Software Solutions Architect

Position Summary 

The Software Solutions Architect will lead the design and architecture of complex, mission-critical, enterprise applications. This role involves working with a moderately sized team in a fast-paced environment and creating foundational architecture for multiple projects. The ideal candidate will also bring expertise in Artificial Intelligence (AI) and Machine Learning (ML) integration, ensuring modern, intelligent solutions are embedded into enterprise applications. 

Responsibilities & Accountabilities 

• Design and document major aspects of product architecture, including user interface, middleware, infrastructure, and AI components. 

• Establish and maintain uniform enterprise-wide application design standards. 

• Collaborate with stakeholders to align architecture with business requirements and AI-driven strategies. 

• Act as point of contact for technical product demonstrations, including AI-enabled features. 

• Provide technical feasibility and proof of concepts, incorporating AI/ML models where applicable. 

• Develop and present application/product architecture and approved changes to project leadership. 

• Provide technical direction and leadership to development teams, including AI integration guidance. 

• Ensure technical implementation aligns with system designs through design and code reviews. 

• Align all RJLG software products for enterprise offerings, including AI capabilities. 

• Perform software development tasks and defect fixing as needed. 

• Recommend and lead areas for process improvements, including automation and AI-driven optimizations. 

• Follow ISS and RJLG company standards, values, processes, and procedures. 

• Mentor team members on emerging technologies, including AI/ML frameworks and best practices. 

• Other miscellaneous tasks as an ISS team contributor. 

Minimum Qualifications Required 

Education: 

Bachelor’s degree in Computer Science or relevant field. Advanced degree or certifications in AI/ML preferred. 

Experience: 

• 8+ years of experience in R&D and implementing enterprise-wide, distributed, data-centric applications. 

• 5+ years of experience in developing web applications in an agile environment using React, C#, JavaScript/TypeScript, Webservices, Python, SQL, NoSQL/Graph databases. 

• 3–5 years building applications utilizing cloud-based AWS and/or MS Azure technologies and services. 

• 2+ years of experience with AI/ML technologies, including model development, deployment, and integration into enterprise applications. 

Knowledge, Skills, & Abilities: 

• High-level technical expertise with strong planning, coordination, leadership, and communication skills. 

• Strong understanding of object-oriented design and AI/ML concepts (e.g., supervised/unsupervised learning, NLP, predictive analytics). 

• Familiarity with AI frameworks such as TensorFlow, PyTorch, or Azure AI services. 

• Knowledge of CI/CD processes and tools (Bitbucket, SVN, Puppet, Chef, Octopus). 

• Strong problem-solving skills and ability to think creatively, including applying AI to business challenges. 

• Ability to communicate technical concepts, including AI strategies, to diverse audiences. 

• Team-oriented, positive attitude, and ability to mentor others in emerging technologies.