CSM AI Engineer

Introduction

As a Customer Success Specialist (CSM) focused on watsonx AI at IBM, you will play a pivotal role in enabling clients to successfully adopt, deploy, and realize value from IBM’s leading AI and foundation model platform. This role is ideal for early professionals with at least 2+ years of experience who are passionate about AI, have technical aptitude, and thrive in client-facing environments.

IBM's watsonx platform empowers enterprises to scale and govern trusted AI across workloads. Your work will help clients unlock productivity, accelerate innovation, and responsibly integrate AI into their business.

Your Role And Responsibilities

As a CSM for watsonx AI, your mission is to ensure clients successfully implement and scale AI solutions, with a strong focus on foundation models, generative AI, and data-driven applications. You will:

• Serve as a trusted technical advisor to help clients plan, adopt, and optimize their use of watsonx.ai, watsonx.data, and watsonx.governance.
• Lead AI use case discovery workshops and co-create solutions that align with strategic business goals.
• Guide clients through the model lifecycle—from data ingestion, training, and fine-tuning, to deployment and responsible AI governance.
• Collaborate with product, engineering, and sales teams to ensure alignment and drive renewals and expansion.
• Build customer success plans that increase AI adoption, engagement, and measurable ROI.
  
  

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Client Engagement & Discovery: Understand each client's data and AI maturity, challenges, and goals to position watsonx solutions effectively.
• Technical Enablement: Provide hands-on support and guidance for using watsonx.ai (LLM-based development), watsonx.data (governed data lakehouse), and watsonx.governance (AI governance and risk tools).
• Use Case Framing & MVP Builds: Identify and build AI use cases, prototypes, or proof of value to demonstrate watsonx’s potential.
• Success Measurement: Define KPIs, adoption metrics, and success frameworks to track and report client outcomes.
• Customer Advocacy: Act as the voice of the customer to internal IBM teams to improve product and support experiences.
  
  

Preferred Technical And Professional Experience

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• 2+ years of experience in customer-facing roles (Customer Success, Pre-Sales, Solution Consulting, etc.).
• Foundational knowledge of AI/ML concepts, data pipelines, and cloud-native technologies.
• Ability to read or write code in Python or other modern programming languages.
• Excellent interpersonal, communication, and problem-solving skills.
• Comfort with presenting to both technical and non-technical audiences.
• Experience with foundation models, generative AI, or similar platforms (e.g., Hugging Face, OpenAI, Vertex AI).
• Familiarity with cloud platforms (IBM Cloud, AWS, Azure, or GCP).
• Understanding of MLOps, data governance, or AI risk management practices.
• Previous work with IBM watsonx or similar enterprise AI platforms is a strong plus.