Sr Specialist Quality​/M&P​/Process - AI Training Manager

## Sr Specialist Quality/M&P/Process - AI Training Manager Apply remote type:
Office Worker (NOT Remote) locations:
Dallas, Texas:
Richardson, Texastime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
July 24, 2026 (7 days left to apply) job requisition :
R-109034
** This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.
** At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.

The Sr Specialist Quality/M&P/Process - AI Training Manager is responsible for overseeing the training, validation, and continuous improvement of Agentic Capabilities—AI-powered agents designed to autonomously process a variety of ticket types within workflow management systems. This role owns AI agent quality: ensuring reliable, high-quality outcomes; rapidly reviewing and resolving exception (“fallout”) tickets; applying corrections and re-ingesting updates; improving training data and fine-tuning artifacts;

updating the agent knowledge base; and rerunning tickets to validate fixes—continuously strengthening agentic capabilities.
** Key Responsibilities
**** Agentic Capability Management
*** Monitor the performance of Agentic Capabilities as they autonomously process various ticket types.
* Ensure seamless integration of AI agents into new or existing workflows, optimizing for efficiency and accuracy.
** Fallout Review & Correction
*** Review fallout tickets (cases where AI agents cannot resolve issues) within a workflow management tool.
* Diagnose root causes, make necessary corrections, and re-ingest updated information to the AI system.
* Ensure all fallout tickets are actioned within a 48-hour window; unresolved tickets revert to the human-worked queue.
** Training & Continuous Improvement
*** Analyze fallout patterns to identify knowledge gaps, process inefficiencies, or opportunities for AI improvement.
* Develop and implement training protocols to enhance Agentic Capabilities, leveraging prompt engineering, model validation, and knowledge base updates.
* Collaborate with cross-functional teams (product, engineering, support) to align AI behaviors with business needs and compliance requirements.
** Knowledge Base & Documentation
*** Maintain and update the agent knowledge base, ensuring accurate, current, and comprehensive content for AI agents.
* Document training methodologies, ticket resolutions, and process improvements for knowledge sharing and auditing.
** Quality Assurance & Compliance**
* ** V
* * alidate AI performance through systematic review, testing, and user/stakeholder feedback.
* Ensure all processes comply with regulatory standards, ethical guidelines, and company policies.
** Reporting & Communication
*** Track and report on key metrics: ticket resolution rates, fallout frequency, review turnaround times, and AI improvement outcomes.
* Continuous Improvement practices
* Communicate insights, best practices, and recommendations to stakeholders and leadership.
** Skills & Qualifications
*** Understanding of the business function and M&Ps; align AI behavior with policy and process; plus knowledge of supported workflows and tools with experience operating the systems involved (e.g., ticketing/workflow platforms).
* Strong analytical and problem-solving skills with meticulous attention to detail; proven root cause analysis (RCA) capability.
* General AI literacy and understanding of agentic systems; basic prompt engineering (iteration, testing, versioning).
* Ability to manage fallout within SLAs, triage tickets, and drive rapid resolution; strong prioritization in fast-paced environments.
* Observability: proficiency with logs, metrics, dashboards, and alerts; define and track quality KPIs (accuracy, fallout rate, MTTR).
* Basic scripting understanding to automate corrections, content re-ingestion, and validation workflows.
* Knowledge base authoring and maintenance; clear documentation of training methods, resolutions, and changes for auditability.
* Compliance/data…