Senior Software Engineer (AI)

Overview

Senior Software Engineer (AI) is a hands-on role responsible for building intelligent backend services and workflow-integrated solutions within an AI-native development environment. This role combines strong Java-based engineering expertise with enterprise workflow orchestration to enable automation, intelligent routing, and AI-assisted decisioning. The engineer will support the Payment BU Workflow Intelligence & Orchestration Initiative, collaborating with Technical Architects and engineering teams to deliver scalable, secure, and reusable services across workflow platforms.

The role leverages AI-assisted engineering tools (Claude, Copilot) to accelerate development while ensuring validation, quality, and adherence to enterprise standards.

Responsibilities

• Design and develop backend services and APIs using Java (Spring Boot, microservices)
• Integrate services with workflow engines (Temporal.io, Camunda, Flowable, JBPM, Drools) and platforms such as Appian
• Build and expose AI-enabled service capabilities for workflow automation and decision support
• Use AI-assisted tools (Claude, Copilot) for:
• code generation
• testing
• documentation
• development acceleration
• Implement AI-native workflow patterns, including:
• intelligent routing
• context-aware processing
• embedded decision support
• Develop microservices and event-driven architectures supporting distributed workflow execution
• Collaborate with data teams for data access, validation, and transformation
• Support service orchestration and runtime workflow execution
• Contribute to CI/CD, DevSecOps, and cloud-native deployments:
• OpenShift / Kubernetes
• AWS
• Participate in code reviews, design discussions, and cross-team collaboration

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent
• 5+ years of backend / enterprise software development experience
• Strong expertise in:
• Java, Spring Boot, microservices
• REST APIs and integration patterns
• Workflow orchestration platforms (Temporal, Camunda, Flowable, JBPM, Drools)
• Experience integrating AI-driven capabilities into enterprise applications
• Experience with:
• PostgreSQL / Oracle (data modeling, performance tuning)
• Event-driven and distributed systems
• CI/CD, DevOps, container platforms (OpenShift, Kubernetes, AWS)
• Familiarity with AI-assisted development tools (Copilot, Claude)
• Agile experience (SAFe preferred) and strong communication skills

Preferred Qualifications

• Experience building workflow-driven and decision automation solutions
• Exposure to AI-native development practices and prompt-assisted workflows
• Experience with enterprise workflow platforms (Appian or similar)
• Experience contributing to shared platforms or integration frameworks
• Knowledge of governance practices for AI-assisted development
• Background in Healthcare IT or regulated environments

Mental Requirements:

• Critical Thinking: Ability to think critically and evaluate information objectively, considering different perspectives and potential implications before drawing conclusions or making recommendations.
• Attention to Detail: must have a keen eye for detail to ensure accuracy in data analysis, interpretation, and reporting.
• Quantitative Aptitude: Strong numerical skills are essential for conducting quantitative analysis, working with statistical methods and models, and manipulating data using mathematical operations.
• Data Interpretation: skilled in interpreting data visualizations, charts, graphs, and other forms of data presentation to extract meaningful insights and communicate findings effectively.
• Communication Skills: Effective communication skills are crucial for conveying complex technical concepts and insights to non-technical stakeholders clearly and understandably through written reports, presentations, and verbal discussions.
• Curiosity and Learning Agility: A strong desire to learn and explore new methodologies, techniqu