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Salary
≈ $127k – $281k per year (Estimated)
Location
In office (United States)

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 6, 2026. IBM scores A on the Alion truth index.

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IBM

IBM is an American technology company whose roots go back to the 1911 formation of the Computing-Tabulating-Recording Company, and which has been headquartered in Armonk, New York for decades. It defined mainframe computing, the personal computer standard and much of enterprise data processing, and today concentrates on hybrid cloud built around Red Hat, enterprise AI through the watsonx platform, consulting services and the mainframe and storage systems that still run the world's largest transaction workloads. The company also runs one of the leading quantum computing programmes and consistently ranks among the largest recipients of United States patents.

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 drive the design, implementation, and management of 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, leveraging expertise in AI solution delivery and operational governance. Your primary responsibilities will include:

  • Solution Design: Translate business and operational requirements into scalable, user-centric AI capabilities that automate workflows, augment decision-making, and improve service delivery.
  • AI Implementation: Implement and manage AI-driven solutions that integrate with observability, telemetry, event management, and operational monitoring platforms to enable intelligent automation and incident response.
  • Performance Optimization: Monitor and optimize agent performance through model evaluation, prompt refinement, agent configuration, and logic enhancements to improve accuracy, reliability, and business outcomes.
  • Operational Governance: Maintain operational governance of AI solutions by managing production stability, performance thresholds, compliance requirements, risk controls, and responsible AI practices.
  • Stakeholder Collaboration: Collaborate with application operations, platform operations, engineering, architecture, and business stakeholders to design, deploy, and continuously improve agent-based solutions. This position can be performed from anywhere in the United States.
  • AI Solution Delivery: Deep expertise in designing, implementing, and managing AI-driven solutions that operationalize AI-first Application Management Services. Experience with translating business and operational requirements into scalable, user-centric AI capabilities.
  • AI Integration: Experience with integrating AI agents with observability, telemetry, event management, and operational monitoring platforms to enable intelligent automation and incident response.
  • Agent Performance Optimization: Experience in monitoring and optimizing agent performance through model evaluation, prompt refinement, agent configuration, and logic enhancements to improve accuracy, reliability, and business outcomes.
  • Operational Governance: Deep expertise in maintaining operational governance of AI solutions, including managing production stability, performance thresholds, compliance requirements, risk controls, and responsible AI practices.
  • AI Technology Utilization: Experience with utilizing Agentic AI frameworks, AI orchestration platforms, observability tools, telemetry systems, event management solutions, and automation technologies to deliver scalable and sustainable AI-enabled operations.
  • Advanced AI Frameworks: Experience with utilizing Agentic AI frameworks to deliver scalable AI-enabled operations.
  • AI Orchestration Tools: Knowledge of AI orchestration platforms and automation technologies to improve service delivery.
  • Telemetry Systems Expertise: Familiarity with telemetry systems and event management solutions to enable intelligent automation. United States Software Engineering Hybrid Professional Multiple Cities (0147) International Business Machines Corporation
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