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Job description
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 DevOps 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 DevOps/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 as an RTE, Senior Scrum Master, Agile Program Lead, or equivalent cross-team delivery leader.
Demonstrated experience coordinating multiple engineering teams delivering complex enterprise applications.
Strong knowledge of SAFe, Scrum, Kanban, Agile planning, dependency management, and release management.
Experience working with modern web/application architectures, APIs, cloud platforms, CI/CD, and DevOps practices.
Working knowledge of Generative AI and LLM-based application architectures.
Ability to facilitate technical conversations among AI engineers, software engineers, architects, product managers, security teams, and business stakeholders.
Strong executive communication, facilitation, conflict resolution, and stakeholder-management skills.
Proven ability to identify systemic impediments and drive resolution across organizational boundaries.
Preferred Qualifications
SAFe Release Train Engineer (RTE), SAFe Practice Consultant (SPC), or equivalent certification.
Experience delivering Generative AI or Agentic AI applications.
Familiarity with concepts such as:LLMs and foundation models
AI agents and multi-agent architectures
Prompt engineering and prompt management
Tool/function calling
RAG and vector search
Agent orchestration
AI evaluation frameworks
Guardrails and Responsible AI
AI observability
Model/token cost management
Experience with public cloud and AI platforms such as Azure, AWS, or Google Cloud.
Experience delivering applications in a regulated enterprise environment.
Familiarity with modern web architectures, microservices, event-driven systems, API ecosystems, and enterprise identity/security.
Key Competencies
Execution Leadership: Creates clarity across complex, interdependent teams and drives commitments through completion.
Technical Fluency: Understands enough of the AI and application architecture to identify dependencies, risks, and sequencing challenges without attempting to replace engineering leadership.
AI Delivery Mindset: Recognizes that AI development is probabilistic and experimental and adapts traditional delivery practices accordingly.
Systems Thinking: Identifies bottlenecks across the entire value stream rather than optimizing individual teams in isolation.
Facilitation: Builds alignment among product, engineering, AI, architecture, security, operations, and business stakeholders.
Risk Management: Proactively surfaces technical, operational, security, and AI-specific risks and drives them toward resolution.
Outcome Orientation: Focuses the ART on measurable customer and business outcomes rather than simply completing stories or maximizing velocity.
What Makes This RTE Role Different
This is not simply a ceremony-management or status-reporting RTE position.
The RTE is expected to act as the execution integrator for the Agentic AI product, connecting product intent with AI experimentation, software engineering, enterprise architecture, governance, and production operations.
The successful candidate will create enough structure to deliver a reliable enterprise product while preserving the experimentation and rapid learning necessary to build differentiated Agentic AI experiences.
Pay Transparency
Salary Range: $147,500-$211,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.
Recognized by Fortune’s World’s Most Admired Companies
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs.
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Worksite address
new york, NY, 10261, US
Who can apply
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