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Introduction

At IBM, we're revolutionizing our approach to technology sales. Our Client Engineering teams are champions of co-creating solutions in real-time to solve complex 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, creating 4-to-8-week pilots for clients, and contributing to IBM's story of growth and innovation. In this role, you'll partner with technical leaders across IBM and drive client engagements with a curiosity that sparks innovation and learning. Your contributions will form a cornerstone in our sales strategy, facilitating rapid client delivery and product innovation. At IBM the possibilities are endless. We offer extensive onboarding and ongoing development, fostering an environment where you can thrive and shape your own career trajectory. Surrounded by a supportive team, you'll be integral in creating user-centric, compelling pilots that lead clients to continually invest in IBM's people, products, and services.

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:

1. 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.

2. Collaboration: Collaborate with cross-functional teams to ensure smooth execution and successful delivery of AI solutions. Effectively communicate progress, risks, and dependencies to stakeholders.

3. 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.

4. Customer Engagement and Support: Provide technical support during the solution development phase and offer guidance on AI-related best practices and use cases.

5. Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Contribute to internal knowledge sharing initiatives and mentor new team members.

6. 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

1. AI-Related Education: Possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

2. Designing and delivering AI solutions: With a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms and the application of technology for the governance of data and models.

3. 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.

4. Solutioning Experience: Solution architecture and design, translating business requirements into technical specifications, developing scalable and robust AI solutions.

5. 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.

6. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.

Preferred technical and professional experience

Comprehensive Familiarity with IBM's Offerings AI Strategy and offerings: Hands-on experience with any of IBM's products and services (training across IBM's product suite will be provided).