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Job Description

Build secure, scalable AI capabilities end-to-end to improve the advisor and client experience across Fidelity Wealth.

Responsibilities

  • Design, build, and deliver AI-powered solutions from concept through production
  • Partner with business stakeholders, product teams, architects, data scientists, and engineers to identify high-value AI opportunities
  • Develop enterprise-grade AI capabilities focused on important business outcomes
  • Translate business needs into practical AI applications through cross-functional collaboration
  • Contribute to the evolution of modern AI platforms and capabilities

Requirements

  • Bachelor’s degree or equivalent experience, with 3+ years of software engineering experience
  • Proven track record designing and delivering scalable, production-grade software and distributed systems
  • Experience applying LLMs and Generative AI technologies to address real business challenges
  • Full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js
  • Hands-on experience deploying and scaling applications in cloud environments including AWS, Azure, or Google Cloud
  • Experience with platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures
  • Strong understanding of software architecture, design patterns, and security, along with reliability principles for enterprise-scale applications
  • Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions
  • Ability to collaborate effectively across engineering, data, product, and business teams while driving initiatives from concept to production

Technologies

  • Python, TypeScript, Node.js
  • APIs, React, Next.js
  • LLMs, Generative AI
  • AWS, Azure, Google Cloud
  • Containers, Kubernetes
  • Infrastructure-as-Code, cloud-native architectures

Example Use Cases

  • Automated meeting preparation and research
  • Intelligent call summarization and insight generation
  • Automated follow-up and workflow orchestration
  • Knowledge retrieval and recommendation systems
  • AI-assisted decision support and productivity tools
  • Workflow automation using enterprise data sources and communication channels

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