Staff Engineer I (AI, Java)

Overview

Staff Engineer I (AI, Java) is a senior hands-on technical leader responsible for designing and building intelligent backend services and workflow-integrated solutions within an AI-native development environment. This role combines deep expertise in Java-based systems and workflow orchestration with AI-assisted engineering (Claude, Copilot) to enable scalable automation, intelligent routing, and decisioning. The role partners with Technical Architects and leads engineering teams to deliver secure, scalable, and reusable services across enterprise workflow platforms.

Responsibilities

• Lead design and development of Java-based backend services (Spring Boot, microservices)
• Implement solutions across workflow platforms (Temporal, Camunda, Flowable, JBPM, Drools, Appian)
• Build AI-enabled service capabilities for workflow automation and decision support
• Drive adoption of AI-assisted development (Claude, Copilot) with strong validation and engineering standards
• Implement AI-native patterns: intelligent routing context-aware processing embedded decision support
• Lead microservices and event-driven architectures for scalable systems
• Collaborate with architects to translate design into implementation
• Provide technical leadership: design/code reviews mentoring engineers guiding best practices
• Support CI/CD, DevSecOps, and cloud deployments (OpenShift, Kubernetes, AWS)
• Drive reusable services and shared platform components

Qualifications

• Bachelor’s degree in Computer Science or equivalent
• 8–10+ years of enterprise backend development experience
• Strong expertise in: Java, Spring Boot, microservices REST APIs and integration patterns
• Workflow orchestration platforms
• Experience integrating AI-driven capabilities into enterprise systems
• Strong understanding of distributed systems and event-driven architecture
• Experience with: PostgreSQL / Oracle
• CI/CD, DevOps, OpenShift, Kubernetes, AWS
• Familiarity with Copilot, Claude or similar tools
• Proven ability to lead design, mentor engineers, and drive alignment

Preferred Qualifications

• Experience building workflow and decision automation platforms
• Exposure to AI-native development practices
• Experience with Appian or similar platforms

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.

Pay and Benefits

Base compensation ranges from $145,000 to $176,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.

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.