Lead AI/ML Engineer — Production-Grade Solutions

Fidelity Investments Inc.; Westlake (TX); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

AI/ML engineering

Python

LLMs

API design

MLOps

Cloud/AWS

LangChain

Data pipelines

Formation

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

Outils

AWS

Snowflake

dbt

Airflow

LangChain

LangGraph

Description du poste

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