Note: Fidelity will not provide immigration sponsorship for this position.
The RoleAltIQ is seeking an Applied AI / ML Engineer to help build the intelligence layer of our alternative investment platform.
This role will focus on redefining complex financial documents and datasets into structured, searchable, and actionable information. You will build and implement solutions that parse documents, generate embeddings, drive similarity-based search, and enable retrieval of information across a large corpus of investment-related content, including private placement memoranda (PPMs), prospectuses, deal registration documents, performance reports, investor presentations, and other alternative investment materials.
Collaborating directly with Data Engineering and Product teams, you will help build scalable AI-powered capabilities. These capabilities enable advanced search, document intelligence, knowledge retrieval, and analytics across both structured and unstructured datasets.
This is a hands-on engineering role for someone who enjoys building production-grade AI systems and applying modern machine learning techniques to tackle real business problems.
Primary Responsibilities- Build and develop document parsing and information extraction solutions for intricate financial paperwork.
- Build and maintain embedding pipelines that convert unstructured content into searchable knowledge assets.
- Design, develop, and optimize semantic search and vector retrieval capabilities.
- Develop Retrieval-Augmented Generation (RAG) solutions that combine large language models with proprietary investment data.
- Work in close coordination with Data Engineers to integrate AI workflows into enterprise-scale data pipelines.
- Build APIs and services that expose AI-powered capabilities to internal and external applications.
- Develop and maintain user documentation, architecture diagrams, and operational procedures.
- Collaborate with Product and Business teams to translate user needs into intelligent platform capabilities.
- Provide technical recommendations regarding AI architecture, model selection, and infrastructure requirements.
- Mentor junior engineers and contribute to engineering guidelines.
- Experience with Pinecone, Weaviate, Milvus, pgvector, Elasticsearch, or similar technologies.
- Experience with LangChain, LlamaIndex, Hugging Face, or related AI frameworks.
- Experience building enterprise search, knowledge management, or document intelligence platforms.
- Experience with OCR and document processing technologies.
- Knowledge of MLOps and machine learning deployment patterns.
- Experience working with financial services, investment data, or alternative investments.
- Familiarity with private equity, venture capital, private credit, hedge funds, or real estate investment products.
AltIQ is building a next-generation intelligence platform for alternative investments. Our mission is to transform fragmented and document-heavy investment information into structured, searchable, and actionable insights. By combining advanced data engineering, artificial intelligence, and domain expertise, we enable investors to better discover, evaluate, and analyze alternative investment opportunities.
The TeamWe are Fidelity Labs, Fidelity Investments’ in-house fintech incubator with a mission to build new businesses to drive growth for Fidelity. We seek to shape the future of our industry by building new products and services to improve the lives of the diverse set of customers, businesses and financial institutions we serve.
Fidelity Labs is a dynamic workplace that combines the best parts of startup life—building from scratch, adapting quickly, and moon-shot ambition—with the scale and stability of an industry leader. We provide a safe space for startup teams to explore new business ideas, quickly test them with customers, and scale the most promising concepts within an existing business unit, or as a new venture.
This opportunity is brought to you by Fidelity Labs. Learn more at labs.fidelity.com.
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.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s 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 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.
Certifications:Category:Information TechnologySkills Required
- Build and develop document parsing and information extraction solutions for complex financial documents
- Build and maintain embedding pipelines converting unstructured content into searchable knowledge assets
- Design, develop, and optimize semantic search and vector retrieval capabilities
- Develop Retrieval-Augmented Generation (RAG) solutions combining large language models with proprietary data
- Integrate AI workflows into enterprise-scale data pipelines in coordination with Data Engineering
- Build APIs and services that expose AI-powered capabilities to internal and external applications
- Develop and maintain user documentation, architecture diagrams, and operational procedures
- Provide technical recommendations on AI architecture, model selection, and infrastructure requirements
- Mentor junior engineers and contribute to engineering guidelines
- Experience with Pinecone, Weaviate, Milvus, pgvector, or Elasticsearch
- Experience with LangChain, LlamaIndex, Hugging Face, or related AI frameworks
- Experience building enterprise search, knowledge management, or document intelligence platforms
- Experience with OCR and document processing technologies
- Knowledge of MLOps and machine learning deployment patterns
- Experience working with financial services, investment data, or alternative investments
- Familiarity with private equity, venture capital, private credit, hedge funds, or real estate investment products
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.









