Principal AI / ML Engineer

Fidelity Financial Services

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Westlake, TX
Posted
3 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $223k
$129k $290k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $198,000–$248,787.

Based on 240 similar postings.

Employer

About Fidelity Financial Services

Fidelity Investments is one of the largest financial services companies in the world, offering brokerage services, mutual funds, retirement planning, wealth management, and life insurance to individuals and institutions. Industry: Financial Services & Investment Management

Fidelity Financial Services currently has 163 open roles on FindRole.

Listed pay typically runs $107,000–$216,000 across 44 roles with salary data.

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At a glance

TL;DR · Principal AI / ML Engineer

JOB TITLE: Principal, AI / ML Engineer The Principal, AI / ML Engineer joins the team supporting complex applications for the Fidelity Institutional business. In this role, you will develop and deploy production-ready AI systems to drive lead generation, intelligent product recommendations, coverage strategy optimization, and client engagement. You will build scalable data foundations, APIs, and cloud-based infrastructure while implementing solutions using large language models, retrieval-augmented generation, and agentic AI frameworks. Key responsibilities include establishing monitoring, governance, and MLOps methods to ensure performance and scalability. You must demonstrate proficiency in Python, AWS, Snowflake, dbt, Airflow, and LangChain or LangGraph. The position requires translating complex challenges into impactful solutions by integrating AI capabilities with enterprise applications, data platforms, and business workflows within a production-first environment.

What you'll do

  • Develop and implement production AI solutions using LLMs, RAG, and agentic AI frameworks.
  • Build scalable data foundations, APIs, and cloud-based AI infrastructure.
  • Create reliable, secure, and observable systems with a production-first approach.
  • Establish monitoring, governance, and MLOps methods to ensure performance and scalability.
  • Translate complex business challenges into impactful technical solutions and production applications.
  • Evaluate and apply emerging technologies to deliver measurable business outcomes.
  • Integrate AI capabilities with enterprise applications, data platforms, and business workflows.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.
  • 6+ years of software or AI/ML engineering experience, including building and deploying AI solutions in production environments.
  • Practical experience with LLMs, prompt and context engineering, RAG architectures, and agentic AI frameworks.
  • Advanced proficiency in Python for building clean, maintainable, and well-tested production applications.
  • Experience designing APIs and integrating AI capabilities with enterprise applications, data platforms, and business workflows.
  • Experience deploying cloud-native AI solutions using monitoring, observability, governance, and MLOps practices.
  • Experience with AWS, Snowflake, dbt, Airflow, LangChain/LangGraph, or similar technologies.
  • Strong systems-thinking, problem-solving, and communication skills.

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