Harrison Street Asset Management
alternative investment management
AVP,AIEngineer,Innovation
Neural analysis suggests this role is
optimal for Mid candidates.
“AVP, AI Engineer, Innovation at Harrison Street Asset Management. Skills: AI/ML Development & Deployment, Retrieval-Augmented Generation (RAG), agentic AI workflows, LLMs, Generative AI, Data Engineering & Infrastructure, cloud platforms. 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 fro”
What You'll Achieve.
further enhance decision making; surface insights from structured and unstructured data; translate model outputs into human-readable insights; advance the Firm's AI capabilities
Industry & Context.
What They're Looking For.
Must Have
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, data engineering skills, Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders
Nice to Have
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
What You'll Do.
and deploy production-grade machine learning models to further enhance decision making
Build and maintain Retrieval-Augmented Generation (RAG) architectures
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
and structure proprietary datasets across the Firm's investment portfolio
Work within secure infrastructure to deploy scalable
Integrate AI models with existing Firm systems
and reporting workflows
Ensure all AI systems are designed with human-in-the-loop principles
Adhere to the Firm's AI Policy
including data access controls
explainability standards
and regulatory compliance
Build guardrails around AI scope
and output reliability
How You'll Work.
Team & 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
Communication Scope
Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders
Process & Methodology
Ability to lead projects from concept through production with minimal supervision
Full Job Description
## Description Harrison Street Asset Management ("HSAM") is a leading global alternative investment management firm focused on real estate, infrastructure, and credit strategies across North America and Europe. Headquartered in Chicago, Toronto, and London with offices across North America, Europe, Asia and the Middle East, the firm has over $108 billion in assets under management on behalf of institutional investors and registered investment advisors globally. Founded on a culture of innovation, HSAM is an early mover in alternative real estate and mid-market infrastructure. Today, the firm’s global team, consisting of more than 520 professionals, is committed to creating long-term value through deep sector expertise and forward-thinking strategies. 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 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 thinki
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