Principal, AI / ML Engineer

Fidelity • Westlake, TX

1d

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 that support lead generation, intelligent product recommendations, coverage strategy optimization, and client engagement.

The engineer will work with business and technology teams to translate complex challenges into practical solutions, and will help establish scalable data foundations, APIs, cloud-based AI infrastructure, monitoring, governance, and MLOps methods. The team supports complex applications for diverse businesses and customers and 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 by role and location and may evolve. This transition does not apply to fully remote roles. Fidelity will not provide immigration sponsorship for this position. Fidelity's regulated business may restrict hiring or association with 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.
• At least 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.
• 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

• Experience with AWS, Snowflake, dbt, Airflow, LangChain/LangGraph, or similar technologies.
• 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 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 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 business outcomes.

What This Job Offers

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