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

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Dormont Manufacturing Co
Full Time position
Listed on 2026-07-03
Job specializations:
  • IT/Tech
    AI Evaluation, IT QA Tester / Automation, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 87200 USD Yearly USD 87200.00 YEAR
Job Description & How to Apply Below

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.

Role Overview

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 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 within a workflow management tool, diagnose root causes, make necessary corrections, re-ingest updated information, and 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 and opportunities for AI improvement; develop and implement training protocols, leveraging prompt engineering, model validation, and knowledge base updates; collaborate with cross‑functional teams to align AI behaviors with business needs and compliance requirements.
  • Knowledge Base & Documentation – Maintain and update the agent knowledge base, document training methodologies, ticket resolutions, and process improvements for knowledge sharing and auditing.
  • Quality Assurance & Compliance – Validate AI performance through systematic review, testing, and user/stakeholder feedback; ensure compliance with regulatory standards, ethical guidelines, and company policies.
  • Reporting & Communication – Track and report key metrics: ticket resolution rates, fallout frequency, review turnaround times, and AI improvement outcomes; communicate insights, best practices, and recommendations to stakeholders and leadership.
Qualifications
  • Understanding of business function and M&Ps; align AI behavior with policy and process; 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.
  • Ability to manage fallout within SLAs, triage tickets, and drive rapid resolution.
  • Observability proficiency with logs, metrics, dashboards, 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, maintenance, and documentation for auditability.
  • Compliance, data privacy, ethical guidelines awareness; maintain auditable processes and change logs.
  • Effective communication: synthesize findings, report metrics, present recommendations.
  • Preferred:
    Advanced observability, incident response practices, experiment tracking, ML operations tooling, fine‑tuning pipelines, RAG, vector databases, SQL/BI tools, version control (Git), workflow orchestration, advanced scripting, AI in production, A/B testing platforms.
Compensation and Benefits

Salary: $87,200.00 – $ USD annual.

Benefits:

  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off & Holidays (at least 23 days of vacation and 9 company‑designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond state/local law (unprotected)
  • Adoption…
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