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Job Title: Principal Release Train Engineer (RTE) – Multi-Vendor AI Transformation
Role Overview
We are seeking a highly skilled Principal Release Train Engineer (RTE) to lead the end-to-end delivery of a high-profile AI Enablement program for a major Healthcare organization.
In this role, you will act as the chief facilitator and strategic coordinator across a complex ecosystem comprising four distinct tier-1 global consultancies, system integrators, and frontier AI research labs. You will be responsible for synchronizing multiple Agile Release Trains (ARTs), aligning cross-company engineering tracks, and driving the delivery of cutting-edge AI products within a heavily regulated healthcare environment.
Key Responsibilities
Multi-Vendor & Ecosystem Orchestration
Lead Cross-Company Syncs: Facilitate and optimize high-level scrum-of-scrums, program syncs, and alignment meetings across four major enterprise vendors and consulting partners.
Bridge Vendor Cultures: Act as the central connective tissue between strategic consultants, systems integrators, AI technology providers, and internal healthcare stakeholders.
Manage Complex Dependencies: Map and manage intricate technical and operational dependencies across multiple organizational boundaries to ensure seamless code and model integration.
Program Execution & Governance
Facilitate Program Increments: Lead the Planning, Execution, and Inspect & Adapt phases for the multi-vendor AI program, ensuring all parties are aligned on product roadmaps.
Remove Enterprise Blockers: Aggressively identify, escalate, and resolve systemic impediments, resource constraints, and cross-company bottlenecks.
Risk Management: Mitigate delivery risks unique to multi-party contracts, data sharing agreements, and distributed engineering teams.
AI & Healthcare Delivery
Guard Flow Quality: Ensure AI models, data pipelines, and application layers are delivered safely within a healthcare environment.
Optimize Delivery Metrics: Establish and track unified program-level metrics to measure delivery velocity, predictability, and the business value of AI features.
Qualifications & Requirements
Experience
7+ years of experience as a Release Train Engineer (RTE), Program Manager, or Agile Practice Lead.
Proven Track Record: Demonstrated success managing large-scale programs ($10M+ budgets) involving multiple external vendors, tier-1 consultancies, and third-party technology providers.
Domain Knowledge: Direct experience delivering AI/ML products, data platforms, or advanced analytics solutions.
Skills & Certifications
Certifications: SAFe Release Train Engineer (RTE) or SAFe Program Consultant (SPC) is required.
Framework Mastery: Deep understanding of Agile, Scrum, Kanban, and scaling frameworks in a multi-contractor environment.
Ecosystem Diplomat: Exceptional stakeholder management, conflict resolution, and negotiation skills to align competing vendor priorities toward a single mission.
Preferred Qualifications (The "Pluses")
🎯 Generative AI Expertise: Hands-on experience scaling programs focused on Large Language Models (LLMs), foundational model fine-tuning, Retrieval-Augmented Generation (RAG), and AI safety/alignment protocols.
⚕️ Healthcare Compliance: Deep understanding of HIPAA, HITRUST, and GDPR regulations regarding patient data privacy, PHI protection, and secure multi-party data sharing.
📋 Medical Governance: Familiarity with FDA guidelines for Software as a Medical Device (SaMD), clinical validation workflows, or healthcare interoperability standards (e.g., HL7/FHIR).
Work arrangement
No
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