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

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 $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.

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.

#LI-REMOTE

#LI-RA1