Staff Software Engineer AI User Interfaces Workflow Automation

The Role:

We are seeking an experienced Staff Software Engineer specializing in User Interfaces Workflows and AI/GenAI applications to join our Risk Analytics team. In this role you will be responsible for designing and developing sophisticated user interfaces AIpowered workflow automation systems and data visualization components that transform how our team interacts with critical financial data and documents. You will be responsible for the fullstack development and operationalization of software including data and API integration deploying and maintaining enterpriselevel AI/ML applications on AWS.

What Youll Do:

• Develop AIbased workflow automation and task management applications to replace manual processes
• Design develop and operate fullstack applications with AI capabilities for workflow and manual process automations
• Build intuitive user interfaces that enable effective data visualization analysis and interaction
• Package configure deploy and operate enterpriselevel AI and ML applications on AWS cloud infrastructure
• Implement fullstack solutions that integrate with existing banking systems and APIs
• Create and optimize database queries to support dataintensive applications
• Collaborate with risk analysts to understand their workflow needs and translate them into technical requirements
• Integrate AI tools and capabilities to further enhance automation of document and data processing
• Ensure all developed solutions meet banking industry security and compliance standards
• Maintain and refactor existing codebase to improve performance and maintainability
• Provide technical leadership and mentorship to other developers

What Youll Need:

• 7 years of experience in software engineering with a focus on UI development and workflow automation
• Proven experience working in the banking or financial services industry
• Strong proficiency in frontend technologies (JavaScript TypeScript React Angular or similar frameworks)
• Experience with backend development and RESTful API design
• Experience packaging configuring deploying and operating enterpriselevel AI/ML applications on AWS
• Expertise in AWS services related to AI/ML operations (Bedrock SageMaker Lambda ECS ECR)
• Ability to design and develop AIdriven fullstack applications for process automation
• Experience building CI/CD pipelines for AI/ML applications
• Expertise in database technologies and writing efficient queries
• Demonstrated ability to build and optimize complex workflow systems
• Experience with Robotic Process Automation (RPA) tools such as UiPath Blue Prism or Automation Anywhere
• Proficiency in implementing AIpowered workflow solutions including natural language processing document understanding and intelligent document processing tools
• Experience integrating machine learning models and predictive analytics into user workflows
• Knowledge of banking systems data structures and regulatory requirements
• Excellent problemsolving skills and attention to detail
• Strong communication skills to collaborate with technical and nontechnical stakeholders

Preferred Qualifications:

• Experience with MLOps and AI application lifecycle management
• Knowledge of containerization technologies (Docker Kubernetes) for AI workloads
• Experience with risk management systems or analytics platforms
• Knowledge of modern UI/UX design principles
• Familiarity with cloudbased technologies and microservices architecture
• Experience with document processing and automation tools
• Understanding of banking risk models and analytical methods
• Prior involvement in projects that significantly reduced manual processing time through AI automation

Required Experience:

Staff IC