Senior AI Engineer

Posted 11 Days Ago
Be an Early Applicant
3 Locations
In-Office
175K-215K Annually
Senior level
Fintech • Financial Services
The Role
Build production-grade AI features and LLM pipelines (RAG, prompt engineering, context management) for financial-data workflows. Implement agentic workflows with Agno, optimize for accuracy/latency/cost, evaluate output quality, and integrate AI capabilities with backend APIs while maintaining code quality, observability, and testability.
Summary Generated by Built In

At BBH, Partnership is more than a form of ownership—it’s our approach to business and relationships.  We know that supporting your professional and personal goals is the best way to help our clients and advance our business. We take that responsibility seriously. With a 200-year legacy and a shared passion for what’s next, this is the right place to build a fulfilling career.

About the Role

As an AI Engineer, you'll build the intelligence layer of the platform - the AI-powered features that allow financial services users to generate data transformations from natural language, get intelligent integration suggestions, detect data quality issues, and refine outputs based on feedback. This is where the product stops feeling like a tool and starts feeling genuinely new.

This is a hands-on production role. You'll build and iterate on LLM pipelines, RAG systems, and agentic workflows using Agno; optimize AI systems for accuracy, latency, and cost in a context where correctness matters; and collaborate closely with Backend Engineers to ensure AI capabilities are reliably surfaced through the platform. You'll work under the direction of the Head of AI Engineering and have real ownership over the features you build.

Responsibilities

AI Feature Development

  • Build and iterate on AI-powered product features - transformation generation from natural language, integration configuration suggestions, data quality detection, and automated validation
  • Implement LLM pipelines that are robust, observable, and production-ready - not proof-of-concepts

LLM Pipeline Engineering

  • Build and optimize LLM pipelines including prompt engineering, context management, and RAG systems tailored to financial services data schemas
  • Evaluate and improve AI output quality continuously - build evaluation datasets and automated scoring frameworks
  • Optimize for accuracy, latency, and cost across different usage patterns

Agentic Workflows

  • Implement multi-step agentic workflows using Agno,
  • Build workflows that handle complex, multi-turn AI interactions cleanly - with proper error handling, retry logic, and human escalation paths

Platform Collaboration

  • Work closely with Backend Engineers to integrate AI capabilities into the platform's API and workflow layer
  • Build the service interfaces that connect AI outputs to platform execution cleanly
  • Participate in code reviews and maintain high standards for code quality and testability

Requirements

Experience

  • 5+ years software engineering; 1+ years focused on GenAI/LLM applications in production
  • Has shipped AI features to real users - not just prototypes or internal demos

Technical Skills

  • Hands-on with LLM APIs in production - Anthropic Claude and/or OpenAI
  • Built and shipped RAG systems to production (not just experimented with them)
  • Experience with agentic frameworks - Agno, LangChain, LlamaIndex, or comparable
  • Strong Python proficiency
  • Azure or AWS cloud experience
  • Vector databases - Pinecone, Weaviate, pgvector, or comparable
  • Active user of AI coding assistants in daily workflow

Nice to Have

  • Financial services or data domain background - understanding of financial data schemas, transformation logic, or data quality requirements adds significant context to the role
  • Experience with Temporal or workflow orchestration systems
  • Experience fine-tuning models or working with open-source LLMs for domain-specific tasks
  • Open-source AI contributions or technical writing
  • Data engineering familiarity - understanding ETL/ELT patterns helps in building more effective transformation generation features

   

Salary Range

MA: $175,000 - $215,000 base salary + annual target bonus

NY/ NJ: $175,000 - $215,000 base salary + annual target bonus

BBH and its affiliates' compensation program includes base salary, discretionary bonuses, and profit-sharing. The anticipated base salary range(s) shown above are only for the indicated location(s) and may differ in other locations due to cost of living and labor considerations. Base salaries may vary based on factors such as skill, experience and qualification for the role. BBH's total rewards package recognizes your contributions with more than just a paycheck—providing you with benefits that enhance your experience at BBH from long-term savings, healthcare, and income protection to professional development opportunities and time off, our programs support your overall well-being. 

 

We value diverse experiences. We value diverse experiences and transferrable skillsets. If your career hasn’t followed a traditional path, includes alternative experiences, or doesn’t meet every qualification or skill listed in the job description, please do go ahead and apply.

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. Across Investor Services and Capital Partners, we work with an enviable roster of sophisticated clients who make BBH their first call when they are tackling their hardest challenges. Delivering for our clients and each other energizes us.

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 believe stability is a competitive advantage, but being stable means having the knowledge, skill, and discipline to evolve, often—pushing the boundaries of innovation.  As a private partnership, every investment we make is in the relationships, technologies, products and development we believe are in the long-term interests of our clients and our people. Our long-tenured leaders are experts in their areas and are actively involved in the day-to day business, taking the time to provide guidance and mentoring to build the next generation of BBHers. Because we know, our success begins with yours.

Go to BBH.com to learn more about our rewards and benefits, philanthropy, approach to sustainability or how we support you to thrive personally, physically and financially.

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.

Skills Required

  • 5+ years software engineering experience
  • 1+ years focused on GenAI/LLM applications in production
  • Has shipped AI features to real users (production, not prototypes)
  • Hands-on with LLM APIs in production (Anthropic Claude and/or OpenAI)
  • Built and shipped RAG systems to production
  • Experience with agentic frameworks (Agno, LangChain, LlamaIndex, or comparable)
  • Strong Python proficiency
  • Azure or AWS cloud experience
  • Experience with vector databases (Pinecone, Weaviate, pgvector, or comparable)
  • Active use of AI coding assistants in daily workflow
  • Financial services or data domain background
  • Experience with Temporal or workflow orchestration systems
  • Experience fine-tuning models or working with open-source LLMs
  • Open-source AI contributions or technical writing
  • Data engineering familiarity (ETL/ELT patterns)

Brown Brothers Harriman Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brown Brothers Harriman and has not been reviewed or approved by Brown Brothers Harriman.

  • Parental & Family Support Parental leave and family-building support are positioned as standout parts of the package, including maternity/paternity leave and adoption/surrogacy assistance. These offerings are often framed as “top-tier” and can meaningfully offset weaker cash compensation for those who value family support.
  • Wellbeing & Lifestyle Benefits Well-being resources are described as comprehensive, spanning mental health support, wellness platforms, gym discounts, and related programs. Flexible work arrangements such as remote work and flextime also reinforce the lifestyle value of the overall rewards package.
  • Retirement Support Retirement benefits like 401(k) matching and profit sharing are highlighted as meaningful components of total rewards. The value can be time-dependent due to vesting requirements that may reduce near-term benefit for shorter-tenured employees.

Brown Brothers Harriman Insights

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The Company
HQ: New York, NY
5,756 Employees
Year Founded: 1818

What We Do

Brown Brothers Harriman (BBH) is a privately-held financial institution that has been a thought leader and solutions provider for over 200 years. We serve the most sophisticated individuals and institutions with expertise in Private Banking, Investment Management and Investor Services. Our 5,000 employees operate from 17 locations throughout North America, Europe and Asia.

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