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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