watsonx product SME & engineer

Introduction

At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you’ll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact.Success in Global Sales is built on curiosity, empathy, and collaboration. You’ll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that’s passionate about driving innovation and making a difference.

Your role and responsibilities

Role summary

Blend hands‑on technical implementation of watsonx (orchestration / Bob / governance) with client‑facing problem solving and value delivery.

Translate client business problems into watsonx solutions, working closely with architects, product teams and other domain experts.

Focus on early‑stage work (discovery, PoC, pilot) that proves value and sets a path to scaled adoption.

Core responsibilities

Discover and refine client requirements, then design and implement watsonx‑based MVP's, pilots, and early solutions.

Configure watsonx components, integrate with client data and systems, test and troubleshoot across data, models, prompts, and orchestration.

Create reusable assets (runbooks, guides, snippets, demos) and feed client insights & code back into product and engineering.

Required technical and professional expertise

Technical requirements

Solid foundations in programming (preferably Python), REST APIs/JSON, Git, and basic SQL/data handling. Strong technical skills in orchestration & agentic development.

Familiarity with cloud concepts (services, networking basics, credentials), containers, and modern data/AI concepts (LLMs, embeddings, RAG).

Nice‑tohave exposure to MLOps/DevOps, simple chatbot/assistant builds, and basic governance/privacy concepts.

Preferred technical and professional experience

Problem‑solving and curiosity requirements

Strong debugging mindset: decomposes problems, forms hypotheses, and tests them quickly with hands‑on experiments.

Comfortable working with incomplete information and evolving products; self‑serves through documentation and exploration.

Driven by business impact, ownership, and continuous learning; views client problems as personal challenges to solve.

Collaboration and ways of working

Works effectively in cross‑functional squads with product, architecture, sales, and delivery stakeholders.

Familiar with agile practices and tools; transparently manages tasks, communicates progress, and escalates blockers.

Contributes to reusable patterns and knowledge bases instead of one‑off solutions; actively seeks and uses feedback.

Behavioral and mindset traits

Highly curious about AI, data platforms, and enterprise value creation; eager to explore and experiment.

Resilient, pragmatic, and comfortable with ambiguity; prefers simple, robust solutions aligned to client constraints.

Ethical, governance‑aware, collaborative, and low‑ego, prioritizing client outcomes and team success.

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.