Senior Architect (hands-on) – Client Servicing & Money Movement

Bank of America Bank of America · Banking · Pennington, Jersey City

Senior Architect responsible for defining the architectural vision and solution for next-generation, AI-driven agentic solutions in client servicing and money movement. This role requires hands-on engineering expertise in building and scaling AI-powered platforms, focusing on intelligent automation and enhancing client experience within a financial services context.

What you'd actually do

  1. 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
  2. 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
  3. Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments
  4. 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
  5. Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions

Skills

Required

  • software engineering and architecture
  • AI/ML
  • distributed systems
  • enterprise-scale solutions
  • financial services or regulated environments
  • Generative AI
  • LLMs
  • orchestration frameworks
  • agentic architectures
  • AI-driven workflow automation
  • digital assistants
  • risk, compliance, and fraud detection in financial transactions
  • agent frameworks (LangChain, RASA, or similar)
  • taking AI solutions from POC to production scale
  • LangChain / LangGraph
  • Market‑available LLMs (e.g., OpenAI, Azure OpenAI, Anthropic, Mistral)
  • LLM & Agent Fundamentals
  • 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
  • Microservices architecture
  • Cloud platforms: AWS, Azure
  • Containers: OpenShift
  • MuleSoft
  • BPM/Workflow tools (e.g., Camunda)
  • RESTful APIs
  • Event-driven architecture (Kafka, MQ)
  • API Gateways (Apigee, Kong, AWS API Gateway)
  • ETL and data migration tools
  • Hands-on technical leadership
  • Strategic mindset with strong execution focus
  • Innovation and problem-solving orientation
  • Strong stakeholder management

What the JD emphasized

  • Hands-On Engineering
  • AI & Innovation
  • Proven track record building enterprise-scale solutions within financial services or regulated environments.
  • Experience with Generative AI, LLMs, orchestration frameworks, and agentic architectures.
  • Experience designing AI-driven workflow automation or digital assistants.
  • Demonstrated success taking AI solutions from POC to production scale.

Other signals

  • AI-driven agentic solutions
  • intelligent automation
  • hands-on delivery
  • Generative AI, LLMs, orchestration frameworks, and agentic architectures
  • AI-driven workflow automation or digital assistants
  • agent frameworks
  • taking AI solutions from POC to production scale