Lead Data Scientist - AI Engineer

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Lead Data Scientist - AI Engineer in USA

William Blair
Full time
Email

USA
09/06/2026
Report

Chicago, IL

Responsibilities

Design and build the integration layer between Enterprise Claude, Salesforce CRM, and proprietary ML models for AI-powered banking workflows.
Develop AI agents and multi-step LLM applications for document generation, buyer analysis, process-letter drafting, and deal-status automation.
Set engineering standards covering architecture, code reviews, CI/CD pipelines, testing frameworks, deployment patterns, and documentation.
Work directly with deal teams and industry groups to identify automation opportunities and iterate on deployed tools using banker feedback.
Build and maintain Databricks and Dagster data pipelines for feature engineering, model training, and analytics.
Rapidly prototype solutions that translate banker pain points into working proofs of concept.
Evaluate and integrate Rogo.ai, Blueflame AI, and Fellow.ai through APIs within Salesforce.
Implement security and data-governance protocols for confidential deal information.
Operate production multi-agent ecosystems with monitoring, failure recovery, reliability practices, and scaling.

Requirements

5+ years of software engineering experience with a strong full-stack foundation and production experience serving demanding end users.
Hands-on experience building applications or agents with large language models, including prompt engineering, retrieval-augmented generation, multi-step orchestration, tool use, and evaluation frameworks.
Experience deploying and operating production multi-agent ecosystems, including reliability engineering, monitoring, failure recovery, and scaling.
Strong machine-learning fundamentals, including model training, evaluation, deployment, exploratory data analysis, and feature-pipeline development.
Experience writing tested, reviewed, documented, and maintainable production code.
Familiarity with capital markets and preferably investment banking, private equity, venture capital, or hedge funds.
Experience with cloud infrastructure, preferably Azure, and data platforms and orchestration tools such as Databricks, Spark, Dagster, or Airflow.
Preferred experience in forward deployed, solutions engineering, or embedded technical roles with ownership of business outcomes.
Preferred experience with Salesforce APIs, SOQL, CRM integration patterns, and production-grade interconnected multi-agent ecosystems.
Preferred experience building AI tools for financial professionals and contributing to engineering culture through mentoring or technical design leadership.

Benefits

Hybrid work arrangement, indicated by the #LI-HYBRID designation.
Base salary range of $186,000–$222,000, plus eligibility for a discretionary annual bonus and/or commission-based incentives.
Medical, dental, and vision coverage; employer-paid short- and long-term disability and life insurance; 401(k); profit sharing; and paid time off.
Maven family and fertility benefits and parental leave, including adoption, surrogacy, and foster placement.
Additional voluntary benefits.

Salary: $186k - $222k/yr

William Blair

William Blair is a trusted partner for clients seeking thoughtful, data‑driven investment solutions. Our collaborative approach blends deep market expertise with a commitment to personalized service, helping individuals and institutions achieve their long‑term financial goals. We pride ourselves ...

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