OneMain Financial Jobs

Introduction

At IBM, we believe technology shapes the world. We’re a catalyst for that innovation. We’re driving change that improves businesses, society, and the human experience. Our Marketing, Communications & Corporate Social Responsibility (MCC) team tells this story. We shape IBM’s brand, capture attention in the market, and share our perspective with clients, partners, the media, and fellow IBMers. On our team, you’ll work with bright, collaborative minds who bring passion and creativity to everything they do. You’ll be part of a culture built on openness, trust, and teamwork. Where your ideas matter and your growth is supported. Join us and help bring innovation to life.

Your role and responsibilities

We are building a small, elite AI strike team embedded in the Marketing, Communications, and CSR (MCC) Strategy & Operations team. The mission is to move fast, explore what’s possible with agentic and conversational AI, and prove value quickly—before anything is scaled or productionized elsewhere.

This team operates as a rapid-action unit focused on experimentation, learning, and proof-of-value rather than long-term platforms or production systems.

In this role, you are a hands-on builder on that squad. You design and prototype AI agents, copilots, and workflows that turn loosely defined ideas into tangible demonstrations that inform clear go / no-go decisions.

THIS ROLE IS

• A hands-on builder on a small, elite AI delivery team

• Focused on agentic AI, copilots, and workflow experimentation

• Optimized for speed, iteration, and learning

• Embedded in MCC Strategy & Operations

THIS ROLE IS NOT

• A long-term AI platform or MLOps role

• A research-only or theory-heavy position

• A large-team engineering role

• A reporting or dashboarding function

KEY RESPONSIBILITIES

• Design and build rapid AI and automation prototypes

• Develop agentic workflows using LLMs, tools, and reasoning patterns

• Experiment with RAG, tool-calling, and orchestration approaches

• Translate incomplete ideas into working proofs of concept

• Surface technical risks, constraints, and limitations early

• Iterate prototypes quickly based on feedback and usage

• Structure experiments for clean handoff if scaled

Required technical and professional expertise

• Hands-on experience with AI/ML or LLM-based systems

• Strong Python skills and familiarity with modern AI tooling

• Experience with agentic or orchestration patterns

• Comfort working without fixed specs or architectures

• Proven ability to move quickly from idea to working artifact

Preferred technical and professional experience

• Experience with vector databases or RAG systems

• Exposure to workflow automation tools

• Familiarity with marketing or GTM use cases

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.