Senior AI Engineer

Brown Brothers Harriman

Senior AI Engineer executing the AI strategy for financial services data integration at BBH. Leading technical development of AI features ensuring accuracy and trustworthiness of outputs.

Posted 6/19/2026full-timeBoston • Massachusetts, New Jersey, New York • 🇺🇸 United StatesSenior💰 $210,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzurePython

About the role

Key responsibilities & impact

Execute the AI strategy - LLM selection and management, agentic application architecture, RAG system design, prompt engineering standards, and evaluation frameworks
Help design and implement the core AI capabilities: transformation generation from natural language, integration configuration assistance, data quality detection, and intelligent validation
Determine where AI adds genuine value vs. where deterministic logic is more appropriate
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
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
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
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

What you’ll need

3+ years AI/ML engineering; 5+ years in a product development environment
Player-coach track record - has led teams while remaining deeply hands-on
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)
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
Financial services, fintech, or regulated industry background - understanding of what accuracy and auditability mean in a compliance-sensitive context (nice to have)
MLOps and model deployment at scale (nice to have)
Experience fine-tuning open-source LLMs for domain-specific tasks (nice to have)
Publications, conference talks, or open-source AI contributions (nice to have)
Experience building AI features for data tools, analytics platforms, or enterprise SaaS products (nice to have)

Benefits

Comp & perks

Market-rate salary and comprehensive benefits
Equity is available for select roles
Private healthcare (Medicover or Luxmed) for Poland-based team members
Multisport card
Home office setup budget
Professional development budget

ATS Keywords

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Hard Skills & Tools

AI engineeringML engineeringPythonLLM experienceprompt engineeringRAG pipelinesmodel deploymentfine-tuning LLMsdata quality detectionevaluation frameworks

Soft Skills

leadershiphands-on experiencecross-functional collaborationculture of experimentationtechnical communication