AI Prototyping & Transformation Senior Associate

The Transformation Office is building a rapid prototyping capability that moves engagements from recommendation to working solution. If you’re a builder who can embed within client engagements, translate business challenges into solutions, and quickly develop working prototypes that demonstrate what’s possible—not in months, but in days—join our team. As a Senior Process Improvement Associate within the Transformation Office, you will be a hands-on AI-native, technically credible, and business-fluent. You will build prototypes that validate feasibility, align stakeholders, and hand our partners in Product and Technology a working proof point in place of a specification. You'll also teach: helping teams understand how to build and migrate toward AI-first solutions using firm-prescribed frameworks and platforms. You are not a tool enthusiast looking for a place to use the latest model. You are a problem-solver who happens to be exceptional with the tools — and disciplined enough to know when not to reach for them. Build working prototypes — apps, point solutions, agentic workflows — that demonstrate value through real execution, not slides. You'll bootstrap from a blank page using tools like Claude Code, Copilot, and firm-approved platforms, and you'll move with velocity.

Prototype hands-on alongside engagement teams — rapid discovery, iterative build, collaborative validation, and structured handoff to Product and Tech for production. Frame the problem, map the constraints, and build the thing that proves the path forward. Show practitioners and clients how to build and migrate to AI-first solutions, grounded in firm-prescribed facilities, controls, and guardrails. Capture institutional knowledge, business rules, and decision logic into durable assets that persist beyond the engagement. Connect engagement needs to the firm's AI product teams and platforms, helping clients land on the right approved tooling. Recognize that a prototype is only valuable if the organization can adopt it. You account for change management and human capital impact from the start. Required Qualifications, Capabilities, and Skills Demonstrated hands-on ability to build — you have written code, shipped systems, or stood up working applications or point solutions. Practical experience using generative AI, copilots, agentic workflows, or related tooling (e.g., Claude Code, Copilot) to produce real, working outputs — not just experiments. Strong technical acumen: ability to work credibly with engineers, understand modern software delivery practices, and reason about architecture, data, and integration. Business fluency — the ability to understand a business problem, frame it, and translate it into a solution that stakeholders at multiple levels can engage with. Strong communication and storytelling skills, with the ability to make emerging concepts concrete and actionable for technical and non-technical audiences alike. A bias toward action, comfort with ambiguity, and the resourcefulness to bootstrap from incomplete information. Preferred Qualifications, Capabilities, and Skills 4+ years of experience across software engineering, product delivery, technical consulting, or digital transformation in complex environments. Background in software engineering, product engineering, developer enablement, or a comparable technical discipline that supports hands-on credibility with delivery teams. Working knowledge of prompt design, workflow orchestration, human-in-the-loop controls, evaluation approaches, and responsible AI guardrails. Experience operating in regulated or large-scale enterprise environments where technology change must align with risk, control, and operational readiness requirements. Exposure to change management or human capital considerations in technology-driven transformation. Experience teaching, coaching, or evangelizing technical practices through direct partnership and observable building — not