Director Applied AI / ML Engineer

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Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

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The Role

AltIQ 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.

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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.

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Preferred Qualifications

• 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.

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About AltIQ

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.

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The Team

We 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 transiti…