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Senior Associate, AI Enablement Lead

Job in Radnor Township, Delaware County, Pennsylvania, USA
Listing for: TIFF Advisory Services
Full Time position
Listed on 2026-09-21
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below

Job Details:

Job Location:

Boston, MA Office
- Boston, MA 02109, Position Type:
Full Time, Education Level: 4 Year Degree, Salary Range: $ - $ Salary/year, Position:
Senior Associate - AI Enablement Lead

Location:

Hybrid
- Radnor, PAFirm: ~80-person firm managing $11 billion for US non-profits

Compensation:
Competitive compensation and benefits package

Culture:
Mission-driven, cross-disciplinary, intellectually rigorous approach

Reports To:

Head of Software Engineering

Organizational Overview

TIFF was founded in 1991 by a network of foundations and is a mission-driven, not-for-profit organization dedicated to delivering investment solutions to foundations, endowments, and other charitable institutions. Since its inception, TIFF has exclusively served the non-profit community by providing experienced manager selection and access, risk-sensitive asset allocation, and integrated member service to institutions with long-term investment horizons. TIFF provides major endowment investment capabilities to non-profits that lack the scale and in-house resources to pursue sophisticated investment strategies on their own.

TIFF Advisory Services is the regulated advisory firm that administers the investment vehicles bearing the TIFF name. TIFF’s mission, credo, and board membership can be found f.org.

Position

The Senior Associate - AI Enablement Lead is a new role within TIFF’s Technology team, created to help the firm get real value from AI. The firm’s AI capabilities are expanding quickly, but most staff are already at capacity, with little room to learn new tools or rethink how things get done. The AI Enablement Lead does two things: teaches staff to use the firm’s approved AI tools on their real day-to-day tasks, and embeds with teams to build alongside them, prototyping agents, automations, and proof-of-concept applications;

most of the teaching happens through the building. The role requires recent, hands‑on generative AI experience and carries no business-as-usual responsibilities; its sole focus is making AI part of how the firm operates.

Validated prototypes are handed to the engineering team to be rebuilt, secured, and supported; the Lead proves the concept, engineering institutionalizes it, and that handoff is a hard line. The role is technology-forward but is not an engineering role, and works closely with the firm’s Business Analyst to turn validated concepts into well-scoped requirements.

Key Responsibilities include, but are not limited to:

Enablement and education
  • Build and run a practical enablement program that raises day-to-day AI fluency across the firm, grounded in people’s real workflows rather than generic tool demonstrations.
  • Serve as the firm’s go‑to resource for AI questions: how to approach a task, which tool fits, and where AI is and is not the right answer; follow the tool landscape and advise leadership on what is worth adopting, and when.
  • Develop role‑specific guidance, playbooks, and reusable patterns so good practice spreads without the Lead in the room, and partner with firm‑wide rollout owners to drive sustained adoption.
Prototyping and proof of concept
  • Work directly with teams to build agents, automations, and proof‑of‑concept applications that test whether an AI idea delivers real value before the firm commits engineering resources.
  • Move from idea to working prototype quickly using AI‑assisted and low‑code tooling, with enough rigor that stakeholders can judge the concept on something real.
  • Hand validated prototypes to the engineering team with clear context and requirements so they can be rebuilt, secured, and supported as production systems.
  • Maintain a prioritized pipeline of AI initiatives, steer teams away from duplicated effort, and report adoption and impact metrics so the…
Position Requirements
10+ Years work experience
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