting and portfolio monitoring. In addition, this hire will be the go-to Data Science and AI/ML Engineering resource for the firm's partner companies, helping them navigate and execute various AI and automation strategies to enhance business.The ideal candidate is technically capable, financially literate, and comfortable working in a fast-paced, relationship-driven environment. They will engage directly with partners and senior professionals, understand business context of both the firm's needs and the portfolio companies, and translate operational needs into working solutions.KEY RESPONSIBILITIES:Workflow Discovery & PrioritizationConduct structured interviews with deal teams, finance, and operations staff to document current workflowsIdentify and rank automation opportunities by effort, impact, and feasibilityDevelop and maintain a rolling roadmap of automation projectsAutomation Development & DeploymentDesign and build automation workflows using no-code/low-code platformsDeploy integrations between firm systemsImplement LLM-based solutions for document review, summarization, and data extractionBuild and maintain dashboards and reporting automations for portfolio monitoring and LP communicationsAutomate deal sourcing, screening, and scoring workflowsBuild market research and competitor analysis pipelinesSystems IntegrationConnect disparate platforms and data sources through APIs and automation middlewareMaintain data integrity and security standards across all integrationsEnsure all automations comply with firm data handling and confidentiality policiesMaintenance & IterationMonitor deployed automations for performance, errors, and reliabilityUpdate and improve workflows as firm needs or tools evolveMaintain clear technical documentation for all active automationsAI EnablementTrain internal staff staff and external partners on how to use and interact with new tools and automated workflowsIdentify and support opportunities/projects to use AI and machine learning to create efficiency within partner companies.Act as the internal point of contact for all AI and automation questionsProvide regular updates to leadership on project status and measured efficiency gains during due-diligence processes to define/scope opportunities for AI/Automation that exist with new partner companies.PREFERRED QUALIFICATIONS5+ years of prior experience in consulting, private equity, venture capital, investment banking, or asset managementWorking knowledge of RAG (Retrieval-Augmented Generation) pipelinesExperience with Agentic AI frameworks (LangChain, CrewAI, AutoGen, or similar)Basic cloud infrastructure knowledge (AWS, Azure, GCP)Both a strong technical background as well as an understanding of business process improvement and optimization strategies

Created: 2026-05-09