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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Architect - **Company:** ECARE OPCO INC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $155,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Cloud Computing, Code Generation, Software Quality, Code Review, Cyber Security, Databases, Continuous Integration, Data Architecture, Data Warehousing, Linux, DevOps, Disaster Recovery, Identity and Access Management, Information Systems Security Architecture Professional, Knowledge Management, Systems Development Life Cycle, Software Tools, Secure Coding, Software Engineering, Data Streaming, Systems Integration, Web Services, Enterprise Application Integration, Google Cloud, Enterprise Software Applications, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Model Validation, Technical Debt, AI Platforms, Kubernetes, Information Technology, Deployment Automation, Data Management, Api Design, Restful APIs, Code Restructuring, Docker, Microservices - **Published:** June 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=90c6136902cd2202 ## About the Role Do you have experience in Web services design?, * Bachelor's or master's degree in Computer Science, Information Technology, Engineering, or equivalent experience. * 10+ years of progressive technology experience in enterprise architecture, solution architecture, software engineering, systems integration, cloud platforms, or technical leadership. * Hands-on experience with REST APIs, API-first design, modular or microservices architectures, messaging, data flows, and enterprise integration patterns. * Experience with Docker, Kubernetes, Linux, CI/CD, automated testing, and DevOps automation. * Strong understanding of data architecture, databases, cybersecurity, IAM, observability, disaster recovery, and operational resilience. * Ability to lead architecture reviews, influence technical direction, mentor engineers, and communicate with technical and non-technical stakeholders. * Practical experience using AI tools to improve engineering, architecture, documentation, testing, troubleshooting, or productivity., * Experience modernizing, consolidating, or scaling enterprise platforms. * Experience with AWS, Azure, GCP, or similar cloud platforms. * Experience with enterprise SaaS ecosystems, ERP, CRM, workflow, analytics, data warehouse, or lakehouse platforms. * Relevant architecture, cloud, Kubernetes, security, or enterprise technology certifications. * Experience with AI platforms, LLM integrations, AI coding assistants, RAG, AI agents, enterprise knowledge connectors, or AI governance practices. Success Measures * Business-aligned architecture roadmap adopted by leadership. * Improved delivery speed, code quality, deployment reliability, testing maturity, productivity, and operational efficiency. * Consistent use of architecture standards, API patterns, DevOps practices, cloud/container principles, security controls, and responsible AI guidelines. * Reduced technical debt, platform fragmentation, redundant capabilities, manual effort, and avoidable complexity. * Enterprise systems that are secure, scalable, observable, resilient, cost-effective, AI-ready, and positioned for future growth. ## Description Staritas is seeking an experienced Enterprise Architect to lead enterprise technology modernization, platform scalability, and responsible AI enablement. Reporting to the CTO, this role will shape architecture strategy across applications, cloud platforms, APIs, integrations, data, cybersecurity, DevOps, and engineering practices. This role partners with technology, business, product, engineering, and security leaders to design secure, scalable, reliable, and maintainable solutions. The Enterprise Architect will help reduce technical debt, improve delivery speed, strengthen platform resilience, and enable practical AI adoption across the enterprise., * Define and drive enterprise architecture, platform modernization, AI enablement, and governance roadmaps. * Lead current- and future-state planning across applications, integrations, APIs, cloud, data, security, DevOps, observability, and AI-enabled capabilities. * Design secure, scalable, API-first, cloud-ready, and AI-aware architecture patterns. * Provide architecture leadership for enterprise applications, workflow systems, data platforms, integrations, identity, monitoring, and deployment automation. * Establish architecture standards, reusable patterns, decision records, and lightweight governance practices. * Review solution designs, validate technology choices, identify risks, reduce technical debt, and guide implementation. * Mentor engineering teams on CI/CD, automated testing, containers, Kubernetes, DevOps automation, secure development, observability, and AI-assisted workflows. * Partner with security and risk stakeholders on secure architecture, access controls, data protection, secure SDLC practices, and responsible AI usage. AI Enablement * Champion responsible AI adoption to improve software delivery, engineering productivity, automation, analytics, operations, and knowledge management. * Help teams use AI for code generation, code review, refactoring, testing, documentation, architecture analysis, troubleshooting, and research. * Develop responsible AI standards for data protection, secure prompting, model selection, human review, acceptable use, auditability, cost, and risk management. * Identify high-value AI use cases and define architecture patterns for AI integrations, including APIs, workflow automation, retrieval-augmented generation, enterprise knowledge connectors, and human-in-the-loop review., Up to 10% travel, based on business needs. While our roles are 100% remote, we do get together a few times a year for up to one week. Employees are given ample notice and attendance is expected. Work Environment This position operates in a professional work environment and requires the use of standard office equipment such as a computer, keyboard, mouse, webcam, and phone. Equal Opportunity / Affirmative Action Statement Staritas is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or veteran status. As a federal contractor, Staritas complies with all applicable federal, state, and local laws regarding nondiscrimination and affirmative action. 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