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Senior Associate - Sr. Full Stack AI Engineer

New York Life

$121,000 - $172,500
Sep 20, 2025
New York, NY, US
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New York Life is seeking an experienced Senior Full Stack AI Engineer to lead the design, development, and deployment of enterprise-grade AI-powered applications, translating complex business needs into technical solutions and creating intelligent, autonomous systems.

Requirements

  • Strong programming skills in Python, JavaScript/TypeScript, and modern frameworks (React, Angular, Vue, Django, Flask).
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and DevOps practices.
  • Expertise with version control (Git), CI/CD pipelines, Docker, and Kubernetes.
  • Expertise in Generative AI, Agentic AI, and multi-agent orchestration.
  • Practical experience implementing MCP standards and building interoperable AI systems.
  • Experience with RAG architectures and vector databases (Pinecone, Weaviate, ChromaDB).
  • Knowledge of real-time AI systems and streaming inference (Kafka, Redis Streams).

Responsibilities

  • Architect and deliver end-to-end AI-powered applications integrating ML models, APIs, and user interfaces.
  • Lead development initiatives from concept through successful production deployment.
  • Build scalable, high-performance systems leveraging cloud-native platforms (AWS, Azure, GCP).
  • Research, evaluate, and integrate emerging AI frameworks and protocols into enterprise use cases.
  • Design and implement MCP-compliant systems for model interoperability and orchestration.
  • Develop autonomous agent workflows for complex multi-step tasks and decision-making.
  • Implement agentic data analysis systems that autonomously discover insights.

Other

  • Master’s degree in Computer Science, Machine Learning, Data Science, or related field.
  • 6+ years of professional software engineering experience, with 5+ years focused on AI/ML systems.
  • 3+ years of direct experience in AI/ML application development and deployment.
  • Proven track record of delivering production-grade AI systems in enterprise environments.
  • Strong communication and leadership skills with experience mentoring or leading technical teams.