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About the Role
The Forward Deployed Engineer is an engineer embedded close to the business and outcome team, responsible for rapidly converting validated product intent, prototypes, and implementation specifications into working, production-ready technology. The role combines software engineering, systems thinking, AI-assisted development, integration, and direct collaboration with users and domain teams. AI-assisted engineering is a core competency and is used throughout the software development lifecycle.
Responsibilities
- Build and iterate working software directly from validated prototypes, PRDs, specifications, and architecture patterns.
- Use AI-assisted engineering tools extensively for code generation, refactoring, testing, documentation, debugging, and implementation planning while maintaining engineering accountability for the output.
- 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.
Requirements
- 5+ years of progressively responsible software engineering, application development, platform engineering, data engineering, or related technical experience.
- 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 using AI-assisted software development tools and willingness to build with AI as a standard engineering practice.
- Strong problem-solving, communication, and collaboration skills with the ability to work directly with business and technical stakeholders.
- 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.
Skills
- Software Engineering
- Application Development
- Platform Engineering
- Data Engineering
- Modern Programming Languages and Frameworks
- API Integration
- Cloud Services
- Data Platforms
- Modern Software Architecture Patterns
- Automated Testing
- CI/CD
- Observability
- Security
- Production Support
- AI-Assisted Software Development
- Problem-Solving
- Communication
- Collaboration
- Generative AI
- Agentic Applications
- Tool Use
- Retrieval
- Orchestration
- Evaluation
- Human-in-the-loop Patterns
- Financial Services
- Insurance
- Finance
- Investments
- Regulated Enterprise Environments
- Forward-Deployed Engineering
- Consulting
- Startup Environments
- Product Engineering
- Cloud-Native Architecture
- Enterprise Integration
Location
- New York, NY
Work Type
- Hybrid
Experience Level
- 5+ years of progressively responsible software engineering, application development, platform engineering, data engineering, or related technical experience.
Salary/Compensations
- $100,000-$143,000
Benefits
- Full package of benefits
- Unique offerings for a modern workforce
- Leave programs
- Adoption assistance
- Student loan repayment programs
- Annual discretionary bonus
About the Company
- 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.
- 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.
Equal Opportunity
- 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.
- 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.