Sr Software AI Engineer

Responsibilities:




AI-Native Engineering
· Build and enhance production-grade Java/Spring Boot backend services, APIs, and microservices using AI-assisted workflows (Claude, Copilot) for coding, testing, debugging, and documentation.
· Review, validate, and refine AI-generated code for correctness, performance, security, and maintainability.
· Integrate services with workflow orchestration platforms (e.g., Temporal.io, Camunda) to support automation, intelligent routing, and decision support.
· Orchestrate AI tool usage across development activities and help refine AI-native engineering standards set by the Tech Lead.








Collaboration & Delivery
· Collaborate with the AI-Native Tech Lead, data teams, and adjacent teams to deliver features end-to-end, balancing speed, quality, and long-term maintainability.
· Participate in design discussions and code reviews; communicate technical issues and tradeoffs clearly to engineering and product stakeholders.








Quality & Continuous Improvement
· Ensure adherence to client technology standards, secure coding practices, and SDLC requirements; resolve production issues and improve system performance and reliability.
· Contribute to CI/CD, DevSecOps, and cloud-native deployments (OpenShift/Kubernetes, AWS).
· Continuously build AI-assisted development knowledge and help improve team engineering practices. Complete all responsibilities on the annual Performance Plan and any special projects/duties as assigned.




Required Qualifications:




Required
· BS or MS in Computer Science, Information Technology, Engineering, or equivalent experience.
· 5+ years of professional backend/enterprise software engineering experience.
· Strong proficiency in Java, Spring Boot, and microservices architecture, with solid REST API and integration-pattern experience.
· Demonstrated experience building and shipping production applications, using AI-assisted tools (Claude, Copilot, or similar) as part of daily workflow.
· Strong debugging, problem-solving, and code-review skills, with a detail-oriented, ownership-driven approach to quality.
· Experience with relational databases/SQL (PostgreSQL/Oracle), data modeling, and performance tuning.
· Experience with event-driven/distributed systems and CI/CD, DevOps, and container/cloud platforms (OpenShift, Kubernetes, AWS).
· Exposure to workflow orchestration platforms (Temporal, Camunda, Flowable, JBPM, or Drools).
· Strong communication and collaboration skills; ability to learn quickly in a fast-evolving technical environment; Agile experience (SAFe preferred).








Preferred Qualifications
· Experience building workflow-driven or decision-automation solutions, or with enterprise workflow platforms (Temporal.io or similar).
· Exposure to AI-native development practices, prompt-assisted workflows, and governance practices for AI-assisted development.
· Experience contributing to shared platforms/integration frameworks, or building internal developer tools and automation.
· Experience with cloud platforms (AWS, Azure, OCI) and containerization (Docker, Kubernetes).
· Background in Healthcare IT or regulated environments.