Home › Companies › Careers Cotiviti Icims Com › Staff Engineer I (AI, Java)
Staff Engineer I (AI, Java)
Careers Cotiviti Icims Com · Remote, UNAVAILABLE, US · Remote · Active · $145,000–$176,000 / year · iCIMS
Job facts
| Field | Value |
|---|---|
| Company | Careers Cotiviti Icims Com |
| Title | Staff Engineer I (AI, Java) |
| Normalized title | - |
| Department / team | Engineering/IT |
| Location | UNAVAILABLE, United States |
| Work model | Remote / Remote |
| Employment type | OTHER |
| Salary | $145,000–$176,000 / year |
| Status | active |
| ATS provider | iCIMS |
| Posted / first seen | 2026-06-04 / 2026-06-06 |
| Changed / last seen | 2026-06-06 / 2026-06-20 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Careers Cotiviti Icims Com. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through iCIMS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Engineering/IT. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Careers Cotiviti Icims Com |
| Source | d8653062-f506-44f4-93e1-e4653fab29cd |
| ATS provider | iCIMS |
Description
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
Full job record
| Job ID | 6b967902cac7145082ca92fb207e9dcd970a51df |
| Org ID | af99ffa4-ddde-4c10-a655-8717cc2642c4 |
| Source ID | d8653062-f506-44f4-93e1-e4653fab29cd |
| Board ID | d8653062-f506-44f4-93e1-e4653fab29cd |
| Provider | icims |
| Provider Job Key | 19358 |
| Title | Staff Engineer I (AI, Java) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote, UNAVAILABLE, US |
| Department | Engineering/IT |
| Team | — |
| Employment Type | OTHER |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | UNAVAILABLE |
| City | — |
| Salary Raw | 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 |
| Salary Min | 145,000 |
| Salary Max | 176,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://careers-cotiviti.icims.com/jobs/19358/staff-engineer-i-%28ai%2c-java%29/job |
| Apply URL | https://careers-cotiviti.icims.com/jobs/19358/staff-engineer-i-%28ai%2c-java%29/job |
| First Seen At | 2026-06-06 08:37:39Z |
| Last Seen At | 2026-06-20 08:42:04Z |
| Last Checked At | 2026-06-20 08:42:04Z |
| Last Changed At | 2026-06-06 08:37:39Z |
| Inactive At | — |
| Source Posted At | 2026-06-04 04:00:00Z |
| Source Updated At | 2026-06-04 10:17:25Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=icims/board=careers-cotiviti.icims.com/date=2026-06-20/2026-06-20T08-42-00-946Z-5cde30059f8d041637d593d85a4b75e0a17c44348d63a38fd6c1fc0666799dca.json |
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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.</p>\n<p> </p>\n<p>The role partners with Technical Architects and leads engineering teams to deliver secure, scalable, and reusable services across enterprise workflow platforms.</p>\n<h2>Responsibilities</h2>\n<ul>\n <li>Lead design and development of <strong>Java-based backend services</strong> (Spring Boot, microservices)</li>\n <li>Implement solutions across <strong>workflow platforms</strong> (Temporal, Camunda, Flowable, JBPM, Drools, Appian)</li>\n <li>Build <strong>AI-enabled service capabilities</strong> for workflow automation and decision support</li>\n <li>Drive adoption of <strong>AI-assisted development (Claude, Copilot)</strong> with strong validation and engineering standards</li>\n <li>Implement <strong>AI-native patterns</strong>:</li>\n <ul>\n <li>intelligent 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