Source description
About the role
AI/ML Development & Deployment
Design, develop, and deploy production-grade machine learning models to further enhance decision making
Build and maintain Retrieval-Augmented Generation (RAG) architectures, agentic AI workflows, and multi-model orchestration pipelines to surface insights from structured and unstructured data
Develop AI tools that translate model outputs into human-readable insights
Data Engineering & Infrastructure
Build and optimize data pipelines to ingest, clean, and structure proprietary datasets across the Firm's investment portfolio
Work within secure infrastructure to deploy scalable, secure AI solutions
Integrate AI models with existing Firm systems, databases, and reporting workflows
Cross-Functional Collaboration
Partner with investment, asset management, portfolio management, and Impact teams to identify AI use cases and translate business needs into technical solutions
Facilitate innovation workshops, design thinking sessions, and prototype demonstrations for senior leadership
Expand existing relationships with external partners, startups, and research institutions as appropriate to advance the Firm's AI capabilities
Responsible AI & Governance
Ensure all AI systems are designed with human-in-the-loop principles
Adhere to the Firm's AI Policy, including data access controls, bias mitigation, explainability standards, and regulatory compliance
Build guardrails around AI scope, data access, and output reliability
More at Harrison Street Asset Management