Job Description
Solution Architect (Enterprise Applications / Azure / AI)
Job Summary
Seeking an experienced Solution Architect to join a team and play a pivotal role in supporting and evolving enterprise application platforms within a complex, production environment. This position offers a unique blend of hands-on technical work and high-level architecture, requiring close collaboration with development teams to design scalable, high-performing solutions. If you are passionate about leveraging cutting-edge technologies, including Azure cloud services and AI-enabled architectures, to drive innovation and efficiency, we encourage you to apply.
Compensation Package
- Competitive salary commensurate with experience
- Comprehensive benefits package, including health, dental, and vision insurance
- Generous paid time off and holiday schedule
- Professional development opportunities and training programs
Responsibilities
- Design, develop, and enhance enterprise application solutions across multiple platforms.
- Ensure system performance, stability, and scalability through ongoing optimization efforts.
- Lead and participate in code reviews, design sessions, and architecture discussions.
- Manage application upgrades, patching, and release cycles to ensure seamless operations.
- Troubleshoot complex production and development issues, including conducting root cause analysis.
- Create and maintain technical documentation, including architecture diagrams, integration plans, and disaster recovery strategies.
- Collaborate with internal teams and third-party vendors to support system improvements and enhancements.
- Provide technical leadership, mentorship, and best practice guidance to engineering teams.
Qualifications/Requirements
- A minimum of 8 years of experience in application development or software engineering.
- Strong expertise in enterprise platforms and system integrations.
- Proficiency in technologies such as .NET, C#, SQL, and modern development tools.
- Hands-on experience with Azure cloud services and exposure to AI-enabled architectures.
- Familiarity with DevOps tools, including Azure DevOps, CI/CD pipelines, and testing tools.
- In-depth understanding of the software development lifecycle and architectural best practices.
- Excellent communication skills, with the ability to effectively engage both technical and non-technical stakeholders.
Preferred Qualifications
- Experience with enterprise platforms such as BPM, integration tools, or document management systems.
- Exposure to AI governance frameworks or enterprise AI implementations.
- Background in highly regulated industries such as insurance or financial services.
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