Job Description

Introduction
Client Engineering within IBM Technology Sales is about proactive initiative, controlled speed, and positive impact. Moving fast, we've a bias for action, and an obsession to support our clients overcome their hardest problems through fast-paced and agile co-creative experiences.

In a world where technology moves at speed, it's essential that we stay ahead of the curve to provide tailored solutions from across IBM's whole product suite, that meet our clients' needs. It's not enough for us to know that there are problems in the world. As a multi-disciplinary team of experts, we're obligated to make sure they're continually solved. It's an obsession that drives us to help our clients modernize and thrive. Always.

Your Role and Responsibilities

Technology sales at IBM is evolving its way of working to break beyond boundaries with innovative approaches. Preferring to xe2x80x98showxe2x80x99 vs. xe2x80x98tellxe2x80x99, Client Engineering co-creates with prospective customers, in real-time, on solutions to their hardest business challenges. As an AI Engineer within a Client Engineering squad, youxe2x80x99ll contribute to the co-creation of Proofs of Value (PoV) and Minimal Viable Product that demonstrate business value, leading to client investment in AI strategic solutions using Foundation Models. You will engage in developing and deploying AI systems to solve real-world business problems in a wide array of industries around the globe using IBM watsonx platform. AI Engineers cover all stages of the AI solution lifecycle from Data Engineering to Train, Validate, Tune, Deploy, AI Operations, and AI Governance to create a trusted end-to-end AI solution.

As an AI Engineer within a Client Engineering squad, youxe2x80x99ll partner with Technical Leaders across IBM sales teams and specialists to drive these experiential client engagements. You will form a sales cornerstone in partnership with
Development, Research and Sales for rapid client delivery and product innovation.
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 connected to a wider team, youxe2x80x99ll be surrounded by other leaders and colleagues who are always willing to help and be helped xe2x80x93 as you steer the creation of MVPs and proofs of concept (PoC) that obsess over user-centricity and business impact. All-the-while ensuring your teams are compelling clients to continually invest in IBMxe2x80x99s people, products, and services.

An AI Engineer in Client Engineering is a specialist in Foundation Models and building AI systems. Youxe2x80x99ll leverage the watsonx platform with clients to co-create the value AI can bring to business. You will focus on Technology Patterns as our way to build the right skills and assets for repeatability to delight clients. AI Engineers work in high touch environment on all watsonx.ai opportunities.

We're passionate about success. If this role is right for you, then your achievements will mean that your career is flourishing, your team is succeeding, and our clients are thriving. To help ensure this win-win outcome, a 'day-in-the life' of this opportunity may include, but not be limited to:

• Fine Tuning pre-trained Foundation Models and assisting different stakeholders with analysis and implementation.
• Apply prompt-engineering techniques to specific use cases and types of models.
• Collaborating with the client to rapidly develop AI solutions using IBM watsonx Platform via a Proof of Experience (PoX)
• Applying Foundation Models to propose and validate hypotheses for business queries
• Utilizing the latest IBM AI technical strategies and sales plays to unlock client opportunities, applying skills in AI development, model building, Fine-Tuning and API integration.
• Displaying a growth mindset and genuine curiosity to grasp clients' business processes and challenges, employing statistical analysis skills to identify transformation opportunities.

• Understanding of key concepts in the Foundation Models literature and expertise in building and deploying them for real-world examples.
• Knowledge of cloud technologies, specifically Kubernetes, and expertise in leveraging them for large-scale AI workloads.
• Ability to identify fundamental problems from real-world cloud use-cases and to design, build and validate successful AI solutions.
• Capability to demonstrate and evaluate AI solutions via experimental methods, particularly through hands-on creation of prototypes.
• Strong communication skills and the ability to collaborate effectively within a local team.
• Excellent command of the English language, both verbal and written.

• Strong contribution record with either publications in top peer-reviewed scientific conferences and journals or strong leadership track-record in opens source communities, with a particular focus on foundation models, or large scale machine learning models.
• Track record of being part of highly collaborative teams to tackle important problems which produce high impact solutions.

IBM