AI Engineer

Introduction
Software Developers at IBM are the backbone of our strategic initiatives to design code test and provide industry-leading solutions that make the world run today – planes and trains take off on time bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client software development is critical to the success of IBM and our clients worldwide. At IBM you will use the latest software development tools techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.

Your Role and Responsibilities
An AI Solution 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. We are seeking an experienced and innovative AI Solution Engineer to be specialized in foundation models and large language models. In this role you will be responsible for architecting and delivering AI solutions using cutting-edge technologies with a strong focus on foundation models and large language models. You will work closely with customers product managers and development teams to understand business requirements and design custom AI solutions that address complex challenges. 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. Day-to-Day Duties: Proof of Concept (POC) Development: Develop POCs to validate and showcase 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. 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. IBMReferred_India

Required Technical and Professional Expertise

• 9+ Years of Technology Experience
• Education: Bachelor’s Master’s or Ph.D. degree in Computer Science Artificial Intelligence or a related field. Experience: Proven experience in designing and delivering AI solutions with a focus on foundation models large language models or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Technical Skills: Strong programming skills with proficiency in Python and experience with AI frameworks such as TensorFlow PyTorch or Hugging Face. Understanding in the usage of libraries such as SciKit Learn Pandas Matplotlib etc. Familiarity with cloud platforms (e.g. AWS Azure GCP) and related services is a plus. Solutioning Experience: Experience in solution architecture and design translating business requirements into technical specifications and developing scalable and robust AI solutions. Business Acumen: Ability to understand customer needs and business objectives. Experience in working closely with customers and translating their requirements into effective AI solutions. Soft Skills: 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”

Preferred Technical and Professional Expertise
Experience in full AI project lifecycle from research and prototyping to deployment in production environments. Familiarity with Agile development methodologies Experience with AI and/or data governance Experience with building business automation or digital labor solutions Experience with building customer care solutions/digital assistants Experience with Ansible Experience with Red Hat OpenShift Experience with Kubernates Experience with vector DB’s or open file formats like parquet avro or orc Experience with Apache Iceberg Experience with key value (redis) Experience in Cognos development with skills of designing developing and deploying dashboard solutions and multi-dimensional reports using IBM’s Cognos Proficient in spoken reading Japanese/Spanish/German/French/Portuguese language