Technology sales at IBM is evolving its way of working to break beyond boundaries with innovative
approaches. Preferring to ‘show’ vs. ‘tell’, Client Engineering co-creates with clients, in real-time, on solutions
to solve their hardest business challenges.
As an AI Engineer within our Client Engineering team, you'll harness your unique skills and perspectives to
engage in the development and deployment of AI systems using our watsonx platform for pilots that lead to
deployment of enterprise-scale solutions at start-up speed.
In a world where technology moves at speed, it's essential that we stay ahead of the curve to provide tailored
solutions that meet our clients' needs. It's not enough for us to have the technical expertise. We need to be
great with people, too. To empathize. To understand. To collaborate on technical solutions that will improve
lives all over the world.
Excellent onboarding training will set you up for success, whilst ongoing development will continue to advance
your career through its upward trajectory. Our sales environment is fast-paced and supportive. Always part of
a team, you'll be surrounded by leaders and colleagues who are always willing to help and be helped – as you
support pilots that compel clients to invest in IBM's products and services.
An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create
AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your
team to success, and helping our clients thrive.
Your primary responsibilities will include, but not be limited to:
• Pre and Post Sales Pilots: Develop pilots to validate and highlight the feasibility and effectiveness of
the proposed AI solutions. Collaborate with cross-functional teams to implement and iterate on pilots,
ensuring alignment with customer requirements and expectations while adhering to best practices
and quality standards.
• Solution Optimization and Performance: Continuously monitor and optimize the performance of AI
solutions, including foundation models and large language models. Identify opportunities to enhance
efficiency, accuracy, and speed through fine-tuning, algorithmic improvements, or infrastructure
optimization to meet performance requirements.
• Collaboration and Project Management: Collaborate with cross-functional teams, including AI
engineers, platforms engineers, and members of the sales team, to ensure smooth execution and
successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies
to stakeholders.
• Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI,
foundation models, and large language models. Evaluate emerging technologies, tools, and
frameworks to assess their potential impact on solution design and implementation.
To be successful in this role, you will need:
• Confidence to contact and engage potential new customers and deliver an elevated experience.
• Motivation to achieve sales, business objectives and high client satisfaction.
• Strong analytic, problem solving, and troubleshooting skills combined with an agile process.
• Embrace curiosity and a growth mindset.
This position requires you to be in one of the following IBM offices: Atlanta GA, Austin TX, Chicago IL, Dallas
TX, New York NY, Raleigh NC, San Francisco CA, and Washington DC.
Readiness to travel up to 50% annually.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to
be considered for this position, you must have the ability to work without a need for current or future visa
sponsorship
• Technical Education: B.S./M.S. in Computer Science, Artificial Intelligence, Data Science, Math,
Statistics, Engineering or equivalent technical degree/experience.
• Programming: Working knowledge in Python, R, Java or language in similar discipline.
• Tech Savvy: Conversant about AI technology, latest industry trends and how it is being applied to
address business challenges.
• Team Player: Demonstrates team collaboration and can navigate different communication styles.
• Excellent Communication Skills: Possess verbal, written, and interpersonal skills that are engaging,
compelling and influential.
• Self-Starter: Motivated to work with clients and can lead projects independently.
• Knowledge of AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
• Experience with LLM and foundational models.
• Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc.
• Familiarity with open-source technology, automation and legacy coding (Cobol, C, Assembler) is a
plus.