Avp-member of Tech Staff (agentic Api)

AT&T AT&T · Telecom · USA:NJ:Middletown +1

This role is for an AVP-Member of Technical Staff at AT&T, focusing on leading enterprise technology modernization strategy, governance, and execution, with a strong emphasis on AI-enabled systems, agentic architectures, and API enablement. The position involves directing the design, development, and integration of scalable platforms and driving the adoption of AI/ML, RAG, LLM integration, and intelligent workflow orchestration to improve automation and efficiency. The role requires building internal engineering capabilities and providing executive technical leadership across various technology domains.

What you'd actually do

  1. Lead enterprise-wide technology modernization strategy, governance, operating models, investment priorities, and execution across network software platforms, APIs, automation, cloud-native architectures, and AI-enabled systems.
  2. Establish architecture vision, engineering standards, integration frameworks, and modernization roadmaps that align technology transformation initiatives with business goals.
  3. Direct the design, development, integration, and operational readiness of scalable platforms, APIs, real-time data pipelines, distributed systems, and cloud-native solutions supporting automated network operations.
  4. Drive adoption of AI-enabled, agentic, and cloud-native architectures, including AI/ML, RAG, LLM integration, reasoning models, and intelligent workflow orchestration to improve automation, resiliency, delivery velocity, and operational efficiency.
  5. Build and scale internal engineering capabilities, strengthen platform ownership, reduce dependency on vendor-managed solutions, and improve delivery velocity across critical technology domains.

Skills

Required

  • Enterprise Technology Leadership
  • Strategic Technical Leadership
  • Platform Architecture & Engineering
  • AI & Transformation Leadership
  • Organizational Capability Development
  • Executive Governance & Investment Strategy
  • Project and Organizational Leadership
  • Research & Innovation
  • Industry Leadership
  • Enterprise OSS Architecture & Modernization
  • Enterprise Network Software
  • API Strategy & Integration
  • Cloud-Native Platforms
  • AI/ML & Agentic Architectures
  • Systems Architecture
  • Real-Time Data Platforms
  • Platform Engineering
  • Software Development
  • DevOps Automation
  • Telecommunications Network Technologies
  • Designs and executes technology strategies supporting organizational objectives, enterprise modernization, and innovation.
  • Oversees departmental programs and remains actively engaged in architecture, engineering, and implementation decisions.
  • Typically leads large organizations consisting of supervisors, managers, and professional-level employees.
  • Influences hiring, compensation, promotion, performance management, and disciplinary decisions.
  • Strong expertise in enterprise platform modernization, OSS/API ecosystems, cloud-native technologies, AI-enabled transformation, systems integration, and large-scale software engineering environments.
  • Ability to align multiple executive organizations while driving governance, modernization, investment, vendor, and workforce strategies.
  • Bachelor's degree (BS/BA) preferred in Engineering, Computer Science. A Masters in related STEM field is desired.
  • Minimum of 10 years of related experience in technical leadership across telecom architecture, OSS/API modernization, platform design, real-time data pipelines, systems integration, and legacy-to-cloud or agentic transformation.
  • Demonstrated leadership of large, multi-disciplinary technical organizations driving AI-enabled modernization, including ML/AI, RAG, agentic workflows, LLM integration, and control-plane architecture.
  • Deep expertise across network software domains and enabling technologies, including Mobility RAN, IP networks, optical networks, Azure, AWS, Kubernetes, Kafka, Mule, Kong, Snowflake, Databricks, ServiceNow, DevOps automation, and complex system integration.
  • Strong programming and automation foundation, including Python, Java, cloud-native automation, and infrastructure automation.
  • Demonstrated external technical credibility through patents, publications, conference speaking, standards contributions, or partner engagements.
  • Executive-level communication and leadership capability to influence strategy, align stakeholders, and drive workforce, investment, and vendor strategies.

Nice to have

  • A Masters in related STEM field is desired.

What the JD emphasized

  • Requires management of employees within the MTS organization.
  • Demonstrated leadership of large, multi-disciplinary technical organizations driving AI-enabled modernization, including ML/AI, RAG, agentic workflows, LLM integration, and control-plane architecture.

Other signals

  • AI-enabled systems
  • AI/ML, RAG, LLM integration, reasoning models, and intelligent workflow orchestration
  • agentic, and cloud-native architectures
  • Demonstrated leadership of large, multi-disciplinary technical organizations driving AI-enabled modernization