Principal, AI / ML Engineer

Fidelity Investments • Westlake, TX

5d

About The Position

Fidelity is seeking a Principal AI/ML Engineer to help grow its Fidelity Institutional business by building innovative, scalable AI solutions. The role involves developing and deploying production-ready AI systems for lead generation, intelligent product recommendations, coverage strategy optimization, and client engagement.

The engineer will build data foundations, APIs, and cloud-based AI infrastructure, and establish monitoring, governance, and MLOps practices to support reliable, secure, observable, and scalable production systems. The position collaborates with business and technology teams to turn complex challenges into impactful solutions and evaluates emerging technologies for measurable outcomes.

The team supports complex applications for diverse businesses and customers. The role works alongside engineers, data scientists, and business partners in an environment focused on innovation, learning, and business impact. Fidelity is transitioning to a full-time onsite working model through a phased regional and role-based rollout; current onsite requirements vary, and expectations may evolve. This transition does not apply to fully remote roles. Fidelity will not provide immigration sponsorship for this position. Hiring may be restricted by applicable laws and regulations for individuals with certain criminal histories.

Requirements

• 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 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 and deliver scalable solutions that drive business outcomes.

Nice To Haves

• 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.

Responsibilities

• Develop and implement production AI and machine learning solutions using LLMs, 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 approach.
• Partner with business and technology teams to translate complex challenges into impactful solutions.
• Establish monitoring, governance, and MLOps methods to ensure performance and scalability.
• Evaluate emerging technologies and apply them to deliver measurable outcomes.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal