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:
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Critical Thinking : Ability to think critically and evaluate information objectively, considering different perspectives and potential implications before drawing conclusions or making recommendations.
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Attention to Detail : must have a keen eye for detail to ensure accuracy in data analysis, interpretation, and reporting.
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Quantitative Aptitude : Strong numerical skills are essential for conducting quantitative analysis, working with statistical methods and models, and manipulating data using mathematical operations.
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Data Interpretation : skilled in interpreting data visualizations, charts, graphs, and other forms of data presentation to extract meaningful insights and communicate findings effectively.
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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.
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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.
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Resilience: The ability to handle pressure, adapt to changing priorities, and overcome setbacks is important in a fast-paced and sometimes ambiguous analytical environment.
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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