More jobs:
Corporate Vice President - Release Train Engineer; RTE; Agentic AI Web Application
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-09-01
Listing for:
New-York-Life
Part Time
position Listed on 2026-09-01
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), IT Project Manager
Job Description & How to Apply Below
Location: New York
Job Description
Requisition ID94751
Department Tech Data AI Ventures Job Function Tech Data AI Ventures Location New York,New York,United States Role Location Designation Hybrid - 3 days per week Location Designation:
Hybrid - 3 days per week Release Train Engineer (RTE) – Agentic AI Web Application
Role Overview We are seeking an experienced Release Train Engineer (RTE) to lead delivery of a next-generation Agentic AI web application. The RTE will serve as the delivery and execution leader across multiple agile teams responsible for building AI-powered user experiences, autonomous/agentic workflows, platform services, integrations, and production capabilities.
This role sits at the intersection of product, engineering, AI/ML, architecture, security, and operations, ensuring teams remain aligned on outcomes while managing the unique delivery risks associated with rapidly evolving generative and agentic AI technologies.
The ideal candidate combines strong SAFe/Agile program leadership with sufficient technical fluency to facilitate discussions involving LLMs, AI agents, APIs, cloud platforms, data, security, observability, and modern web architectures.
Key Responsibilities Agile Release Train Leadership
· Lead and facilitate the Agile Release Train (ART) across product, web engineering, AI/ML, platform, architecture, security, QA, and Dev Ops teams.
· Facilitate PI Planning, ART Syncs, Scrum of Scrums, system demos, Inspect & Adapt sessions, and dependency/risk reviews.
· Partner with Product Management and Architecture to translate product strategy into executable PI objectives and delivery plans.
· Maintain visibility into milestones, dependencies, risks, impediments, and cross-team commitments.
· Drive predictable delivery without sacrificing experimentation and learning required for emerging AI capabilities.
· Coach teams and leaders on Agile/SAFe practices and continuously improve ART effectiveness.
Agentic AI Delivery
· Coordinate delivery of capabilities involving LLMs, AI agents, tool/function calling, retrieval-augmented generation (RAG), orchestration, memory/context management, and human-in-the-loop workflows.
· Manage dependencies between AI capabilities and traditional application components such as frontend, backend services, APIs, identity, databases, and enterprise integrations.
· Help teams distinguish between AI experimentation, production engineering, and product commitments, creating appropriate delivery mechanisms for each.
· Coordinate evaluation and readiness criteria for AI capabilities, including quality, accuracy, latency, reliability, safety, and cost.
· Facilitate resolution of issues involving model dependencies, prompts, agent behavior, data availability, integrations, and platform constraints.
Release & Production Readiness
· Coordinate end-to-end release planning across development, testing, security, infrastructure, and operations.
· Establish clear release readiness criteria and ensure teams address critical dependencies before production deployment.
· Partner with Dev Ops/SRE teams to strengthen CI/CD, automated testing, observability, rollback strategies, feature flags, and production monitoring.
· Ensure releases account for AI-specific operational considerations such as model availability, token consumption, latency, hallucination risk, agent failures, and third-party AI service dependencies.
· Facilitate post-release reviews and ensure production learnings are incorporated into subsequent planning.
Metrics & Continuous Improvement Develop and maintain ART-level metrics covering:
· PI objective achievement
· Predictability and delivery confidence
· Feature/epic flow
· Cycle and lead time
· Dependency aging
· Defects and production incidents
· Release frequency
· Deployment success
· AI quality/evaluation results
· Reliability and latency
· AI/model usage and cost
Use metrics to identify systemic bottlenecks and facilitate measurable improvements rather than using metrics solely for status reporting.
Required Qualifications
· 10+ years of experience in Agile delivery, program management, technical program management, or engineering delivery leadership.
· 5+ years of experience functioning…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×