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

Staff Engineer I (AI, Java) at Cotiviti