AI Prototyping & Transformation Senior Associate

JPMorganChase • Columbus, OH

10h

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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 only through presentation.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed