Senior Architect (Hands-On) – Client Servicing & Money Movement

Bank of America•Jersey City, NJ

4d•$140,500 - $205,000•Onsite

About The Position

Bank of America is seeking a hands-on Senior Architect to lead the design and delivery of AI-driven agentic solutions across its Client Servicing and Money Movement portfolio. The role combines business transformation, advanced AI, and modern engineering to support intelligent automation, improve client experience, and reduce operational friction. The architect defines the solution vision and target operating environment, supports system design and implementation, and contributes to architecture roadmaps aligned with product and business objectives. The role also works with business, operations, technology stakeholders, and service providers to assess design decisions and deliver scalable, resilient solutions. The ideal candidate has deep experience in software architecture and engineering, AI/ML, distributed systems, and regulated financial services, and stays actively involved in hands-on delivery. The technology environment includes agentic AI and LLMs, vector search, Java and Python, microservices, cloud platforms, containers, workflow tools, APIs, and event-driven integration. The role is based at the listed New Jersey locations and follows Bank of America’s in-office culture, with flexibility based on role responsibilities and business needs. The position is first shift, 40 hours per week. The annualized salary range is $140,500–$205,000, with offers based on experience, education, and skill set. It is eligible for an annual discretionary incentive and benefits, including paid time off and resources supporting employee well-being.

Requirements

10+ years of experience in software engineering and architecture, with recent focus on AI/ML and distributed systems.
Proven track record building enterprise-scale solutions in financial services or other regulated environments.
Experience with Generative AI, LLMs, orchestration frameworks, and agentic architectures.
Strong understanding of client servicing and/or money movement processes, such as payments, transfers, ACH, or wires.
Experience designing AI-driven workflow automation or digital assistants.
Knowledge of risk, compliance, and fraud detection in financial transactions.
Experience with agent frameworks such as LangChain, RASA, or similar.
Demonstrated success taking AI solutions from proof of concept to production scale.
Deep understanding of LLM behavior, beyond simply calling an API.
Knowledge of vector databases, chunking strategies, embeddings, hybrid search, and retrieval quality evaluation.
Technical experience with Java, Python, ReactJS and/or .NET, and Spring Boot.
Knowledge of microservices architecture, AWS and/or Azure, OpenShift, MuleSoft, BPM/workflow tools such as Camunda, RESTful APIs, event-driven architecture using Kafka or MQ, API gateways, and ETL and data migration tools.
Hands-on technical leadership, strategic thinking, and strong execution.
Strong stakeholder management and communication skills.
Ability to work in fast-paced, evolving environments.
Bachelor’s degree or equivalent work experience.

Responsibilities

Work across business, operations, and technology to define solution intent and architectural vision for complex solutions.
Prioritize functional and non-functional requirements into a technology backlog supporting the technology roadmap and evolving capabilities and services.
Contribute to architecture roadmaps across business, application, data, and technology domains in support of the product roadmap.
Develop architecture best practices, including standardized templates.
Clarify architecture, assist with system design for implementation, and provide solution options to resolve architectural impediments.
Facilitate solution-oriented discussions and lead the design of complex architectures.
Use domain knowledge, practical experiments, and proofs of concept to find creative solutions and ensure architectures are flexible, modular, and adaptable.
Educate team members on technology practices, standardization strategies, and best practices.
Support selection of technology stacks and preferred technology products.
Perform design and code reviews to ensure non-functional requirements such as security, performance, maintainability, scalability, usability, and reliability are met.
Lead the design and delivery of AI-driven agentic solutions across Client Servicing and Money Movement.
Take AI solutions from proof of concept to production scale.
Deliver scalable solutions that reduce manual effort and processing time and improve client and advisor experience.