Principal, AI / ML Engineer

Fidelity Investments Inc.; Westlake (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Fidelity Investments Inc. is seeking a Principal AI/ML Engineer to build scalable, production-ready AI solutions for Fidelity Institutional.

You will develop, deploy, and monitor AI systems driving lead generation, product recommendations, and client engagement, collaborating with cross-functional teams to translate complex challenges into measurable business outcomes. The role emphasizes production-first design, API-driven architectures, cloud-native deployment, and governance with

Qualifications

• BS/MS in CS/Engineering/Data Science or related field with 6+ years of production AI/ML experience.
• Hands-on with LLMs, prompt and context engineering, RAG architectures, and agentic AI frameworks in production.
• Strong Python, API design, and cloud-native AI deployment experience.

Responsibilities

• Develop production AI/ML solutions using LLMs, RAG, and agentic AI frameworks.
• Build scalable data foundations, APIs, and cloud-based AI infrastructure.
• Ensure reliable, secure, and observable production systems (MLOps).
• Collaborate with business and technology teams to translate challenges into impactful solutions.
• Establish monitoring, governance, and MLOps practices for performance and scalability.

Skills

AI/ML engineering

Python

LLMs

API design

MLOps

Cloud/AWS

LangChain

Data pipelines

Education

Bachelor’s or Master’s degree in CS/Engineering/Data Science

Tools

AWS

Snowflake

dbt

Airflow

LangChain

LangGraph

Job description

Fidelity will not provide immigration sponsorship for this position.

Job Description:

The Role

We are seeking a Principal AI/ML Engineer to help grow our Fidelity Institutional (FI) business by building innovative, scalable AI solutions. In this role, you’ll develop and deploy production-ready AI systems that drive lead generation, intelligent product recommendations, coverage strategy optimization, and client engagement!

You will:

• Develop and implement production AI and machine learning solutions using large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks.

• Develop scalable data foundations, APIs, and cloud-based AI infrastructure.

• Build reliable, secure, and observable systems with a production-first demeanor.

• Partner with business and technology teams to translate complex challenges into impactful solutions.

• Establish monitoring, governance, and MLOps methods that ensure performance and scalability.

• Evaluate emerging technologies and apply them to deliver measurable

The Expertise and Skills You Bring

• Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, Data Science, or a related field.

• 6+ years of software or AI/ML engineering experience, including building and deploying AI solutions in production environments.

• Practical experience working with LLMs, prompt and context engineering, RAG architectures, and agentic AI frameworks.

• Advanced proficiency in Python and experience building clean, maintainable, well-tested production applications.

• Strong experience designing APIs and integrating AI capabilities with enterprise applications, data platforms, and business workflows.

• Experience deploying cloud-native AI solutions and applying 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.

• Ability to balance innovation with practicality, delivering scalable solutions that drive business outcomes.

Preferred Attributes

• Production-first attitude focused on reliability, scalability, maintainability, and user experience.

• Ability to assess technical decisions through the lens of business impact, operational complexity, and long-term sustainability.

• Proven success collaborating across technical and non-technical teams in fast-paced environments.

The Team

Our team supports a variety of complex applications serving a diverse set of businesses and customers. The database environments are extremely critical to our success and vitality, which requires outstanding technical skill and a collaborative outlook. You’ll work alongside experienced engineers, data scientists, and business partners in an environment that values innovation, learning, and delivering real business impact.

Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:

Category:

Information Technology

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.