Senior AI/ML Engineer

Senior Engineer

We are looking for a Senior Engineer who operates at the intersection of data and AI/ML/LLM Engineering. You will work on the end-to-end lifecycle from building robust data pipelines that feed AI systems, to deploying and operating AI/LLM and retrieval systems at scale. This is a hands-on engineering role, not data science.

• Real-time and batch data pipeline engineering on AWS and Snowflake
• Production-grade Python, testing, and CI/CD discipline
• AWS and Snowflake-based data and deployment patterns
• Productionizing AI/ML/LLM systems (serving, agents, retrieval pipelines)
• Observability, monitoring, and operational reliability of AI-powered systems

The Skills and Expertise You Bring

• Primarily hands-on, with the ability to raise technical standards through direct execution and engineering excellence.
• Design and build real-time and batch data pipelines: ingestion, transformation, streaming, and delivery into analytics and AI/ML systems
• Build resilient data connectors, chunking/embedding workflows, and parallel processing frameworks with data integrity guarantees
• Optimize ETL/ELT workflows in AWS and Snowflake including indexing, partitioning and efficient resource utilization
• Deploy, scale, and operate AI/ML/LLM services including model serving, agent orchestration, and retrieval pipelines
• Implement monitoring and observability for production AI systems for retrieval quality metrics, latency tracking, drift detection, and alerting
• Translate prototypes into production-grade systems that are pragmatic, hardware-efficient, and simple to operate
• Evaluate open-source AI/ML frameworks critically; adopt what's production-ready, replace bloat with lean, maintainable implementations
• Develop production-grade Python code with strong testing, clean interfaces, and maintainability practices
• Work within Git-based workflows and CI/CD pipelines to support reliable promotion across dev, UAT, and production environments
• Contribute to operational readiness through runbooks, incident response, and production support
• Strong Python skills for production data and AI/ML systems, including rigorous testing and maintainable code
• Strong SQL skills and experience with Snowflake for analytics and data pipeline workloads
• Experience with AWS services (EC2, S3, Lambda, Step Functions, SageMaker, IAM, RDS)
• Experience building and operating data pipelines using Spark, Airflow, or streaming frameworks (Kafka, Kinesis)
• Experience deploying and monitoring AI/ML/LLM services in containerized environments (Docker, Kubernetes)
• Experience with CI/CD and Infrastructure as Code (Terraform, CloudFormation, or similar)
• Comfort debugging complex distributed systems with evidence-driven approaches
• Experience with vector databases and retrieval-augmented generation (RAG) patterns
• Familiarity with LLM frameworks (LangChain, LlamaIndex, or similar) and agent orchestration
• Experience with observability tooling such as Datadog or CloudWatch
• Familiarity with event-driven architectures and real-time streaming systems
• Experience designing developer-facing APIs, SDKs, or CLI tools
• Understanding of agentic AI patterns and multi-step reasoning workflows

The Team

Our advanced analytics/insights team owns the data engineering, advanced analytics/insights, and production AI/ML/LLM Engineering for the HR technologies. Our work spans real-time and batch data infrastructure on AWS and Snowflake, analytics platforms, and the engineering backbone that makes AI/ML/LLM systems production-real. We are engineers who build with craft, ship with confidence, and take ownership of what runs.

Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Information Technology

Please be advised that Fidelity's 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.

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

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 View email address on click.appcast.io, or by calling View phone number on click.appcast.io, 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.