Harrison Street Logo

Harrison Street

AVP, AI Engineer, Innovation

Reposted 4 Days Ago
Hybrid
Chicago, IL, USA
125K-200K Annually
Mid level
Hybrid
Chicago, IL, USA
125K-200K Annually
Mid level
The AI Engineer will develop and deploy AI/ML models, optimize data pipelines, and collaborate with teams to enhance investment decision-making using AI technologies. Responsibilities include maintaining AI governance and facilitating innovation workshops.
The summary above was generated by AI
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 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

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
    • Preferred

      • 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
      • Competencies

        • 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

Harrison Street is proud to be an equal opportunity employer committed to diversity, equity and inclusion in the workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to veteran status, uniform service member status, race, color, religion, sex, national origin, age, physical or mental disability, genetic information or any other protected class under federal, state, or local law. 
 
If you require accessibility assistance applying for open positions, please contact our ADA Accessible Line at (312) 920-0500 or [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 
 
Harrison Street does not accept unsolicited headhunter and agency resumes. Harrison Street will not pay fees to any third-party agency or company that does not have a signed agreement with Harrison Street. 

HQ

Harrison Street Chicago, Illinois, USA Office

444 W Lake St, Chicago, Illinois, United States, 60606

Similar Jobs

6 Minutes Ago
Hybrid
148K-240K Annually
Senior level
148K-240K Annually
Senior level
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
As a Principal Digital Product Owner, you will manage and enhance a critical supply planning digital product, ensuring alignment with business needs, data governance, and leading user acceptance testing. Your role will include strategic ownership, analytical problem-solving, and collaboration with IT and business stakeholders to drive measurable improvements and support scalable supplier readiness.
Top Skills: Azure DevopsJIRASnowflake
6 Minutes Ago
Hybrid
81K-122K Annually
Junior
81K-122K Annually
Junior
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Perform data collection, cleansing, modeling and analysis on large datasets to support dealer inventory and customer service decisions. Apply machine learning, NLP, and text analytics, build scalable data models, create visualizations (Power BI), and collaborate with stakeholders to deliver actionable insights using Python, SQL, Snowflake, Azure, and Dataiku.
Top Skills: AzureDataikuMachine LearningNlpPower BIPythonSnowflakeSQLText Analytics
6 Minutes Ago
In-Office
Chicago, IL, USA
175K-225K Annually
Senior level
175K-225K Annually
Senior level
Fitness • Hardware • Mobile • Software • Sports • Transportation • Esports
Design, build, and run SRAM's commercial legal infrastructure including CLM, templates, playbooks, and AI-assisted workflows. Lead complex negotiations for manufacturing, supply, distribution, sponsorship, and international deals. Drive adoption of standardized tools, capture institutional knowledge, support global supply chain and trade compliance, and scale the commercial legal function while providing clear, business-focused legal advice.
Top Skills: Ai-Assisted WorkflowsContract Lifecycle Management (Clm) PlatformLegal Technology

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account