Senior AI/ML Engineer
Fidelity Investments is a privately held, Boston-headquartered financial services company providing investing, trading, retirement, wealth management, brokerage, workplace benefits, custody and clearing, and digital-asset services.
About Fidelity Investments
Fidelity serves individual investors, employers, wealth-management firms, institutions, innovators, and charitable donors through diversified financial-services businesses. Current offerings include brokerage and trading, mutual funds and exchange-traded products, retirement and workplace savings, financial planning and advice, wealth management, institutional custody and clearing, and crypto/digital-asset products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build real-time and batch data pipelines and production AI, ML, LLM, and retrieval systems. You will optimize AWS and Snowflake workflows, deploy and monitor containerized services, develop tested Python code, support CI/CD, and maintain operational readiness through runbooks and incident response.
Requirements
- Production Python, testing, and CI/CD experience
- SQL and Snowflake experience
- AWS experience, including EC2, S3, Lambda, Step Functions, SageMaker, IAM, and RDS
- Spark, Airflow, Kafka, or Kinesis experience
- Docker and Kubernetes experience
- Infrastructure as Code experience
- Vector database and retrieval-augmented generation experience
- LLM framework and agent orchestration familiarity
- Datadog or CloudWatch familiarity
- Distributed-systems debugging experience
Responsibilities
- Design and build real-time and batch data pipelines
- Build resilient data connectors, chunking and embedding workflows, and parallel processing frameworks
- Optimize ETL and ELT workflows in AWS and Snowflake
- Deploy, scale, and operate AI, ML, and LLM services
- Implement monitoring and observability for production AI systems
- Translate prototypes into production-grade systems
- Evaluate and adopt production-ready AI and ML frameworks
- Develop tested and maintainable Python code
- Work with Git-based workflows and CI/CD pipelines
- Contribute runbooks, incident response, and production support
Benefits
- Fully paid parental leave
- On-site health and wellness centers