• Responsible for building enterprise-wide AI fluency as a core leadership and workforce capability • Design and activate scalable, modern learning experiences that move employees from awareness to confident application of AI • Lead an "AI in Action" ecosystem supporting rapid experimentation and real-world application through partnerships • Identify and prioritize high-value AI use cases for embedding AI into daily workflows • Partner with the Senior Creative Director for internal AI leverage through creative design and communities of practice • Measure and evolve AI capability maturity across the enterprise • Continuously iterate learning and enablement strategies based on data and learner behavior

• Be the first point of contact for client teams • Figure out what the client actually needs and what the response should look like • Go into Notion, Linear, Slack, Google Workspace, Claude, Fireflies, etc. and make it real • Read messy material, find the structure, produce a summary, decision log, or procedure • Keep each client's institutional memory layer organized, current, and trustworthy • Review AI-assisted outputs and provide corrections • Write procedures and reference materials for client's team • Onboard new clients and streamline structures

Location Designation: Fully Remote Group Benefit Solutions deliverscomprehensive insurance and absence management solutions for mid-sized and large companies. Our work fosters a healthier, happier, and more secure workforce, contributing to New York Life's legacy of beingthere when we're needed most. Here, you'll design, implement, and support these solutions directly impacting employees' lives. At our core, we provide financial security and peace of mind to people through our absence, accident, disability, voluntary benefits, and life insurance solutions. Click here to learn more about Group Benefits solutions. Role Overview: This role is part of the Learning and Knowledge Management Center of Excellence, supporting the Group Benefit Solutions business. The Learning Experience Designer plays a critical role in expanding the organization's ability to design and deliver scalable, high-quality learning solutions that keep pace with evolving business priorities. The focus is on building user-centered learning experiences and performance support that enable real-world application, strengthen role-specific capabilities, and support new ways of working. It is essential to ensure learning is consistent, scalable, and aligned to business needs, rather than fragmented or reactive. In addition, this position operates at the intersection of learning, business transformation, and AI enablement by designing experiences that both prepare employees to use AI in their roles and leverage AI to improve how learning is created, delivered, and applied. The Learning Experience Designer applies an organizational development approach to learning design, using iterative, data-driven methods to assess needs, design solutions, and continuously improve outcomes. By combining principles from organizational development and instructional design, this role ensures solutions address not only knowledge and skill gaps, but also workflow, behavior, and system-level performance. What You'll Do: The Learning Experience Designer leads the design and development of scalable, AI-enabled, human-centric learning experiences that support workforce capability and performance. This role moves beyond traditional instructional design to focus on: • Scaling learning across multiple priority initiatives • Reducing reliance on ad hoc or one-off solutions • Designing for real work, not just knowledge transfer • Embedding learning into the flow of work • Integrating organizational development practices into instructional design methodologies, including iterative cycles of analysis, design, implementation, and evaluation, to ensure solutions drive sustained performance improvement The role partners across business, operations, and learning teams to deliver solutions that are efficient to build, easy to apply, and aligned to how work is evolving. It also provides guidance and structure to extend learning design capacity across distributed teams while maintaining quality and consistency. 1. Performance Consulting & Needs Analysis • Partner with business leaders and stakeholders to identify performance needs, workflow changes, and capability gaps • Diagnose performance challenges using an organizational development lens, considering people, process, technology, and environment to determine the right intervention, which may include learning, workflow changes, or other solutions • Define success metrics tied to business outcomes such as efficiency, quality, and time to proficiency • Identify opportunities to scale solutions across teams and initiatives • Use iterative discovery and feedback loops to continuously refine understanding of business needs and solution effectiveness 2. Scalable Learning Experience Design • Design and develop scalable, user-centered learning experiences and performance support • Create solutions that enable real-world application and role-specific capability development • Build reusable design frameworks, templates, and patterns to increase efficiency and consistency • Ensure learning solutions can be deployed across multiple teams and use cases without significant rework 3. AI-Enabled Learning & Rapid Development • Use AI-enabled tools and platforms to accelerate design and development while maintaining quality • Design learning that enables employees to effectively use AI tools in their roles • Incorporate practical application, guided practice, and real use cases into learning experiences • Apply rapid design and iterative development approaches to meet business timelines 4. Workflow Integration & Performance Support • Design learning that integrates into the flow of work, not separate from it • Develop job aids, embedded guidance, and performance support aligned to systems and tools • Ensure learning supports decision-making, problem-solving, and day-to-day execution 5. Pilot, Test, and Scale • Support pilot programs and early implementations to validate learning effectiveness • Gather feedback, analyze performance data, and identify improvement opportunities • Refine and scale solutions based on pilot results and evolving business needs • Contribute to a test-and-learn approach that supports continuous improvement • Apply an iterative test-and-learn approach grounded in organizational development principles, using pilots to inform continuous refinement and scaling decisions 6. Partnership & Capacity Enablement • Partner with learning spoke teams and business-aligned learning resources to extend design and development capacity • Provide guidance, standards, and support to ensure consistency and quality across distributed efforts • Enable others to build effective learning using shared tools, frameworks, and best practices • Reduce reliance on fragmented or inconsistent learning solutions 7. Evaluation & Continuous Improvement • Measure effectiveness of learning solutions using business and learner data • Continuously improve learning experiences based on feedback, analytics, and outcomes • Ensure learning remains current, relevant, and aligned to evolving priorities • Evaluate not only learning outcomes, but also impact on behavior, workflow effectiveness, and business performance 8. Leadership & Influence • Provide mentorship and guidance to other learning experience designers • Establish and uphold standards for scalable, high-quality learning design • Influence stakeholders on effective approaches to learning, performance, and capability building • Act as a thought partner in shaping how learning supports evolving ways of working What You'll Bring: **Please share 2-3 work samples that demonstrate a range of formats or tools (e.g., eLearning, job aids, performance support, or AI-enabled content).** • Bachelor's degree or equivalent experience • 7+ years of experience in instructional design or learning experience design • Demonstrated experience designing scalable learning solutions across multiple initiatives • Experience using rapid design approaches and modern learning technologies • Experience designing training for digital tools, systems, or AI-enabled workflows preferred • Strong understanding of adult learning principles and design methodologies (ADDIE, Agile, etc.) • Experience applying organizational development principles, performance consulting, or change-oriented methodologies to learning and performance solutions • Ability to translate complex processes into practical, user-centered learning experiences • Experience working in fast-paced environments with shifting priorities CORE CAPABILITIES • Scalable Learning Design • AI & Digital Enablement Mindset • Performance Consulting • Strategic Thinking • Systems Thinking • Collaboration & Influence • Adaptability & Innovation • Organizational Development Mindset Colorado Statement: It is recommended that all qualified candidates apply to this posting as soon as possible. Residents of Colorado are hereby notified that the deadline to apply is two weeks from the Posting Date listed above. #LI-SV1 #LI-REMOTE Pay Transparency Salary range: $100,000 - $120,000 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. Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications, and job location.In addition to base salary, employees may also be eligible to participate in an incentive program. 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 hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site. Our Diversity Promise We believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture. Click here to learn more about how we have been recognized for our leadership. 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 www.NewYorkLife.com. Job Requisition ID: 93994 #GBS

