| Location | Berwyn, PA |
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.