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

Bank of America•Jersey City, NJ

2d•Onsite

About The Position

This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services. Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements. Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap. We are seeking a highly skilled, hands-on Senior Architect to lead the design and delivery of next-generation, AI-driven agentic solutions across our Client Servicing and Money Movement portfolio. This role sits at the intersection of business transformation, advanced AI, and modern engineering, and is critical to driving intelligent automation, enhancing client experience, and reducing operational friction. The ideal candidate brings deep technical expertise, strong architectural leadership, and a proven ability to design, build, and scale AI-powered platforms—while remaining actively engaged in hands-on delivery.

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 within financial services or regulated environments.
Experience with Generative AI, LLMs, orchestration frameworks, and agentic architectures.
Strong understanding of client servicing and/or money movement processes (e.g., payments, transfers, ACH, 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 POC to production scale.
Core Technical Skills: LangChain / LangGraph
Market‑available LLMs (e.g., OpenAI, Azure OpenAI, Anthropic, Mistral).
LLM & Agent Fundamentals: Candidates must deeply understand how LLMs behave, not just how to call an API.
Vector databases (FAISS, Pinecone, Weaviate, Azure AI Search)
Chunking strategies & embeddings
Hybrid search (vector + keyword)
Evaluation of retrieval quality
Java, Python
ReactJS / .NET
Spring Boot
Architecture & Cloud
Microservices architecture
Cloud platforms: AWS, Azure
Containers: OpenShift
MuleSoft
BPM/Workflow tools (e.g., Camunda)
RESTful APIs
Integration & Middleware
Event-driven architecture (Kafka, MQ)
API Gateways (Apigee, Kong, AWS API Gateway)
ETL and data migration tools
Key Competencies: Hands-on technical leadership
Strategic mindset with strong execution focus
Innovation and problem-solving orientation
Strong stakeholder management and communication skills
Ability to thrive in fast-paced, evolving environments
Success Measures: Successful delivery of scalable, AI-driven agentic solutions across the portfolio
Measurable reduction in manual effort and processing time
Improved client and advisor experience
Effective transition of POCs into production-ready capabilities
Skills: Analytical Thinking
Architecture
Result Orientation
Solution Design
Technical Strategy Development
Application Development
Collaboration
Data Management
DevOps Practices
Risk Management
Agile Practices
Automation
Influence
Solution Delivery Process
Test Engineering

Responsibilities

Works across the business, operations and technology to create the solution intent and architectural vision for complex solutions and prioritize functional and non-functional requirements into a technology backlog to enable the technology roadmap and functionality to support evolving capabilities and services
Contributes to the creation of the architecture roadmap of defined domains (Business, Application, Data, and Technology) in support of the product roadmap and the development of best practices including standardized templates
Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments
Facilitates solution driven discussions, leads the design of complex architectures, and finds creative solutions through knowledge of domain, practical experiments, and proof of concepts while ensuring architecture is flexible, modular, and adaptable
Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions
Supports the team as needed to select the technology stack required for solutions and helps select preferred technology products
Performs design and code reviews to ensure all non-functional requirements are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)