AI Engineering Director

Brown Brothers Harriman; Boston (MA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Market-rate salary and comprehensive benefits

Equity available for select roles

Professional development budget

Job summary

Brown Brothers Harriman is looking for an AI Engineering Director to execute the AI strategy for their financial services platform. This role involves working closely with AI engineers to build innovative AI solutions that enhance data integrations and transformations.

The ideal candidate will have significant experience in AI/ML engineering and maintain a hands-on approach while leading the team. BBH offers a competitive package with the possibility of equity participation, among other benefits.

Qualifications

• 3+ years AI/ML engineering; 5+ years in a product development environment.
• Player-coach track record - has led teams while remaining deeply hands-on.

Responsibilities

• Execute the AI strategy - LLM selection and management.
• Design and implement core AI capabilities: transformation generation.
• Establish evaluation, monitoring, and continuous improvement practices for production AI systems.

Skills

Expert Python proficiency

Deep production LLM experience

Production experience with agentic frameworks

Workflow orchestration experience

Experience with Azure or AWS

Active daily user of AI coding assistants

Tools

Vector databases and embedding systems

Job description

Overview

BBH is a partnership-driven firm with a 200-year legacy. We are rebuilding how financial services firms create, manage, and execute their data integrations and transformations through an AI-native platform. We are growing our founding team now.

About The Role

As our AI Engineering Director, you\'ll help execute the AI strategy for the platform—facilitating how AI is used to help financial services create, configure, and optimize their data integrations and transformations. The AI layer turns a capable platform into a new category of product. You will work with a team of AI engineers, stay hands-on technically, and collaborate with the Head of Engineering to integrate the AI layer with the core platform. You will help shape decisions on LLM selection, agentic architecture, RAG design, evaluation frameworks, and the interaction model that defines what "AI-native" means for financial data workflows. AI outputs in financial contexts must be accurate, explainable, and auditable; you will build a system that is intelligent and trustworthy.

Responsibilities

• AI Strategy & Architecture: Execute the AI strategy - LLM selection and management, agentic application architecture, RAG system design, prompt engineering standards, and evaluation frameworks
• Help design and implement core AI capabilities: transformation generation from natural language, integration configuration assistance, data quality detection, and intelligent validation
• Determine where AI adds genuine value vs. deterministic logic; this judgment is critical for a financial services product
• Set technical standards and foster a culture of experimentation grounded in production discipline
• Partner with the Head of Engineering and Head of Design on cross-functional AI feature development

• Hands-On Development: Remain deeply technical - architect and implement core AI features
• Build and evolve the transformation generation engine, integration suggestion system, and intelligent validation layer
• Design the AI pipeline architecture that operates reliably inside Agno-orchestrated workflows

• Model Operations: Establish evaluation, monitoring, and continuous improvement practices for production AI systems
• Build frameworks to measure AI output quality - accuracy, consistency, and user acceptance rates
• Implement production monitoring and model drift detection

• Responsible AI: Define responsible AI practices appropriate for financial services - accuracy thresholds, auditability requirements, and appropriate human-in-the-loop controls
• Ensure AI outputs are explainable to both technical and non-technical users

Requirements

Experience

• 3+ years AI/ML engineering; 5+ years in a product development environment
• Player-coach track record - has led teams while remaining deeply hands-on

Technical Skills

• Expert Python proficiency
• Deep production LLM experience - RAG pipelines, prompt engineering, agentic systems, evaluation frameworks
• Production experience with agentic frameworks - Agno strongly preferred; LangChain, LlamaIndex, or comparable also considered
• Workflow orchestration experience (Temporal, Prefect, or Airflow) - AI components must operate reliably within platform workflows
• Azure (primary) or AWS
• Vector databases and embedding systems (Pinecone, Weaviate, pgvector, or comparable)
• Active daily user of AI coding assistants - this is a cultural requirement, not just a preference

Nice to Have

• Financial services, fintech, or regulated industry background - understanding of what accuracy and auditability mean in a compliance-sensitive context
• MLOps and model deployment at scale
• Experience fine-tuning open-source LLMs for domain-specific tasks
• Publications, conference talks, or open-source AI contributions
• Experience building AI features for data tools, analytics platforms, or enterprise SaaS products

Why Join Us

Category-defining work - AI-native data integration and transformation for financial services doesn\'t exist yet. You\'ll help build it from the ground up.

Enterprise backing, startup speed - The credibility, domain expertise, and runway of an established enterprise combined with the pace of a startup. This is an unusual opportunity.

Foundational team - You\'ll be among the first in-house hires. You\'ll set architecture, culture, and standards - not inherit them.

Competitive package - Market-rate salary and comprehensive benefits. Equity is available for select roles. Poland-based team members receive private healthcare, Multisport card, home office setup budget, and professional development budget.

About BBH

Brown Brothers Harriman (BBH) is a premier global financial services firm, known for premium service, specialist expertise, technology solutions and partnership approach to client management. We believe that how we do our work is just as important as what we do. We are relentless problem solvers who know our best ideas come from collective debate and development—so we are never possessive about our ideas. Every day we come together as a diverse community of smart and caring people to deliver exceptional service and expert advice—creating success that lasts. No matter where you sit in the organization, everyone is empowered to contribute their ideas. BBHers can pick up the phone and call any colleague, and they are happy to help. Expanding your impact beyond your daily role is part of how we operate as trusted partners to one another.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law.