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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Corporate Vice President - Solution Architect & Distinguished Engineer - **Company:** New York, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $185,000.0 - $264,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Audit Trail, Cloud Computing, Cyber Security, Decision Support Systems, Interoperability, Machine Learning, Software Engineering, Systems Architecture, Enterprise Data Management, Large Language Models, Generative AI, Information Technology, Cloud Migration, Virtual Agents, Devsecops - **Published:** September 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=996197e7d33f79cb ## About the Role * 15+ years of progressive experience in software engineering, enterprise architecture, AI/ML engineering, platform engineering, or related technical disciplines. * Demonstrated success setting technical direction across complex enterprise environments involving multiple applications, platforms, data domains, and engineering teams. * Deep expertise in modern application and distributed-system architecture, including cloud, APIs, services, events, integration, data, security, resilience, observability, and DevSecOps. * Strong experience with Generative AI and agentic AI, including LLM-based systems, retrieval and grounding, context engineering, agent orchestration, tool integration, evaluation, guardrails, and observability. * Proven ability to translate business strategy into target architectures, reusable patterns, prototypes, and practical implementation guidance. * Strong hands-on technical credibility and the ability to engage deeply in architecture, design, experimentation, and complex engineering decisions. * Exceptional systems thinking and the ability to solve ambiguous problems that cross organizational and technology boundaries. * Demonstrated ability to influence senior business and technology leaders through clear communication, sound judgment, technical credibility, and pragmatic decision-making. * A record of mentoring senior technical talent and elevating engineering practices without relying on direct reporting authority. * Bachelor's degree in computer science, engineering, or a related discipline, or equivalent practical experience., * Experience in financial planning, insurance, wealth management, advisor technology, or another highly regulated environment. * Experience modernizing complex enterprise ecosystems into composable, API- and event-enabled architectures. * Experience designing AI-enabled experiences that combine enterprise data, workflow, decision support, and human judgment. * Experience with responsible AI architectures where security, privacy, explainability, traceability, auditability, and human accountability are essential. * Familiarity with advisor and client journeys, household data, planning and calculation engines, CRM, specialist-support workflows, or enterprise experience platforms. ## Description * Define and evolve cross-domain architecture direction aligned with Field Experience priorities and enterprise technology standards. * Create target-state architectures and modernization strategies spanning applications, cloud, data, integration, AI, and digital experiences. * Identify opportunities to simplify fragmented experiences, reduce duplication, and establish reusable capabilities across business domains. * Guide build, buy, reuse, integration, and modernization decisions through clear principles, evidence, and pragmatic trade-off analysis. * Partner with Product, Engineering, Enterprise Architecture, Data & AI, Experience Design, Cybersecurity, Risk, and business stakeholders to translate strategy into scalable technical capabilities. Build Modern, Composable Experiences * Create reusable patterns for APIs, services, events, data products, composable user experiences, shared context, and embedded intelligence. * Define how Field Experience capabilities integrate with NYL360 and other enterprise experiences while preserving clear ownership of domain logic, authoritative data, and outcomes. * Promote architectures that allow capabilities to evolve independently while contributing to coherent advisor, field leader, and client journeys. * Guide cloud modernization, interoperability, resilience, security, observability, and DevSecOps practices across strategic initiatives. * Help teams modernize complex technology landscapes while preserving authoritative systems, calculations, controls, and specialist capabilities where appropriate. Reimagine Field Experience, Productivity & Planning in the New World Provide deep architecture leadership for Planning Solutions and Protection-Powered Growth as an important area of impact within the broader Field Experience mandate. Help rethink the end-to-end planning environment across: * Client and household discovery, data gathering, and trusted context. * Planning assessments, analysis, stress testing, scenario modeling, and calculation engines. * Solution design, recommendation support, storytelling, education, and client presentations. * Advanced-market and specialist collaboration for more complex client needs. * Advisor workflow, CRM, planning case management, meeting preparation, follow-through, and ongoing review. * Integration of planning capabilities into NYL360 through governed data, APIs, events, domain experiences, and agentic skills. * Generative AI and agentic experiences that synthesize information, guide workflows, and enable action while preserving advisor judgment, review, and accountability. * Evaluate emerging technologies and convert promising capabilities into practical, scalable enterprise solutions. Provide Hands-On Technical Leadership * Develop reference architectures, prototypes, reference implementations, reusable frameworks, and working examples that accelerate engineering adoption. * Engage directly in critical architecture and solution-design reviews; contribute to implementation detail or code when needed to validate feasibility or establish a pattern. * Solve complex technical problems spanning applications, integration, data, cloud, security, platform engineering, and AI. * Design secure approaches for connecting AI and agents to enterprise data, knowledge, APIs, workflows, and business capabilities. * Embed responsible AI, privacy, traceability, auditability, quality, escalation, and human oversight into AI-enabled experiences. * Identify architectural debt, duplication, platform fragmentation, and modernization opportunities, and help teams converge on practical target states. * Mentor senior engineers and architects, strengthen technical communities, and raise engineering and architecture standards through influence and collaboration., * Field Experience has a clear, modern architecture direction that connects portfolio priorities while allowing capabilities to evolve with appropriate autonomy. * Reusable application, integration, data, and AI patterns accelerate delivery, improve consistency, and reduce unnecessary duplication. * NYL360 and Field Experience capabilities work together through well-defined interfaces, trusted context, and composable experiences. * Generative AI and agentic capabilities progress from experimentation to secure, scalable, observable, and measurable adoption. * Planning is reimagined for the new world, bringing together trusted data, planning intelligence, specialist expertise, modern experiences, and responsible AI to create more connected advisor and client journeys. * Engineering and architecture teams benefit from stronger technical patterns, prototypes, mentorship, and hands-on technical leadership. * New York Life is positioned to adopt emerging technologies while maintaining the security, resilience, governance, and trust expected in financial services. ## Related Videos - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Resilient by Design: Building Robust Architectures in High-Stakes Financial Systems](https://www.wearedevelopers.com/videos/2106-resilient-by-design-building-robust-architectures-in-high-stakes-financial-systems) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [DevSecOps: Security in DevOps](https://www.wearedevelopers.com/videos/36-devsecops-security-in-devops) - [The shadows that follow the AI generative models](https://www.wearedevelopers.com/videos/624-the-shadows-that-follow-the-ai-generative-models) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)