Sales watsonx product SME & engineer Professional Multiple Cities

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 MVPs, 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. Education Required education: Bachelor's Degree Preferred education: Bachelor's Degree Required technical and professional expertise 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‑to-have exposure to MLOps/DevOps, simple chatbot/assistant builds, and basic governance/privacy concepts. 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. Compensation and Benefits Salary range: $110,000 – $206,000 per year (subject to experience, location). Health benefits including medical, prescription drug, dental, vision, mental health, and well‑being programs. Financial programs: 401(k) plans (including cash balance pension plan), IBM Employee Stock Purchase Plan, financial counseling, life insurance and short/long‑term disability coverage, performance‑based salary incentive programs. Paid time off: 12 holidays, 56 hours sick time, 120 hours vacation, 12‑week parental bonding leave, and other paid care leave programs (subject to policy). Professional development: training and educational resources via AI‑driven learning platform and industry‑recognized certifications. Diversity and inclusion initiatives: employee resource groups, volunteering opportunities, and discounts. Eligible for IBM Sales Incentive plan (actual incentive based on performance). Equal Employment Opportunity Statement IBM is 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. We consider qualified applicants with criminal histories, consistent with applicable law. #J-18808-Ljbffr