Senior Solution AZURE Architect - Azure WITH AI

The ideal candidate will have strong expertise across application, integration, data, cloud, platform, and security architecture, with hands-on experience designing secure, scalable enterprise solutions. The architect will provide technical direction to engineering teams and oversee solutions from design through implementation., * Own end-to-end solution architecture and design, from concept through implementation and delivery.

• Provide architectural leadership and technical direction to engineering and technical teams.
• Perform Buy vs. Build analysis, evaluating technical, qualitative, and quantitative factors.
• Lead architecture and design reviews, identify gaps, and recommend improvements.
• Analyze application portfolios and identify opportunities for optimization, simplification, and modernization.
• Lead Proofs of Concept (POCs) and technology deep-dives for new and partner technologies.
• Resolve technical roadblocks involving architecture, performance, scalability, and integration.
• Identify opportunities to reduce technical debt and technology costs.
• Design secure, scalable, highly available enterprise solutions.
• Collaborate with business, product, engineering, security, and infrastructure teams.

• 15+ years of software design/development experience.
• 2+ years of public cloud experience with Azure and/or Google Cloud Platform.
• Strong experience with SaaS/PaaS platforms, such as:
• Workday
• Oracle Cloud
• MuleSoft
• Boomi
• Oracle Integration Cloud (OIC)
• Strong expertise in:
• Application Architecture
• Data Architecture
• Integration Architecture
• Security Architecture
• Strong understanding of SQL, NoSQL, and cloud database technologies.
• Demonstrable hands-on technical experience.
• Experience with integration technologies connecting modern applications with legacy platforms, including Kafka.
• Proven experience in Enterprise Architecture and System Design.
• Strong knowledge of security frameworks and authentication technologies:
• SSO
• OAuth
• SAML
• OIDC
• Experience with Microservices Architecture and APIs.
• Strong understanding of container platforms and deployment patterns.
• Strong understanding of observability, including monitoring, logging, and tracing.
• Strong collaboration, communication, and problem-solving skills.
• Experience with planning, execution, delivery, and production support.

Preferred Qualifications

• Azure or Google Cloud Platform Architect certification.
• SaaS product certifications.
• Experience building AI-enabled applications and integrating with LLMs.
• Understanding of AI application implementation patterns and agent frameworks.
• Experience or exposure to process automation tools and technologies., * Bachelor’s degree preferred, or equivalent specialized training/professional experience.