AI Specialist (Technical Support Representative)

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. As an Applied AI Specialist, you will design, implement, and manage AI-driven solutions that operationalize AI-first Application Management Services. This role involves collaboration with various stakeholders to deliver scalable, user-centric AI capabilities that automate workflows and improve service delivery. Your primary responsibilities will include:

• Solution Implementation: Translating business and operational requirements into scalable AI capabilities that automate workflows and augment decision-making.
• AI Agent Integration: Integrating AI agents with observability, telemetry, event management, and operational monitoring platforms to enable intelligent automation and incident response.
• Performance Optimization: Monitoring and optimizing agent performance through model evaluation, prompt refinement, and logic enhancements to improve accuracy and reliability.
• Operational Governance: Maintaining operational governance of AI solutions by managing production stability, performance thresholds, and compliance requirements.
• Stakeholder Collaboration: Collaborating with application operations, platform operations, engineering, architecture, and business stakeholders to design, deploy, and improve agent-based solutions. Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration. Cloud Technologies: Experience with cloud platforms like GCP, AWS, and Azure, including their AI/ML services. Generative AI Experience with LLM and Generative AI and Google Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini) ML Development: Experience with Machine Learning model development and deployment. AIML Frameworks: Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs. Must have Associate Cloud Engineer (ACE) Certification Malaysia Software Engineering Professional PETALING JAYA, MY (0088) IBM Malaysia Sdn. Bhd.