Location Designation: Hybrid - 3 days per quarter
Technology, Data, AI and Ventures
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.
We are seeking a full-stack software engineer with AI expertise to help design and deliver modern, cloud-native agentic AI solutions. This role sits within our core systems team and partners closely with engineers, architects, data scientists, and product teams to build scalable, secure, and highly available solutions leveraging AWS, GCP, APIs, DevSecOps, and AI. You will play a key role in advancing automation, developer productivity, and AI-enabled capabilities while contributing to enterprise standards and best practices.
What You’ll Do
- Design, build and deploy cloud-native applications and platforms on AWS and GCP
- Apply AI and automation to improve developer experience and productivity
- Design and consume APIs and reusable services
- Ensure solutions meet security, performance, resilience, and compliance standards
- Support already existing generative and agentic AI applications
- Collaborate with cross-functional teams in an Agile delivery environment
- Contribute to architecture evolution, technical standards, and engineering best practices in the space of agentic AI
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Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field
- 3-5 years of software engineering experience building production-grade systems
- Hands-on experience with AWS or GCP, cloud-native architecture, and infrastructure as code (Terraform)
- Experience with deploying scalable cloud-native applications to production
- Knowledge of agentic frameworks for multi-agent orchestration (e.g. LangChain, Google ADK)
- Experience with data orchestration, vector database management, and data evaluations to optimize usage with LLMs
- Proficiency with modern programming and scripting languages (e.g., Python, JavaScript, TypeScript)
- Experience with containerization (EKS/ECR), APIs development, and modern development tools (GitHub, Jira)
- Strong communication skills and ability to work effectively with technical and business partners
Preferred Qualifications
- Experience in financial services, insurance, or wealth management Experience with LLM-based solutions and emerging AI technologies
- Familiarity with DevSecOps platforms (e.g., Harness)