Role Description We are looking for an experienced AI Developer with strong expertise in AWS Bedrock to design, develop and deploy scalable AI-driven solutions. - Design, build and maintain AI/ML solutions using AWS Bedrock and related AWS services - Develop and deploy generative AI applications powered by foundation models such as Anthropic Claude and Amazon Titan - Create and optimize prompt engineering strategies to improve model quality and performance - Integrate AI capabilities into existing platforms through APIs and microservices - Build Retrieval-Augmented Generation (RAG) pipelines using vector databases - Fine-tune models when required and assess outputs for performance, accuracy, and bias - Collaborate with data engineers, product teams, and business stakeholders to identify and implement AI use cases - Ensure AI solutions meet security, compliance, scalability, and cost-efficiency requirements on AWS - Monitor, troubleshoot, and continuously enhance deployed AI systems Qualifications - Proven hands-on experience with AWS Bedrock and cloud-native application development - Strong programming skills in Python (preferred) or other backend technologies - Solid understanding of Large Language Models (LLMs), generative AI, and NLP concepts - Experience with AWS services such as Lambda, S3, API Gateway, SageMaker, and DynamoDB - Knowledge of prompt engineering, embeddings, and vector databases such as Pinecone or OpenSearch - Experience designing and developing RESTful APIs and microservices - Familiarity with CI/CD pipelines and DevOps methodologies - Strong analytical, troubleshooting and problem-solving skills