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IBM
Software Engineering, Sales & Business Development, Data Science
California, USA · Texas City, TX, USA
Are you looking to kick-start your career in technology with a structured development path and fast-track growth opportunities? Our IBM Tech Sales Accelerator Program is designed for ambitious graduates, offering hands-on training, mentorship, and real-world experience within IBM Client Engineering. 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 Data & AI platform, creating pilots for clients, and contributing to IBM's story of growth and innovation.
Over 12-24 months, you will work in multi-disciplinary pre-sales team, gaining critical skills before transitioning into your next career step as Partner/Brand Technical Specialist.
As Client Engineering, our main goal is developing trusted relationships and accelerate the go to market of IBM solutions through co-creation with our clients.
In this context you’ll work with innovative partners to shape the future of our technology landscape, creating pilots for clients, and contributing to IBM’s story of growth and technology innovation across traditional and Generative AI, Machine Learning, Operations Research, AI Governance and many more.
Your Responsibilities Include
* Pilot Development: Develop pilots to validate and highlight the feasibility and effectiveness of proposed hybrid-cloud solutions. Collaborate with development teams to implement and iterate on pilots, ensuring alignment with customer requirements and expectations. This follows IBM Client Engineering’s Pilot Engineering Method, a human- and design-led approach that solves complex business problems with transformative technology. Through co-creation methodology, we collaborate with clients to develop Proof of Experiences (PoXs) using IBM’s portfolio, spanning observability, automation, transaction processing, AI, and security. The goal is to transform customer needs in a tangible solution working closely with clients, partners and IBM’s teams.
* Collaboration and Project Management: Collaborate with cross-functional teams and business partners, including other Platform Engineers, AI engineers and project managers, to ensure smooth execution and successful delivery of Automation and AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders.
* Solution Implementation and Deployment: Oversee the implementation and deployment of AI Pilots, working closely with development teams to ensure adherence to best practices, quality standards, and performance requirements. Provide technical guidance and support during the implementation phase.
* Customer Engagement and Support: Provide technical support during the solution development phase and offer guidance on AI-related best practices and use cases.
* Documentation and Knowledge Sharing: Contribute to the documentation of solution architectures, design decisions, implementation details, and lessons learned. Actively participate in internal knowledge‑sharing initiatives and mentor new team members.
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.
* AI-Related Education: Possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Mathematics, Physics, or a related field.
* Good understanding of foundation models, large language models, machine learning, deep learning algorithms and the application of technology for the governance of data and models.
* Strong programming skills: Proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. IBM, Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience with Python backend API frameworks such as FastAPI, as well as containerization tools like Docker or Podman, is considered a plus.
* Excellent interpersonal and communication skills: Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
* Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
* Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
* Team player with a collaborative spirit, able to work across multiple functions and levels within IBM and partners.
First experience with IT and/or Sales.
IBM is seeking a dynamic, enthusiastic, and results-oriented individual with a profound passion for AI and Data Science.
The ideal candidate is also able to leverage state-of-the-art AI frameworks and engineering practices to design, build, and deploy scalable machine learning and foundation model solutions across hybrid cloud environments. Familiarity with MLOps pipelines, model serving and monitoring, data versioning, and responsible AI principles is a plus. Any hands-on experience with AI/ML services from major cloud providers is greatly appreciated.
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
For additional information about location requirements, please discuss with the recruiter following submission of your application.