Technical Architect II
Overview
Technical Architect II designs and evolves intelligent workflow and automation solutions in an AI-native development environment. This role combines expertise in application architecture, workflow orchestration, and enterprise platforms with AI-assisted engineering tools (e.g., Claude, Copilot) to accelerate solution design, code generation, and SDLC execution.
The architect will support the Payment BU Workflow Intelligence & Orchestration Initiative, collaborating on client inquiry and payment workflows, while contributing to a Center of Excellence (CoE) for AI-enabled workflow development - delivering scalable, secure, reusable, and AI-augmented solutions while minimizing technical debt and avoiding vendor lock-in.
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 .
- Define AI-assisted development patterns (prompt design, validation, governance) for workflow behavior and generated code.
- 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.
- 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.
- Support CI/CD, DevSecOps, and cloud-native deployments (OpenShift, AWS), including validation of AI-generated code and workflows.
- Provide technical leadership, code/design reviews, and enforce engineering rigor in AI-assisted environments.
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties, and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and the requirements of the job change.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- 10+ years of application architecture experience with enterprise-scale systems.
- Strong expertise in workflow orchestration, distributed systems, and integration design .
- Experience with open-source workflow engines (Temporal.io, Camunda, Flowable, JBPM, Drools).
- Strong development background in Java-based ecosystems and microservices architectures .
- Experience with databases such as Oracle and PostgreSQL , including performance tuning and optimization.
- Experience with DevOps, CI/CD pipelines, and container platforms (OpenShift, Kubernetes, AWS) .
- Experience using AI-assisted development tools (Copilot, Claude) .
- Strong knowledge of APIs, security (SSO, RBAC), and scalable system design.
- Familiarity with Agile practices (SAFe preferred) and strong communication skills.
Preferred Qualifications
- Experience in AI-native SDLC environments .
- Knowledge of governance for AI-generated code and workflows .
- Experience designing multi-platform workflow architectures .
- Background in Healthcare IT or payment integrity systems.
Mental Requirements:
- Ability to work with different teams in different cultures.
- Ability to rapidly comprehend the functions and capabilities of new technologies.
- Ability to balance the long-term ("big picture") and short-term implications of individual decisions.
- Ability to translate business needs into architecture requirements.
- Ability to articulate advanced technical topics to both technical and non-technical staff.
- Ability to artic