Solution Architect

The company is seeking an experienced Solution Architect with a strong background in Java, enterprise architecture, and AI technologies to join our team in Riyadh. In this strategic role, you will lead the design and implementation of scalable, innovative enterprise solutions, integrating cutting-edge AI capabilities to drive business transformation. The ideal candidate will possess a deep understanding of software development, infrastructure, cloud solutions, and enterprise frameworks, enabling impactful and future-ready architectures.

Key Responsibilities

• Design and implement end-to-end solutions leveraging Java, Spring Framework, and modern frontend technologies (Angular/React) aligned with business needs.
• Collaborate with stakeholders to gather requirements and define architectural approaches for scalable and secure solutions.
• Lead architectural reviews, providing technical guidance and ensuring adherence to best practices across development teams.
• Drive SDLC best practices, ensuring high-quality and efficient development processes.
• Define and oversee infrastructure and network architecture to support reliable, scalable, and secure applications.
• Utilize AWS cloud services to develop cost-effective, highly available, and resilient solutions.
• Integrate AI/ML functionalities into enterprise applications, enhancing capabilities in NLP, predictive analytics, automation, and more.
• Evaluate and incorporate AI frameworks and tools such as TensorFlow, PyTorch, AWS SageMaker, or Google AI.
• Establish and maintain enterprise architecture aligned with business objectives, leveraging TOGAF principles.
• Ensure compliance with enterprise standards, governance, security protocols, and industry best practices.
• Stay abreast of emerging industry trends, new technologies, and best practices in enterprise architecture, AI, and software development.

Required Qualifications & Skills

• Education: Bachelor’s degree in Computer Science, Information Technology, or related field; Master’s preferred.
• Certifications: AWS Solution Architect Certified (Associate or Professional), TOGAF Certification.
• Experience: 15+ years in software development, enterprise architecture, and solutions design.
• Proficient in Java, Spring & Spring Boot for backend development, with experience in Angular/React for frontend.
• Strong knowledge of infrastructure, networking, and cloud architecture (AWS preferred).
• Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, AWS SageMaker, or Google AI.
• Proven track record of delivering large-scale enterprise solutions and leading cross-functional teams.
• Expertise in SDLC, architecture frameworks, and technology strategy alignment.
• Excellent problem-solving, analytical, and communication skills.
• Ability to mentor, guide teams, and work collaboratively across departments.

Preferred Attributes

• Deep understanding of AI/ML integration within enterprise architecture.
• Experience with automation, predictive analytics, NLP, and related AI domains.
• Familiarity with microservices, containerization, and DevOps practices.
• Knowledge of enterprise governance, security standards, and compliance protocols.

Why Join Us?
Be part of a leading global organization driving innovation in enterprise solutions and AI. Work on impactful projects that shape the future of industries in the Middle East and beyond. This is your opportunity to lead technological transformation and influence decision-making at the highest levels.

Diversity & Inclusion Statement
Diversity & Inclusion are fundamental to our culture, and we are proud to be an equal opportunity workplace and an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We encourage applicants from diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to any characteristic protected by law.