Software Architect

Job Description

Job Description

Salary:

Who We Are

CXAPP is a forward-thinking technology company that leverages AI and data science to drive innovation and deliver cutting-edge solutions. At CXApp, we are the innovators of Indoor Intelligence, delivering actionable insights for people, places and things. Our flagship product CXAI (formerly CXApp) is a workplace experience platform for the enterprise. Our technologies and solutions help enterprise customers deliver a comprehensive business journey in a work from-anywhere world for employees, partners, customers, and visitors.

We take pride in the way we positively impact the daily lives of our customers and continue to push the boundaries of how our platform can benefit others.

Job brief

We are seeking an experienced Software Architect to join our team. Enterprise Software Architect, AI/Analytics, Scalability is responsible for the design, development, and implementation of the company's software architecture, with a focus on artificial intelligence, analytics, and scalability. This includes working with business stakeholders to understand their needs, designing and implementing solutions that meet those needs, and ensuring that the company's software architecture is aligned with its business goals.

Responsibilities:

• Architectural Design: Lead the design and development of enterprise software solutions, considering AI, AR, analytics, and scalability requirements. Create architectural blueprints, system models, and technical documentation that guide the development process.
• AI and Analytics Expertise: Apply your deep understanding of artificial intelligence, machine learning, data mining, and predictive analytics to architect intelligent software solutions. Leverage data-driven insights to drive decision-making and deliver value to end-users.
• Augmented Reality Integration: Design software architectures that seamlessly integrate augmented reality technologies, enabling immersive and interactive experiences for enterprise applications. Collaborate with AR experts and development teams to implement AR functionalities effectively.
• Scalability and Performance Optimization: Define software architectures and design principles that ensure high scalability, performance, and responsiveness. Consider horizontal and vertical scaling, load balancing, caching mechanisms, and distributed computing techniques to accommodate large-scale data processing and user demands.
• Cloud and Hybrid Environments: Architect solutions that are cloud-ready and can operate in hybrid environments. Leverage cloud technologies, microservices, and containerization to enable seamless deployment and scalability in cloud and on-premises infrastructures.
• Integration and Interoperability: Define integration strategies and API designs to enable seamless connectivity with external systems, data sources, and services. Ensure interoperability and compatibility with existing enterprise systems and platforms.
• Security and Privacy Considerations: Collaborate with security experts to design robust security measures, including data encryption, access controls, authentication, and vulnerability management. Ensure compliance with privacy regulations and industry standards.
• Research and Innovation: Stay updated with emerging trends, technologies, and best practices in AI, AR, analytics, and scalability domains. Conduct research, evaluate new tools and frameworks, and propose innovative solutions to enhance software functionality and performance.
• Collaboration and Leadership: Collaborate with cross-functional teams, including developers, data scientists, UI/UX designers, and product managers. Provide technical leadership, mentorship, and guidance to ensure the successful implementation of software solutions.
• Continuous Improvement: Foster a culture of continuous improvement by establishing development standards, code reviews, and performance optimization techniques. Drive the adoption of DevOps practices, automation, and CI/CD pipelines to enhance software development processes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Proven experience as a software architect, with a focus on AI, AR, analytics, and scalability.
• Strong expertise in AI technologies, machine learning algorithms, data analytics, and visualization tools.
• Experience with AR development frameworks, such as ARKit, ARCore, or Vuforia.
• Proficiency in scalable software architecture design, cloud computing, microservices, and containerization.
• Solid understanding of security principles, privacy regulations, and compliance requirements.
• Knowledge of integration technologies, such as RESTful APIs, messaging queues, and ETL processes.
• Excellent problem-solving skills and the ability to design and deliver high-quality software solutions.
• Strong leadership and communication skills, with the ability to collaborate effectively across teams and stakeholders.
• Experience with Agile development methodologies and DevOps practices