Release Train Engineer

RADFORD CITY SCHOOLS PARTNERS FOR EXCELLENCE FOUNDATION, INC.
Berwyn, PA, United States
16 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Information Systems RAID Scrum Methodology Software Architecture Azure Machine Learning Statistical Process Control (SPC) Enterprise Data Management Enterprise Software Applications Large Language Models
+6 more
Generative AI AI Platforms Information Technology Machine Learning Operations Data Pipelines Microservices

Job description

The RTE for AI Foundation serves as orchestration lead for the AI Foundation Agile Release Train (ART), responsible for translating the Product-owned roadmap into a coordinated cross-team delivery plan. This role drives alignment, planning, execution, dependency management, risk mitigation, and operating cadence across product and engineering teams, while ensuring the predictable delivery of enterprise AI platform capabilities and shared AI foundations. The RTE provides end-to-end execution visibility, resolves cross-domain dependencies, removes impediments, and delivers transparent program status and outcomes to leadership.

Requirements

  • Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related technical field.
  • 8+ years of experience in Agile delivery, Program Management, Scrum Master, Release Train Engineer (RTE), Technical Program Management, Engineering Program Management, or technology leadership roles.
  • Experience leading large, multi-team programs involving cloud, platform, data, AI, or enterprise technology initiatives.
  • Experience supporting AI/ML platform programs, Generative AI initiatives, enterprise data platforms, or large-scale technical modernization efforts.
  • Strong understanding of SAFe Agile principles, Agile Release Train (ART) operations, and scaled delivery practices.
  • Demonstrated ability to manage complex cross-team technical dependencies and drive alignment and resolution without direct authority over participating teams.
  • Experience coordinating delivery across engineering, architecture, product, and platform teams within a complex enterprise environment.
  • Experience managing enterprise stakeholders and providing visibility into program status, risks, dependencies, milestones, and delivery outcomes.
  • Working knowledge of modern software architecture concepts, including APIs, integration patterns, microservices, platform architectures, and data pipelines.
  • Proven experience developing and maintaining RAID logs, dependency trackers, integrated delivery plans, and program governance artifacts.
  • Strong facilitation, communication, stakeholder management, and problem-solving skills, with the ability to effectively engage both technical teams and senior leadership.
  • Experience driving program execution, release coordination, risk management, and operational governance across multiple delivery teams.

Preferred Experience

  • Working knowledge of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI governance, MLOps, and modern AI delivery practices.
  • Experience supporting enterprise-wide AI transformation, adoption, or AI platform enablement programs.
  • SAFe Release Train Engineer (RTE), PgMP, PMP, SPC, or comparable program management and Agile certifications.
  • Experience leading delivery and coordination across global, distributed, cross-functional engineering organizations.
  • Self-driven, highly organized, and execution-oriented, with the ability to navigate ambiguity and deliver outcomes in a fast-paced and evolving technology environment.

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