Core Responsibilities:
- Define architectural standards, patterns, and best practices for workflow platforms, including guardrails for AI-assisted development and code generation.
- Leverage AI tools (Claude, Copilot) to accelerate design, code generation, and documentation, with strong validation and oversight.
- Design scalable, secure, and maintainable workflow solutions aligned to business needs and AI-driven decisioning.
Technical Expertise:
- Architect solutions across open-source workflow engines (Temporal.io, Camunda, Flowable, JBPM, Drools) and custom services.
- Design event-driven and service-based architectures using Java-based ecosystems and modern integration patterns.
- Support CI/CD, DevSecOps, and cloud-native deployments (OpenShift, AWS), including validation of AI-generated code and workflows.
Collaboration and Leadership:
- Contribute to a Workflow CoE, driving governance, reusability, performance, and AI-native standards.
- Collaborate across product, infrastructure, security, data, and AI teams to integrate AI into workflows and SDLC processes.
- Provide technical leadership, code/design reviews, and enforce engineering rigor in AI-assisted environments.