The Workplace Investing AI Delivery Engineering Chapter team is seeking a Principal Machine Learning Engineer to design, implement and improve technical solutions for AI model deployment, data pipelines, hosting, and API access. We are looking for a motivated technologist with a deep passion for data and application design to help build AWS based AI solutions to help extract data from both databases and unstructured data sources and harness AI algorithms to solve different types of use cases. This role will be a great mix of peer mentorship, technical leadership, application development, API development, data pipeline design, and lots of hands-on work along with partnering with our data scientists and business.
The Expertise and Skills You BringDeep experience (7+ years) of designing, building, and automating complex and customized data pipelines with multiple ingress sources and multiple consumers including API driven user-facing web applications
Significant experience (7+ years) API Development building scalable microservices in Java/Spring Boot and/or Python; Angular experience is a plus.
Deep Data Engineering (7+ years) experience using AWS for data manipulation: establishing CI/CD pipelines to deploy code and services to AWS, familiarity with IAM roles and policies, using cloud-based data platforms like Snowflake or RDS for analytics data hosting, EC2 and or EKS compute set-up and work orchestration tools like Airflow. Superior SQL skills and experience performing deep data analysis on multiple database platforms
Solid (2+ years) experience with AWS Machine Learning Stack - SageMaker, Bedrock, Lambda, AWS Step Functions, EC2/EKS, IAM, API Gateway, S3, RDS. Experience with MLOps & GenAIOps - CI/CD pipelines, model hosting, monitoring, evaluation, observability, and automated deployment workflows.
Proven track record as a technical leader with peer coaching and strong communications and presentation skills working on collaborative teams to deliver high quality data solutions.
Hands on experience deploying machine learning models and ML Ops.
Bachelor’s Degree or equivalent experience
The team is an agile squad in one of the Artificial Intelligence Product Areas in Workplace Services. The goal of the squad is to find opportunities to automate manual and error prone processes using AI and Machine Learning techniques. Squads also work on using AI and Machine Learning for personalization use cases to help Fidelity customers. The squad intends to use cloud technologies and deploy solutions using all current software engineering principles. It’s a great chance to work on an agile team to help build innovative and high business value AI powered solutions to improve the lives of Fidelity’s customers.
Company OverviewAt Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer.
Accommodation LanguageFidelity will reasonably accommodate applicants with disabilities who need adjustments to complete the application or interview process. Please email us at [email protected] or call 800-835-5099, prompt 2, option 2 if you would like to request an accommodation.
Category:Information TechnologySkills Required
- Deep experience (7+ years) in data pipeline design and automation
- Significant experience (7+ years) in API development using Java/Spring Boot and/or Python
- Deep experience (7+ years) in AWS data engineering
- Solid experience (2+ years) with AWS Machine Learning Stack
- Proven track record as a technical leader
- Bachelor's Degree or equivalent experience
Fidelity Investments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.
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Strong & Reliable Incentives — Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
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Retirement Support — A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
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Parental & Family Support — Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.
Fidelity Investments Insights
What We Do
At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.
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