Senior AI Engineer — Embedded Banking AI & LLMs

William Blair; New York, Northern (NY, KY); Hybrid; USD 157,000 - 187,000; Full time

Job summary

William Blair seeks a Senior AI Engineer to join an AI Innovation Function embedded with deal teams and industry groups. You will build AI-driven features that integrate into Salesforce workflows used by bankers, delivering tools that accelerate deal origination, execution, and close.

The role spans data pipelines, ML models, and LLM-powered applications with a bias toward rapid shipping, learning from user feedback, and iterating. Collaboration with deal teams and external AI tools is essential.

Qualifications

• 3+ years of software engineering experience with full-stack capability.
• Experience building applications or agents using large language models: prompt engineering, RAG architectures, LLM orchestration, or tool-use patterns.
• Experience building interconnected multi-agent ecosystems — implementing agent coordination, shared tooling, and communication patterns across autonomous components.
• Solid ML fundamentals: ability to perform data analysis, build and evaluate models, and work with feature pipelines.
• Rigorous engineering habits—you believe in tested code, clean architecture, and building for maintainability from the start.
• Familiarity with capital markets; investment banking, private equity, venture capital, or hedge funds is preferred.
• Experience with cloud platforms (Azure preferred), data tools (Databricks, Spark), and pipeline orchestration (Dagster, Airflow).
• Outcome-focused mindset—to ensure tools move bankers' productivity.

Responsibilities

• Build AI-powered features and agents using Enterprise Claude and proprietary ML models, integrated directly into Salesforce workflows bankers use every day.
• Develop LLM applications for banking use cases including automated comparable analysis, buyer recommendation, meeting intelligence summarization, and deal status briefings.
• Design and maintain data pipelines using Databricks and Dagster for feature engineering, model training, and real-time analytics.
• Work with deal teams and industry groups to identify high-impact automation opportunities and translate banker pain points into working solutions.
• Perform rapid prototyping and exploratory analysis—build proofs-of-concept quickly to validate ideas before production-grade implementations.
• Integrate third-party AI tools via APIs and ensure seamless data flows across the architecture.
• Write well-tested, production-quality code with CI/CD, monitoring, and documentation.
• Contribute to engineering standards and share knowledge as the team scales.

Skills

Full-stack engineering

LLM applications

Prompt engineering

Data pipelines

Salesforce integration

Cloud platforms

Multi-agent systems

ML fundamentals

Tools

Databricks

Dagster

Spark

Airflow

CI/CD

Rogo.ai

Blueflame AI

Fellow.ai

Job description

William Blair seeks a Senior AI Engineer to join an AI Innovation Function embedded with deal teams and industry groups. You will build AI-driven features that integrate into Salesforce workflows used by bankers, delivering tools that accelerate deal origination, execution, and close.

The role spans data pipelines, ML models, and LLM-powered applications with a bias toward rapid shipping, learning from user feedback, and iterating. Collaboration with deal teams and external AI tools is essential.