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William Blair

Investment banking, research, brokerage, asset management

Lead AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeChicago, IL, USAIn-person

About the Job

Requirements

  • At least 5 years of software engineering experience, with a strong full-stack foundation and production experience building applications for demanding end users.
  • Hands-on experience building applications or agents using large language models, including prompt engineering, retrieval-augmented generation, multi-step orchestration, tool use, and evaluation frameworks.
  • Experience deploying and operating multi-agent ecosystems in production, including reliability engineering, monitoring, failure recovery, and scaling agent infrastructure for enterprise workloads.
  • Strong machine learning fundamentals, including the ability to train, evaluate, and deploy models, perform exploratory data analysis, and build feature pipelines.
  • Ability to write tested, reviewed, well-documented code and build maintainable systems.
  • Familiarity with capital markets.
  • Experience with cloud infrastructure, data platforms, and orchestration tools; Azure is preferred, and examples include Databricks, Spark, Dagster, and Airflow.
  • Ability to measure success by business impact delivered rather than features shipped.

Responsibilities

  • Design and build the integration layer between Enterprise Claude, Salesforce CRM, and proprietary machine learning models to create the orchestration backbone for AI-powered banking workflows.
  • Develop AI agents and multi-step large language model applications for use cases including CIP first-draft generation, buyer landscape analysis, intelligent process letter drafting, and deal status automation.
  • Set engineering standards for the Innovation Team, including code review practices, continuous integration and continuous delivery pipelines, testing frameworks, and documentation norms.
  • Work directly with deal teams and industry or sector groups to understand workflows, identify automation opportunities, and iterate on deployed tools based on banker feedback.
  • Build and maintain data pipelines using Databricks and Dagster for feature engineering, model training, and analytics that support AI capabilities.
  • Perform rapid analysis and prototyping, translating bankers' pain points into working proofs of concept within days.
  • Evaluate and integrate point solutions, including Rogo.ai, Blueflame AI, and Fellow.ai, via application programming interfaces, ensuring clean data flows and consistent user experiences within Salesforce.
  • Implement security and data governance protocols appropriate for confidential deal information.

Desired Qualifications

  • Experience in a Forward Deployed Engineer, solutions engineer, or embedded technical role, owning outcomes alongside business stakeholders.
  • Prior work with Salesforce application programming interfaces, Salesforce Object Query Language, or customer relationship management integration patterns.
  • Experience architecting production-grade interconnected multi-agent ecosystems, including agent coordination patterns, shared tooling layers, and communication protocols across autonomous components.
  • Experience building AI tools for financial professionals, including document generation, financial analysis automation, or deal workflow tooling.
  • Experience in or adjacent to investment banking, private equity, venture capital, or hedge funds.
  • Contributions to engineering culture through mentoring, establishing best practices, or leading technical design reviews in a small-team environment.

About the Company

William Blair

Investment banking, research, brokerage, asset management

William Blair is a privately held, employee-owned financial services firm that offers investment banking, equity research, brokerage, asset management, and private capital services. It combines advisory, research, trading, asset management, and private capital solutions to help clients raise, invest, and manage capital. Being privately held and employee-owned differentiates it from many competitors and supports a client-focused, multi-disciplinary approach under one firm. Its goal is to help clients grow and protect their capital by providing comprehensive financial services and access to private capital when needed.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$754.4M
Headquarters
Berlin, Germany
Founded
1935

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