**Introduction** 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 a Platform Engineer within Client Engineering, you’ll be a key player in a multi-disciplinary team made up of Architects, AI Engineers, Designers, and Business Technology Leaders. The brightest and creative minds collaborating with clients as one team and contributing to experiential working sessions and builds. The outputs of which produce pilots that lead to the deployment of enterprise-scale solutions at start-up speed. 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. About Business Unit: Client Engineering within IBM Technology Sales is about proactive initiative, controlled speed and positive impact to clients. 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. **Your role and responsibilities** 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 to thrive. Your primary responsibilities will include: * Proof of Concept (POC) Development: Develop POCs to validate and highlight the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. * Collaboration and Project Management: Collaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. * Solution Implementation and Deployment: Oversee the implementation and deployment of AI solutions, 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. * 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. * Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. * Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to 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. **Required technical and professional expertise** As a Platform Engineer within IBM Client Engineering, you'll play a key role in delivering unique client co-creation experiences to accelerate their transformation. You'll be involved in all aspects of integrated solutions, from identifying requirements to making technical decisions that impact the business case. Your role as a Platform Engineer will be to work with cross-functional teams to realize the full potential of our hybrid cloud and AI solutions to prove business value to our clients. We are committed to your success. If this role aligns with your career goals, your day to day contributions will help both your career and our clients to thrive. Here's what a typical day might look like: * Leverage contemporary hybrid cloud skills (e.g., AI, analytics, DevOps, DevSecOps, IaC, automation, security, networking, and storage) with deep industry expertise and an understanding of your clients’ businesses. * Define and communicate the unique value of IBM’s technology, both technically and commercially. * Participate in client sessions that include a range of public and hybrid cloud technologies, such as Red Hat OpenShift, IBM Cloud Paks, and Kubernetes. * Support the solutions architecture plan and be a hands-on "builder" during client-facing engagements. * Advice on solution architecture to align with platform best practices, with a focus on our clients target environment to ease transition to deployment. * Work with deployment teams to transition platform assets and information to provide seamless transitions for our clients **Preferred technical and professional experience** * At least 1 year in a technical operations role, such as site reliability or platform engineering, in hybrid-cloud and on-premise environments. * Experience in deploying and operating solutions on AWS, Azure, IBM Cloud, or Google Cloud. * Experience as a Solution Architect or in a public cloud consultant role. * Experience in developing collaborative client relationships at all levels within organizations. * Knowledge of Well-Architected Frameworks from AWS, Azure, IBM Cloud, or Google Cloud. * Relevant technical certifications (e.g., CNCF, AWS, IBM Cloud, Azure, Google Cloud, DevOps). * Experience working in dynamic team environments and cross-functionally with teams such as Product Management, Engineering, and Customer Success.