Senior Associate, AI

Tishman Speyer creates vibrant destinations and dynamic environments that inspire innovation and connected communities. As a diversified developer operator and investment manager of top-tier real estate in 33 markets across the globe our business choices are driven by the belief that real estate should unlock human potential. Tishman Speyers diversified portfolio spans market rate and affordable residential communities premier office properties and retail spaces industrial facilities and mixed-use campuses. We create state-of-the-art life science centers through our Breakthrough Properties joint venture and foster innovation through our strategic proptech investments. By combining global perspective with local expertise and a personalized approach we are able to anticipate our customers evolving needs. We were the first real estate company to introduce asset-wide amenity services through our ZO platform and the first traditional real estate company to create its own flexible space and coworking brand Studio.

Since our founding in 1978 Tishman Speyer has acquired developed and operated 576 properties totaling 233 million square feet with a combined value of over $131 billion (U.S.). Tishman Speyer currently has approximately $65 billion in assets under management including iconic properties such as New York Citys Rockefeller Center São Paulos Torre Norte The Springs in Shanghai Paris Bourse in Paris and Frankfurts OpernTurm and TaunusTurm.

Summary of the Position:

Tishman Speyer is seeking a Senior Associate AI to join the firms AI team. Reporting directly to the Senior Director AI this individual will be a hands-on builder and the teams primary delivery partner taking ownership of AI projects from a loosely defined request through to a working solution that people actually use.

The AI team works across the firm including Acquisitions Debt & Capital Markets Portfolio Management Asset Management Legal Accounting and Marketing to find where AI can save time or improve decisions and then build it. The work spans AI workflows and skills for enterprise assistants such as Claude and ChatGPT document extraction and data pipelines on Databricks internal AI applications and the rollout training and governance needed to get those tools adopted safely.

The ideal candidate is analytically strong technically capable and comfortable being handed an ambiguous problem and coming back with a result. They use modern AI tools including AI coding agents as a core part of how they work and they hold themselves to a high standard for checking their own output.

Examples of the Work:

• Turning an offering memorandum and underwriting model into a standardized investment one-pager and presentation slide in minutes rather than hours.

• Extracting loan terms from financing documents into a governed deal ledger that replaces a manually maintained spreadsheet.

• Building a searchable AI assistant over the firms historical investment committee materials.

• Packaging a teams recurring process as a reusable AI skill available in both Claude and ChatGPT.

• Taking a business teams request for a new AI connector or integration through security review testing and a phased rollout.

Key Responsibilities:

• Own delegated AI projects end to end: clarify the business problem with stakeholders scope the approach build test deploy and support the solution after launch.

• Design and build AI workflows skills agents and connectors on enterprise AI platforms (e.g. Claude ChatGPT Model Context Protocol servers).

• Develop document-extraction and data pipelines on Databricks (Python SQL PySpark Unity Catalog AI Functions Vector Search) that turn unstructured documents into reliable structured data.

• Build and maintain internal AI applications and tools for business users including Databricks Apps and lightweight web applications.

• Measure AI output quality: assemble test sets from real examples track accuracy set thresholds for human review and monitor results in production.

• Manage intake and enablement of new AI tools connectors and integrations partnering with Cybersecurity Infrastructure and Applications teams on security review data-access approvals and rollout.

• Work directly with business teams to run discovery sessions document current workflows and quantify time saved and adoption once a solution is live.

• Produce clear written materials including design documents one-page project summaries status updates training content and how-to guides for both technical and non-technical audiences.

• Coordinate day to day with implementation partners and vendors and track work through GitHub Issues and Projects.

• Support AI education across the firm including training sessions new-hire presentations and the firms AI use-case program.

Skills & Qualifications:

• Bachelors degree in a quantitative or technical field such as mathematics statistics computer science engineering or economics.

• 3 years of experience in data analytics data engineering data science software development or technology-focused consulting / digital transformation.

• Strong proficiency in Python and SQL.

• Hands-on experience building with large language models (e.g. Anthropic Claude OpenAI) including prompt design structured extraction retrieval agents or workflow automation.

• Regular practical use of AI coding assistants (e.g. Claude Code Codex GitHub Copilot Cursor) and working knowledge of Git and GitHub.

• Experience with a cloud data platform; Databricks strongly preferred (Spark Delta Lake Unity Catalog).

• Strong quantitative and analytical skills including comfort with statistical reasoning and with measuring whether a solution is actually working.

• Excellent written communication skills.

• Experience in real estate investment management or financial services is a plus as is familiarity with commercial real estate documents (offering memoranda rent rolls leases loan documents) and Excel-based financial models.

• Experience with web application development (e.g. React TypeScript FastAPI).

Critical Competencies for Success:

• Ownership: takes a loosely defined request asks the right clarifying questions up front and delivers a finished result without needing step-by-step direction.

• Judgment on when to escalate: surfaces decisions risks and blockers early rather than guessing.

• Rigor: tests on real data and the real production path before calling something done and reports results accurately including what did not work.

• Clear concise communication: short status updates and plain-language explanations for senior non-technical audiences.

• Pragmatism: ships a working first version quickly and improves it while respecting security data governance and confidentiality requirements.

• Curiosity and speed of learning: keeps pace with a fast-moving AI landscape and evaluates new tools on practical business value.

• Credibility with investment professionals and the ability to manage several stakeholders and projects at once.

• Discretion with confidential deal investor and firm information.

On-site presence is required for this position.

The base compensation range for this role is $155000 to $170000. This role is also eligible for a discretionary annual bonus as well as access to our comprehensive medical dental and vision insurance life and disability insurance 401(k) plan (with matching contributions) wellness benefits and all other benefits afforded to full-time Tishman Speyer employees.

This base range reflects a number of factors including but not limited to relevant experience skill sets and/or licensure required of an individual in this particular role. The base range is also specific to members of Tishman Speyers New York team as weve considered factors specific to this geography.

Tishman Speyer is deeply committed to creating and maintaining a diverse workforce which promotes different views and perspectives. We expect our leaders and employees alike to champion diversity and inclusion practices. Tishman Speyer has several employee affinity and interest groups that provide employees opportunities to develop professional relationships across the business and identify opportunities for development and advancement.

We are proud to be an Equal Opportunity Employer and treat all applicants for employment equally based upon job-related qualifications and without regards to race color age sex sexual orientation gender identity gender expression marital status military or veteran status national origin disability religion or any other characteristics protected by law.