Vice President of Artificial Intelligence
Company Description
Atlas Capital Ventures is a distinguished single family office with roots in the plastics manufacturing industry, focusing on consumer and healthcare sectors. Led by Ben Johnson and Erik Vining, the office pursues prudent investment strategies across both public and private markets. Atlas Capital Ventures specializes in equity strategies, private equity, and venture capital investments across diverse, high-potential industries. The firm is driven by a commitment to innovation, excellence, and long-term value creation, seeking to identify and nurture promising ventures. Team members join a lean, entrepreneurial environment where analytical rigor and strategic insight directly impact investment outcomes. Role Description The Vice President of Artificial Intelligence is a part-time, remote role responsible for shaping and executing the firm’s AI strategy across investment research, portfolio management, and operational efficiency. Day-to-day activities include designing and implementing AI-driven analytics tools, developing models for pattern recognition in market and portfolio data, and applying natural language processing to automate and enhance research workflows. The role involves collaborating with investment leaders to integrate AI insights into decision-making, evaluating AI-related opportunities in venture and private equity, and establishing best practices for data governance and model evaluation. The Vice President of Artificial Intelligence will also monitor emerging AI technologies, recommend strategic partnerships, and provide guidance on ethical and responsible AI use in financial contexts.
Qualifications
Strong foundational expertise in Computer Science and Data Science, including algorithms, data structures, and statistical modeling. Demonstrated experience in Pattern Recognition and Analytics for financial or investment-related datasets. Hands-on proficiency in Natural Language Processing (NLP) for tasks such as document analysis, sentiment detection, and information extraction. Advanced skills in programming languages commonly used in AI (e.g., Python), and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven background applying AI or quantitative methods within finance, investment management, or a related domain. Ability to work independently in a remote, part-time setting, managing priorities and delivering clear, actionable insights. Excellent analytical thinking and communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Graduate degree in Computer Science, Data Science, Engineering, Mathematics, or a related field preferred; equivalent practical experience considered. Knowledge of ethical AI practices, data privacy considerations, and responsible model deployment in high-stakes environments.