Senior Architect (Hands-On) – Client Servicing & Money Movement
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)
Benefits
- Access to paid time off
- Resources and support to our employees
- Discretionary incentive eligible
- Annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
