Principal AI Full-Stack Engineer

Fidelity

United States

On-site

USD 170,000 - 210,000

Full time

3 days ago
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Job summary

Fidelity is seeking a Principal Full Stack Engineer to build scalable AI capabilities for Fidelity Wealth. You will partner with business, product, architecture, data, and platform teams to turn Wealth priorities into secure, reliable solutions that help advisors work more effectively and improve customer experiences.

The role requires deep hands-on coding in modern languages, cloud experience, and a lead mindset to design, prototype, and deliver end-to-end solutions in a fast-paced, onsite work

Qualifications

  • Bachelor's degree or equivalent with 8+ years of software engineering experience.
  • Strong understanding of software architecture and design patterns for scalable, resilient systems.
  • Proven experience with at least one modern language (Python/Node.js/Java).
  • Hands-on experience with cloud platforms (AWS/Azure/Google Cloud).
  • Experience using GenAI tools such as GitHub Copilot, Gemini, or Claude.
  • Strong problem-solving skills, sound judgment, and a growth mindset.
  • Ability to collaborate effectively, embrace feedback, and deliver on commitments.

Responsibilities

  • Build scalable AI capabilities for Fidelity Wealth in collaboration with cross-functional teams.
  • Turn priorities into secure, reliable solutions and lead end-to-end delivery.

Skills

Strong technical judgment
Builder mindset
Curiosity & initiative
Modern programming languages
Test-first & quality engineering
Clear communication & mentoring

Education

Bachelor's degree or equivalent with 8+ years
Master's degree with 6+ years

Tools

Python
Node.js
Java
AWS
Azure
Google Cloud
GitHub Copilot
Gemini
Claude

Job description

Fidelity is seeking a Principal Full Stack Engineer to build scalable AI capabilities for Fidelity Wealth. You will partner with business, product, architecture, data, and platform teams to turn Wealth priorities into secure, reliable solutions that help advisors work more effectively and improve customer experiences.

The role requires deep hands-on coding in modern languages, cloud experience, and a lead mindset to design, prototype, and deliver end-to-end solutions in a fast-paced, onsite work

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