AI Developer Level III

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

• Job Description:
• This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.

The Software Engineer III role is a hands-on individual contributor position responsible for designing, developing, testing, and supporting enterprise-grade applications and services for the Legal & Public Policy department.

The engineer will be a member of the Legal AI development team, which builds AI-enabled solutions that improve how legal professionals access information, analyze documents, summarize complex content, and interact with legal knowledge and technology platforms.

The role will contribute to applications that process and summarize legal documents, provide conversational access to legal knowledge, integrate with internal and external Legal AI platforms, and enable reusable AI agents and workflows.

The role spans Python services, document ingestion and parsing, APIs, AI orchestration, retrieval pipelines, search technologies, application integrations, and potentially front-end user experiences. The engineer will work in close partnership with Legal stakeholders and technology teams to deliver solutions that are secure, maintainable, explainable, and appropriate for use in a regulated enterprise environment.

Responsibilities:

Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements

Design, develop, test, deploy, and support Python-based applications, reusable services, and APIs that enable Legal AI capabilities

Build RESTful services using Python frameworks such as FastAPI, including request validation, exception handling, authentication and authorization integration, logging, and API documentation

Develop document ingestion and processing capabilities for PDF, Microsoft Office, text, email, and other structured and unstructured content formats

Evaluate and use appropriate Python document processing libraries for text extraction, document parsing, metadata extraction, content normalization, table extraction, and preparation of documents for downstream AI processing

Implement solutions for AI-assisted document summarization, question answering, information extraction, classification, and conversational experiences

Contribute to the development of Ask Legal chatbot capabilities that allow users to search, retrieve, and interact with approved legal knowledge sources

Integrate internal applications with Legal AI vendor platforms using secure Python APIs, SDKs, web services, and Model Context Protocol client and server patterns

Build and maintain AI orchestration workflows using frameworks such as LangChain, LangGraph, or equivalent bank-approved technologies

Develop and integrate tools, functions, prompts, state management, routing logic, and multi-step workflows used by AI agents

Support the enablement of AI agents using Microsoft Copilot Studio and other approved enterprise AI platforms and frameworks

Contribute to retrieval augmented generation pipelines, including document ingestion, parsing, chunking, metadata enrichment, embedding generation, indexing, retrieval, reranking, prompt assembly, and response grounding

Develop search and retrieval capabilities using Elasticsearch, including keyword, metadata, and semantic or vector-based search patterns where appropriate

Work with relational databases, document databases, vector stores, and graph databases based on solution requirements.

Apply secure software engineering practices appropriate for a regulated enterprise, including input validation, access control, secrets management, data protection, audit logging, dependency management, and vulnerability remediation

Develop automated unit, integration, API, and regression tests to improve solution quality and reliability

Participate in code reviews, design discussions, technical troubleshooting, and continuous improvement of team development practices

Collaborate with Legal stakeholders, product managers, architects, platform teams, cybersecurity, risk partners, and other engineering teams to translate business needs into reliable technical solutions.

Investigate production and non-production issues across application, API, integration, data, search, and AI orchestration layers.

Create and maintain technical documentation, including API specifications, implementation designs, support procedures, data flows, and operational runbooks.

Conduct proof of concept and technical spikes to evaluate emerging libraries, frameworks, AI patterns, and integration approaches

Share technical knowledge with team members and contribute reusable components and patterns that accelerate delivery across Legal AI initiatives

Required Qualifications

Strong hands-on experience developing enterprise applications and services using Python.

Experience designing and implementing RESTful APIs using FastAPI, Flask, Django, or comparable Python frameworks. FastAPI experience is strongly preferred.

Strong understanding of object-oriented programming, modular application design, exception handling, dependency management, and reusable software components.

Experience processing PDF files and other unstructured document formats using Python libraries and content extraction frameworks.

Experience with one or more document processing libraries or platforms such as PyMuPDF, pypdf, pdfplumber, Apache Tika, Unstructured, python-docx, or comparable technologies.

Experience integrating applications with internal or external platforms using REST APIs, SDKs, authentication mechanisms, and structured message formats such as JSON.

Experience developing automated unit and integration tests using tools such as pytest or comparable testing frameworks.

Working knowledge of relational or non-relational databases and the ability to design appropriate application data access patterns.

Understanding of secure API and application development practices, including authentication, authorization, input validation, secrets protection, and depende