Lead Embedded AI Engineer for Banking Deals

William Blair

New York (NY)

On-site

USD 186,000 - 222,000

Full time

14 days+
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Benefits offered by this job

Medical, dental and vision coverage
Employer-paid short & long-term disab.
Life insurance
401(k)
Profit sharing
Paid time off
Maven family & fertility benefit
Parental leave

Job summary

William Blair seeks a Lead AI Engineer to join the AI Innovation Function within the Investment Banking AI & Technology team. You will be embedded with deal teams, shaping workflows and delivering AI-powered tooling with end-to-end accountability.

You will establish engineering standards, manage full stack from data pipelines to LLM orchestration, and collaborate across enterprise systems like Salesforce. Qualified candidates bring 5+ years of full-stack experience and a track record of

Qualifications

  • Experience building production AI apps with LLMs and agents.
  • Proficient in end-to-end software delivery and reliability.
  • Familiar with capital markets and investment banking context.
  • Strong data engineering and feature pipelines.
  • Experience with enterprise CRM integrations.

Responsibilities

  • Design and build the integration layer between Claude, Salesforce CRM, and ML models.
  • Develop AI agents and multi-step LLM apps for high-value use cases.
  • Set engineering standards for CI/CD, testing, and docs.
  • Collaborate with deal teams to map workflows and identify automation.
  • Build data pipelines for feature engineering and model training using Databricks and Dagster.
  • Translate bankers' pain points into rapid proofs of concept.
  • Evaluate and integrate third-party AI tools via APIs with Salesforce.
  • Implement data security and governance for confidential deal data.

Skills

Full-stack eng
LLM agents
Multi-agent orchestration
ML deployment
Azure cloud
Databricks/Spark
Dagster/Airflow

Tools

Databricks
Dagster
Airflow
Salesforce APIs
SOQL

Job description

William Blair seeks a Lead AI Engineer to join the AI Innovation Function within the Investment Banking AI & Technology team. You will be embedded with deal teams, shaping workflows and delivering AI-powered tooling with end-to-end accountability.

You will establish engineering standards, manage full stack from data pipelines to LLM orchestration, and collaborate across enterprise systems like Salesforce. Qualified candidates bring 5+ years of full-stack experience and a track record of

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