Senior AI Engineer - Embedded in Deal Teams

William Blair

Chicago (IL)

Hybrid

USD 150,000 - 170,000

Full time

8 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Employer-paid disability insurance
Life insurance
401(k)
Profit sharing
Paid time off

Job summary

William Blair is hiring a Senior AI Engineer to join the AI Innovation Function within the Investment Banking AI & Technology team. You’ll embed with deal teams to deliver impactful AI tools across data pipelines, ML models, LLM apps, and Salesforce integrations.

You’ll work on enterprise-grade AI features, rapid prototyping, and production-ready solutions, leveraging Azure, Databricks, and proprietary models to move bankers faster from origination to close.

Qualifications

  • 3+ years of software engineering with full-stack capability.
  • Experience building applications or agents with LLMs and prompt engineering.
  • Ability to design multi-agent ecosystems and orchestration patterns.
  • Strong ML fundamentals and data pipelines experience.
  • Familiarity with capital markets and investment banking workflows.

Responsibilities

  • Build AI-powered features and agents integrated into Salesforce workflows.
  • Develop LLM applications for banking use cases like automated analysis and deal status briefings.
  • Design data pipelines for feature engineering and real-time analytics using Databricks and Dagster.
  • Collaborate with deal teams to translate banker needs into working automation.
  • Write well-tested, production-grade code and contribute to engineering standards.

Tools

Databricks
Dagster
Salesforce API
Spark
Azure

Job description

William Blair is hiring a Senior AI Engineer to join the AI Innovation Function within the Investment Banking AI & Technology team. You’ll embed with deal teams to deliver impactful AI tools across data pipelines, ML models, LLM apps, and Salesforce integrations.

You’ll work on enterprise-grade AI features, rapid prototyping, and production-ready solutions, leveraging Azure, Databricks, and proprietary models to move bankers faster from origination to close.

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