Release Trainee Engineer

Role Purpose

• 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.

Location: Berwyn, PA

Key Responsibilities

• Duty What the RTE does
• Roadmap execution Tracks roadmap execution and milestone delivery across
• engineering teams; turns the approved plan into a coordinated
• cross-team delivery schedule.

Onboarding &

• integration
• Coordinates onboarding, integration, and implementation schedules
• for foundational and framework requirements from domain teams.

Cross-team

• dependencies
• Actively manages and resolves cross-team technical/delivery
• dependencies; engages domain leads directly to unblock work
• before it hits the critical path.
• Operating cadence Runs the program's status meetings, working sessions, and
• communication forums across engineering, architecture, platform,
• and security.
• PI Planning (SAFe) Owns Pre-PI Planning and PI Planning at the ART level: builds the
• invite list (Tech & Product leads, Architect, Scrum Leads, Team
• Leads), facilitates Day 1/Day 2, confirms dependencies and
• capacity, and drives the ART to a locked plan.
• Risk & escalation Maintains the RAID log (Risks, Assumptions, Issues, Dependencies),
• drives mitigation plans to closure, and escalates to leadership with
• options and recommendations.
• Release coordination Coordinates release planning, technical readiness reviews, and
• deployment schedules across contributing teams.
• Status reporting Provides consolidated delivery/risk/timeline reporting tailored to
• both working teams and senior leadership.

Meeting

• follow-through
• Tracks decisions, owners, and action items from key working
• sessions and drives them to closure.

Required Experience

• ● 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.