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**Senior AI/ML Engineer - Fidelity Risk Group** Operationalize AI/ML models from development to reliable, production-ready deployment. Build repeatable deployment patterns, implement model monitoring, and improve handoff processes between data scientists and production. Key responsibilities include: driving model deployment, monitoring, and support; ensuring production-grade Python, testing, and CI/CD discipline; and coordinating with data scientists to guarantee production readiness. Required skills: strong Python, SQL, AWS/SageMaker, model monitoring, and CI/CD experience.
- Compensation
- $97,000 – $185,000 USD
- City
- Not specified
- Country
- Not specified
Currency: $ (USD)
Full Job Description
Job Description:
Note: Fidelity is not providing immigration sponsorship for this position.
Job Title Senior AI/ML Engineer, Fidelity Risk Group
Note: Fidelity will not provide immigration sponsorship for this position.
The Role
The Fidelity Risk Group (FRG) is seeking a Senior AI/ML Engineer to help bring machine learning models from development into reliable, production-ready deployment. This is a hands-on engineering role focused on operationalizing AI/ML systems by building repeatable deployment patterns, implementing model monitoring, and improving the processes that move trained models from data scientists into production.
This role works most closely with data scientists and serves as the engineering partner responsible for turning trained model artifacts into stable, observable, and supportable production systems. The ideal candidate enjoys building production-quality ML systems, improving reliability, and creating the technical patterns and processes that make model deployment faster, safer, and easier to scale over time.
The role has a strong emphasis on:
Model monitoring and drift detection
Deployment and production readiness
Repeatable handoff processes from data science to production
Production-grade Python, testing, and CI/CD discipline
AWS/SageMaker-based ML deployment patterns
This is a Senior role and is expected to be primarily hands-on, with the ability to raise technical standards through direct execution and practical process improvement.
The Expertise and Skills You Bring
What Youll Do
Partner with data scientists early in the model development lifecycle to ensure production readiness, including feature source-ability and ground-truth capture for monitoring.
Build and mature the process for operationalizing machine learning models in production so deployments are repeatable, auditable, and fast.
Take trained model artifacts through packaging and deployment using repeatable AWS and SageMaker patterns.
Design and implement automated monitoring for production models, including drift detection, alerting, and model health evaluation.
Tune monitoring workflows to reduce false positives and ensure alerts are meaningful, actionable, and operationally useful.
Create reusable deployment and observability patterns that can scale across multiple AI/ML projects.
Develop production-grade Python code with strong testing and maintainability practices.
Work within Git-based development workflows and CI/CD pipelines to support reliable model promotion and release management.
Support a mix of batch and real-time model deployment patterns based on business and technical needs.
Contribute to operational readiness through lightweight support participation, runbooks, and incident documentation.
Minimum Qualifications
Education & Experience:
Bachelors degree in Computer Science, Engineering, Information Technology, Information Systems, Data Science, Analytics, Mathematics, Statistics, or a closely related field and four (4) years of experience as an AI/ML Engineer, Machine Learning Engineer, MLOps Engineer, Software Engineer, or a closely related occupation.
Or, alternatively, Masters degree in Computer Science, Engineering, Information Technology, Information Systems, Data Science, Analytics, Mathematics, Statistics, or a closely related field and two (2) years of experience as an AI/ML Engineer, Machine Learning Engineer, MLOps Engineer, Software Engineer, or a closely related occupation.
Technical Expertise:
Strong Python skills for production ML systems, including experience writing tests and maintainable code
Strong SQL skills, including the ability to work comfortably with production-facing datasets
Experience with Snowflake or similar cloud data platforms
Experience with model monitoring, drift detection, and statistical approaches to monitoring
Experience working in AWS, with SageMaker strongly preferred
Experience using Git/source control and CI/CD workflows for production systems
Comfort working in Unix/Linux command-line environments
Nice to Have
Experience with Docker or other containerization technologies
Familiarity with model registry, artifact versioning, and promotion workflows
Experience with experiment tracking tools
Experience with observability tooling such as Datadog, OpenTelemetry, CloudWatch, Grafana, or similar platforms
Familiarity with A/B testing, champion/challenger patterns, or controlled rollout approaches for ML systems
Experience with orchestration or workflow automation tools
Experience with GenAI or LLM systems is a plus, but not required
The Team
Our data science team is a small, highly capable group driven by a relentless commitment to advancing Fidelitys mission through insight, innovation, and measurable impact. We combine deep technical expertise with a culture of research & learning, creativity, and collaboration to deliver AI/ML products at scale that solve complex business problems across FRG.
As part of Fidelity, we contribute to an organization that values integrity, trust, innovation, and the power of our people to deliver exceptional experiences for customers.
The base salary range for this position is $97,000-185,000 USD per year.Placement in the range will vary based on job responsibilities and scope, geographic location, candidates relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelitys 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.
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Benefits that balance life and work
From our fully paid parent leave to our on-site health and wellness centers, our benefits support the belief that more balance you have, the better you can achieve your goals.
Company overview
Company overview
At 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 associates for their unique perspectives and experience.
Reasonable accommodations
Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation contact the HR Accommodation Team by sending an email to accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 3.
Equal opportunity employer
Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop, and retain a diverse workforce is to build an enduring culture of inclusion and belonging.
Applicant screening
At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.
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