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Technical Support Representative - AI Specialist

IBM2,244 open roles

Where
PETALING JAYA, MY
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Your applicationOpen nowTechnical Support Representative - AI SpecialistIBM · PETALING JAYA, MY

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The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. IBM postings stay open a median of 4 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: posted today

IBM median: 4 days open

The posting

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.

• AI Solution Design: Exposure to designing and implementing AI-driven solutions that operationalize AI-first Application Management Services.

• AI Agent Development: Experience working with Agentic AI frameworks and AI orchestration platforms to deliver scalable AI-enabled operations.

• Technical Integration: Familiarity with integrating AI agents with observability, telemetry, event management, and operational monitoring platforms.

• Performance Evaluation: Exposure to monitoring and optimizing agent performance through model evaluation and prompt refinement.

• Automation Technologies: Experience working with automation technologies to enable intelligent automation and workflow orchestration.

• Additional AI Tools: Exposure to utilizing Agentic AI frameworks, AI orchestration platforms, and automation technologies to deliver scalable AI-enabled operations.

• Advanced Analytics: Familiarity with observability, telemetry, event management, and operational monitoring platforms to enable intelligent automation and incident response.

• Emerging Technologies: Experience with new technologies to improve accuracy, reliability, and business outcomes in AI-driven solutions.

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