Job Description:
Position Description:
Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives. Performs deep data analysis on multiple database platforms, using SQL. Supports customer personalization and optimization efforts according to Artificial Intelligence (AI) and Machine Learning (ML) techniques. Designs, implements, and improves technical solutions for AI model deployment, data pipelines, hosting, and Application Programming Interface (API) access. Deploys code and services to Amazon Web Services (AWS) by establishing Continuous Integration/Continuous Deployment (CI/CD) pipelines. Develops APIs and front-end applications, using Java, Spring Boot, Python, or Angular. Extracts and manipulates data pulled from databases or unstructured data sources, by building AWS-based AI solutions.
Primary Responsibilities:
Builds sophisticated analytics and ML platforms and tools to enable innovative AI solutions that enhance data accessibility and intelligent automation.
Designs, builds, and automates complex and customized data pipelines with multiple ingress sources and consumers.
Automates manual and error prone processes using AI and ML techniques.
Deploys ML models and operations.
Deploys solutions using software engineering principles.
Deploys solutions using Cloud technologies.
Builds innovative and high business value AI powered solutions to improve customer experiences.
Participates in architecture design discussions and implements application-level architecture.
Develops comprehensive documentation for multiple applications or subsystems.
Establishes full project life cycle plans for complex projects across multiple platforms.
Advises on risk assessment and risk management strategies for projects.
Plans and coordinates project schedules and assignments for multiple projects.
Provides technology solutions to daily issues and technical evaluation estimates on technology
initiatives.
Advises senior management on technical strategy.
Mentors junior team members.
Develops original and creative technical solutions to on-going development efforts.
Education and Experience:
Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, Data Science, Analytics, Mathematical Finance, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal AI/ML Engineer (or closely related occupation) performing requirement analysis, design, and development of Cloud-native AI and ML platforms, using information retrieval systems, vector structured and unstructured databases, and production model serving infrastructure in a financial services environment.
Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, Data Science, Analytics, Mathematical Finance, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal AI/ML Engineer (or closely related occupation) performing requirement analysis, design, and development of Cloud-native AI and ML platforms, using information retrieval systems, vector structured and unstructured databases, and production model serving infrastructure in a financial services environment.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (“DE”) developing retrieval-augmented generation (RAG) systems using Python, FastAPI, Large Language Models (Claude, Bedrock, or Azure OpenAI), vector databases, and AWS OpenSearch; building asynchronous REST APIs with sub-500ms response times using asyncio and Kubernetes; creating interactive user interfaces (UIs) for experimenting with chunking strategies and search algorithms, using Streamlit and Python; and performing root cause analysis and debugging, and logging frameworks to mitigate memory leaks and production issues, using Python profilers.
DE architecting AI and ML infrastructure using AWS SageMaker, Lambda, Docker, or Kubernetes; developing REST APIs for Vision-Language Models (VLMs) using FastAPI, and supporting Base64 image-to-tensor transformations; implementing multimodal inference endpoints using SageMaker processing image-text pairs with similarity scoring; and establishing cross-Virtual Private Cloud (VPC) connections using PrivateLink for multi-business unit access.
DE building feature store architectures for real-time model serving using AWS SageMaker Feature Store, S3, or Athena; implementing parallel processing frameworks to achieve latency reduction, using Python multiprocessing and concurrent futures; developing data Extract-Transform-Load (ETL) pipelines processing millions of records using AWS Glue, Step Functions, or PySpark; and deploying ML models using SageMaker endpoints for real-time inference and SageMaker Processing Jobs for batch inference.
DE establishing secure AWS infrastructures using Identity and Access Management (IAM) roles, Lambda functions, or VPC security groups; implementing Natural Language Processing (NLP) model deployment pipelines for text classification and sentiment analysis, using Hugging Face Transformers, PyTorch, or SageMaker; developing automated data validation and anomaly detection scripts, using Python, pandas, or scikit-learn across multi-year datasets; and optimizing SQL queries and model scoring pipelines, using PostgreSQL and AWS Athena.
Salary: $149,300.00 - $166,000.00/year.
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Certifications:
Category:
Information TechnologyMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position.
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.
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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.
Hybrid work schedule
Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite all business days of every other week in a Fidelity office.
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.