AI Infrastructure Engineer

What we're looking for

• Design and Build Data Pipelines:

• Architect and implement robust data ingestion processes to centralize information from disparate sources (internal systems, third-party APIs, regulatory filings, etc.).

• Ensure these pipelines transform raw data into structured, query-able formats suitable for analysis.

• Develop Document AI Ingestion :

• Integrate AI-driven document processing pipelines to ingest and parse unstructured documents (e.g. PDF reports, financial statements, due diligence questionnaires).

• Leverage OCR and natural language processing techniques to extract key data and normalize it for inclusion in the central data repository.

• Architect Platform (Portal, Vault, Engine):

• Design the overall architecture of the firm’s internal operating system and seamlessly integrate its three core modules.

• Oversee development of a modular employee-facing Portal (web front end for dashboards, alerts, and workflow tools), a governed Vault (secure data/document store with normalization and lineage tracking), and a scalable Engine (compute layer for data processing, analytics, and simulations), ensuring they function together as a cohesive platform.

• Build Analytics & Simulation Engine:

• Develop and maintain the high-performance compute environment that powers quantitative analytics and simulations.

• Implement the Engine to run data processing jobs, portfolio risk models, and scenario simulations, enabling the investment team to derive insights and drive decision-making in real time.

• Implement Secure Cloud Infrastructure:

• Evaluate and deploy cloud infrastructure solutions optimized for our proprietary data and AI workloads.

• Design a secure, scalable architecture with security-by-design principles – including role-based and record-level access controls, comprehensive data lineage, and audit logging – to ensure every data element is traceable to its source and all usage is compliant with governance policies.

• Education: Bachelor’s degree in computer science, Data Engineering, Software Engineering, or a related field. (Master’s degree is a plus.)
• Experience: 5+ years of hands-on experience in data engineering, software engineering, or AI infrastructure roles, with demonstrated expertise building data/AI platforms and pipelines from scratch. Experience with private markets, financial services, or investment data is highly preferred.

• Skills:

• Strong proficiency in SQL and database design (SQL Server experience required)

• Expert-level programming skills in Python (or similar languages) for data processing and automation

• Experience designing and implementing ETL/ELT frameworks and complex data pipelines

• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and cloud-native data tools

• Ability to work with and integrate unstructured data sources (JSON, APIs, PDFs, etc.), including use of OCR and NLP for text data

• Familiarity with modern AI/ML technologies (e.g. large language models, document AI frameworks) and their infrastructure requirements

• Strong architectural thinking with the ability to design scalable, maintainable systems

• Experience with data modeling, data warehousing, and ensuring data quality/integrity

• Certifications: Not required, but relevant cloud or data engineering certifications (e.g. AWS Certified Data Analytics, Azure Data Engineer Associate) are a plus.

• Experience building data or analytics systems for alternative investments, private equity, or family office environments
• Background working with financial data vendors and proprietary data sources
• Familiarity with quantitative finance or investment analytics workflows
• Experience leading technical initiatives or mentoring junior engineers
• Knowledge of data visualization tools and business intelligence platforms
• Track record of replacing legacy systems or third-party platforms with internal solutions
• Experience with real-time data processing and streaming architecture
• Exposure to MLOps or deploying machine learning models in a production environment (preferred)

Cultural Fit

• Thrives in a fast-paced, entrepreneurial environment with high autonomy and ambiguity. Takes initiative and demonstrates a bias toward action and rapid iteration when tackling challenges.
• Willingness to be on-site in our Houston office Monday through Thursday (8:30am – 5:30pm) to facilitate close collaboration and quick decision-making within the team.
• Ability to effectively leverage work-from-home Fridays for focused work while remaining responsive and aligned with team objectives.
• Committed to going the extra mile when needed, including occasional weekend availability for critical projects or firm-wide events.
• Excellent communication and collaboration skills, fitting a culture that values transparency, teamwork, and effective cross-functional engagement.

Benefits

• Competitive compensation with performance-based and long-term incentives.
• Health and Wellness: Comprehensive health insurance coverage, including medical, dental, and vision plans
• Work-Life Balance: Flexible hybrid work arrangements with a primary in-office presence in Houston and a generous PTO policy
• Professional Development: Opportunity to define and build technical infrastructure from the ground up; direct exposure to executive leadership and investment decision-making; and a potential growth path into technical leadership roles as the team expands
• Additional Perks : Ground-floor opportunity with a well-capitalized family office; work alongside future software engineers and quantitative researchers as the technology team grows; direct impact on multi-billion-dollar investment decisions; and a collaborative culture that values innovation and technical excellence