Senior Associate - Full-Stack AI Engineer

New York Life•New York, NY
•$124,000 - $177,000•Hybrid

About The Position

As a Senior Associate in investment technology within New York Life’s Technology, Data, AI and Ventures organization, this role supports the investment business by building and maintaining applications and designing, developing, and maintaining data flows between trading, accounting, and data warehouse platforms. The role uses technologies such as Generative AI to increase productivity, streamline processes, and create seamless experiences for investment business groups. The engineer designs and builds scalable, high-performance applications, emphasizing reliability, maintainability, security, and user experience. They work with product, architecture, engineering, and business partners to turn requirements into enterprise-quality software; conduct proofs of concept and prototypes; and develop reusable components, frameworks, and modern capabilities. The role also involves staying current with Generative AI, LLMs, cloud technologies, and software engineering practices; communicating technical concepts to varied audiences; and working independently and collaboratively with global and distributed teams, including offshore partners.

Requirements

  • 8–12 years of hands-on software development experience.
  • Solid understanding of the full Software Development Lifecycle (SDLC).
  • Proficiency with Agile and Waterfall methodologies.
  • Flexible mindset and readiness to work across different platforms and projects.
  • Strategic thinking and understanding of business needs and regulatory pressures.
  • Up-to-date knowledge of architecture trends and systems best practices.
  • Excellent written and verbal communication skills, with ability to work across organizational levels and teams.
  • Working knowledge of GIT, Team Foundation Server (TFS), JIRA, and CI/CD pipelining.
  • Python, C#, .NET Core, Angular, and TypeScript.
  • AWS Bedrock, Claude, OpenAI, and MCP.
  • AWS services or Azure/GCP.
  • Oracle, SQL Server, and PostgreSQL.
  • Enterprise integrations and API development.
  • Jenkins/Harness CI/CD automation.

Nice To Haves

  • Financial Services / Investment Technology domain expertise.

Responsibilities

  • Design, develop, and build scalable, high-performance applications that meet business requirements, with attention to reliability, maintainability, security, and user experience.
  • Collaborate with product, architecture, engineering, and business partners to translate requirements into enterprise-quality software solutions.
  • Conduct proofs of concept and develop prototypes to evaluate technologies, validate solutions, and address business and technical challenges.
  • Design and develop reusable components, frameworks, and modern capabilities for use across applications and teams.
  • Stay current with Generative AI, LLMs, cloud technologies, and software engineering practices, and identify opportunities to improve efficiency, automation, and business outcomes.
  • Communicate complex technical concepts to technical and non-technical stakeholders and collaborate across global and distributed teams, including offshore partners.
  • Work independently and collaboratively, taking ownership and applying prioritization and problem-solving skills to deliver high-quality results in a fast-paced environment.
  • Build and maintain applications supporting the investment business and design, develop, and maintain data flows between trading, accounting, and data warehouse platforms.
  • Leverage Generative AI to increase productivity, streamline processes, and improve experiences for investment business groups.

Benefits

  • Full package of employee benefits.
  • Leave programs.
  • Adoption assistance.
  • Student loan repayment programs.
  • Annual discretionary bonus; employees may also be eligible to participate in an incentive program.
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