Digital Solutions Architect

Job Purpose

The Digital Solutions Architect designs and delivers AI-powered and digital solutions that bridge business needs with modern technologies. This role translates product and client requirements into scalable, secure, and high-performing digital architectures. Working closely with Product, Technology, and Presales teams, the Digital Solutions Architect ensures successful adoption of AI, automation, and digital platforms across enterprise and client environments.

Duties & Responsibilities

·       Design and deliver AI-powered and digital solutions that address key business and client needs.

·       Translate business and product requirements into scalable, secure, and maintainable technical architectures.

·       Collaborate with data science, engineering, and product teams to develop, fine-tune, and deploy machine learning and AI models.

·       Collaborate with various team to build and demonstrate prototypes and proof-of-concept solutions to validate ideas and accelerate delivery.

·       Participate in client workshops, demos, and technical presentations to explain solution architecture and design.

·       Contribute to continuous improvement, knowledge sharing, and the adoption of new tools and best practices.

Education, Experience & Qualifications

·       Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.

·       5+ years of experience in software architecture, AI integration, or digital solution design.

·       Programming experience in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).

·       Experience with one or of the cloud platforms (AWS, Azure, or GCP) and MLOps/DevOps practices.

·       Solid understanding of API design, data integration, and automation workflows.

·       Exposure to enterprise-scale systems and solution architecture.

·       Excellent problem-solving and communication skills.

·       Proven ability to work collaboratively in cross-functional and client-facing environments.

·       Strong command of English, both written and spoken.

Behavioral Competencies

·       Initiative

·       Problem Solving

·       Team Oriented

·       Adaptability

·       Ability to Work Under Pressure

Technical Competencies

·       Solution architecture design and integration

·       AI and machine learning implementation

·       Cloud platforms (AWS, Azure, GCP) and MLOps

·       API design, data integration, and automation workflows

·       System scalability, security, and optimization