Senior Associate - Forward Deployed Engineer

New York Life•New York, NY

2d•$100,000 - $143,000•Hybrid

About The Position

Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes. Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last. New York Life is advancing strategic transformations designed to reimagine critical enterprise capabilities through business process redesign, modern technology, data, analytics, automation, and AI. Delivery is organized around small, outcome-focused teams that bring together Product Owners, forward deployed talent, domain and data specialists, control partners, and strategic engineering partners. The delivery model is designed around an agentic software development lifecycle. Teams move iteratively from business outcomes and rapid prototypes into implementation-grade specifications that can be used by AI engineering agents to accelerate design, coding, testing, documentation and refinement. Engineers increasingly orchestrate these agentic development workflows, applying human engineering judgment to architecture, integration, generated code, controls and production readiness. The initial focus for these roles will be Enterprise Plan to Perform (EPP), one of New York Life's strategic transformations focused on reimagining enterprise financial planning and performance through modern Technology, data, analytics, automation and AI.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field with 5+ years of relevant experience; a Master’s degree with 3+ years of relevant experience; or equivalent practical experience.
Agentic Software Development - Experience using AI engineering agents and specification-driven development practices to accelerate software design, implementation, testing and refinement while retaining accountability for engineering quality.
Strong hands-on software engineering capability in one or more modern programming languages and frameworks.
Experience building and integrating production applications using APIs, cloud services, data platforms, and modern software architecture patterns.
Demonstrated ability to work from business intent and specifications rather than only from pre-defined technical tasks.
Experience with automated testing, CI/CD, observability, security, and production support practices.
Practical experience with generative AI, AI-assisted engineering and/or agentic software development, with demonstrated ability to rapidly learn and apply emerging AI engineering patterns.
Strong problem-solving, communication, and collaboration skills with the ability to work directly with business and technical stakeholders.

Nice To Haves

Experience building generative AI or agentic applications, including tool use, retrieval, orchestration, evaluation, or human-in-the-loop patterns.
Experience in financial services, insurance, finance, investments, or another regulated enterprise environment.
Experience in forward-deployed, consulting, startup, or product engineering environments requiring high autonomy and rapid iteration.
Experience with cloud-native architecture, APIs, data platforms, and enterprise integration.
Experience in financial services, insurance, Finance/FP&A, investments, or another complex regulated enterprise environment.

Responsibilities

Translate validated prototypes, product intent and implementation specifications into working software using agentic and AI-assisted development workflows.
Orchestrate AI engineering agents across implementation activities such as code generation, refactoring, testing, documentation, debugging and implementation planning, while reviewing and validating generated output and retaining engineering accountability for the solution.
Iterate between prototype, specification and implementation as technical learning emerges, working closely with Product Owners and other team members to resolve ambiguity quickly rather than relying on traditional sequential handoffs.
Translate functional specifications into technical designs, components, APIs, integrations, data access patterns, and production-ready code.
Partner closely with Forward Deployed Analysts to resolve ambiguity and refine specifications as technical learning emerges.
Work directly with Product Owners, users, Domain SMEs, Data SMEs, architects, and strategic partner engineers in rapid feedback cycles.
Integrate applications and agents with enterprise APIs, data products, platforms, identity, security, and control capabilities.
Implement agentic and AI-enabled features using approved enterprise patterns, including tool integration, human checkpoints, observability, evaluation, and traceability.
Develop automated tests and participate in validation, deployment, production readiness, and post-release improvement.
Apply strong engineering judgment to distinguish prototype shortcuts from production requirements and close the gap deliberately.
Contribute reusable code, patterns, components, and engineering practices that can be adopted across outcome teams.