Applied AI Specialist-Application Operations

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.
• 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.
• Collaboration: Collaborating with stakeholders to design, deploy, and continuously improve agent-based solutions. This job can be performed from anywhere in the U.S.
• AI Solution Design: Exposure to designing AI-driven solutions that operationalize AI-first Application Management Services through the use of Agents and Agentic AI systems. This includes translating business and operational requirements into scalable, user-centric AI capabilities.
• Agent Integration Experience: Experience working with AI agents and integrating them with observability, telemetry, event management, and operational monitoring platforms to enable intelligent automation and incident response.
• AI Model Optimization: Exposure to monitoring and optimizing agent performance through model evaluation, prompt refinement, and logic enhancements to improve accuracy and reliability.
• Operational Governance Knowledge: Experience with maintaining operational governance of AI solutions, including managing production stability, performance thresholds, and compliance requirements.
• Technical Collaboration: Exposure to collaborating with stakeholders to design, deploy, and continuously improve agent-based solutions using Agentic AI frameworks, AI orchestration platforms, and automation technologies.
• AI Orchestration Tools: Exposure to utilizing AI orchestration platforms and automation technologies to deliver scalable AI-enabled operations.
• Agentic AI Frameworks: Experience working with Agentic AI frameworks to design and deploy agent-based solutions.
• Telemetry Systems Knowledge: Familiarity with integrating AI agents with telemetry systems and event management solutions to enable intelligent automation. United States Data & Analytics Hybrid Professional Multiple Cities San Francisco New York (0147) International Business Machines Corporation Artificial Intelligence Automation Design Event Management Incident Response Integration Management Optimization Reliability Telemetry Solution Design Observability Compliance Governance Intelligent Automation Collaboration Musical Orchestration Refinement