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.