Harrison Street is seeking to hire an AI Engineer within the Innovation Department, reporting to the Chief Innovation Officer. This individual will be instrumental in designing, building, and deploying AI/ML systems that further enhance the Firm’s AI strategy.
Responsibilities:
- 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
- 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
- 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
- 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
AI/ML Development & Deployment
Data Engineering & Infrastructure
Cross-Functional Collaboration
Responsible AI & Governance
Requirements:
- Bachelor's degree in Computer Science, Machine Learning, Data Science, Mathematics, Physics, or a related quantitative field
- 3–7 years of professional experience in AI/ML engineering or a closely related role
- Hands-on experience with LLMs and Generative AI, including RAG, prompt engineering, embeddings, fine-tuning, and agentic frameworks
- Experience with cloud platforms
- Strong data engineering skills
- Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders
- Master's degree or PhD in a relevant field
- Prior experience in financial services, investment management, or real estate understanding of deal execution, due diligence, underwriting, and portfolio analytics
- Experience building and deploying AI systems in regulated environments
- Translational Thinking - Ability to bridge AI capabilities and investment decision-making, making models actionable
- Human-Centered Design - Commitment to building AI systems that augment rather than replace human judgment
- Intellectual Curiosity - Passion for staying current with emerging AI technologies, industry trends, and competitive developments
- Ownership & Execution - Ability to lead projects from concept through production with minimal supervision
Preferred
Competencies
Skills Required
- Bachelor's degree in Computer Science, Machine Learning, Data Science, Mathematics, Physics, or a related quantitative field
- 3-7 years of professional experience in AI/ML engineering or a closely related role
- Hands-on experience with LLMs and Generative AI
- Experience with cloud platforms
- Strong data engineering skills
- Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders
- Master's degree or PhD in a relevant field
- Prior experience in financial services, investment management, or real estate
- Experience building and deploying AI systems in regulated environments
What We Do
Harrison Street is one of the leading investment management firms exclusively focused on alternative real assets. Since inception in 2005, the firm has created a series of differentiated investment solutions focused on demographic-driven, needs-based assets. The firm has invested across senior housing, student housing, build-to-rent, healthcare delivery, life sciences and storage real estate as well as social, utility and digital infrastructure. Headquartered in Chicago and London, with offices throughout North America, Europe and Asia, the firm has more than 290-employees and approximately $55 billion in assets under management. Clients of the firm include a global institutional investor base domiciled in North America, Europe, Middle East, Asia and Latin America. Harrison Street was awarded Best Places to Work by Pensions & Investments for ten years (2014-2020, 2022-2024) and since 2019 has won 15 awards from PERE, including three for the 2023 Awards: Alternatives Investor of the Year – Global, Data Centers Investor of the Year – North America, and ESG Firm of the Year - North America. Harrison Street did not pay any compensation in exchange for the aforementioned awards. For more information, please visit www.harrisonst.com. Assets under management ("AUM") reflects AUM for the Firm’s investment advisory and asset management clients. The information contained on this site is for informational purposes only and should not be considered as investment advice or as a recommendation of any particular strategy or investment product. This profile should not be considered as a solicitation for services *As used in this website, unless the context otherwise requires, "Harrison Street," “HSRE”, “HS” or the "Firm" refers collectively to Harrison Street Real Estate Capital LLC, its subsidiaries, including Harrison Street Advisors.
