Principal, AI / ML Engineer

Fidelity; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Fidelity seeks a Principal AI/ML Engineer to grow Fidelity Institutional by building scalable AI solutions and deploying production-ready systems for lead generation, intelligent product recommendations, and client engagement.

You will design LLM/RAG architectures, develop data foundations, APIs, and cloud AI infrastructure, and partner with business teams to deliver measurable outcomes with strong monitoring and MLOps.

Qualifications

• Bachelor's or Master's degree in CS/Engineering/Data Science or related field.
• 6+ years of software or AI/ML engineering experience.
• Hands-on experience deploying AI solutions in production.
• Proficiency in Python and building maintainable production apps.
• Experience designing APIs and integrating AI into enterprise workflows.
• Experience with cloud-native AI solutions and MLOps practices.

Responsibilities

• Develop production AI and ML solutions using LLMs, RAG, and agentic AI frameworks.
• Build scalable data foundations, APIs, and cloud-based AI infrastructure.
• Create reliable, secure, observable systems with a production-first mindset.
• Collaborate with business and technology teams to translate challenges into solutions.
• Establish monitoring, governance, and MLOps processes for performance and scale.
• Evaluate emerging technologies and apply them to deliver measurable business impact.

Skills

AI/ML production

Python

API design

Cloud deployment

LLMs & RAG

LangChain/LangGraph

MLOps

Communication

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

AWS

Snowflake

dbt

Airflow

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.