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, techniques, and tools in the field of data analysis and insights generation is essential for staying current with industry trends and best practices.
• Resilience: The ability to handle pressure, adapt to changing priorities, and overcome setbacks is important in a fast-paced and sometimes ambiguous analytical environment.
• Ethical and Integrity: Upholding ethical standards and maintaining integrity in handling sensitive data and information is paramount for building trust and credibility in the insights provided

Physical Requirements and Working Conditions:

• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands and/or fingers.
• Must be able to provide a dedicated, secure work area.
• be able to provide high-speed internet access / connectivity and office setup and maintenance.
• No adverse environmental conditions expected.

Base compensation ranges from $111,000 to $150,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. 

 

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

 

This role is based remotely and all interviews will be conducted virtually.

 

Date of posting: 00/00/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 00/00/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

 

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