Solution Architect – AI Business

About the Role

The Solution Architect – AI Business will be responsible for designing and delivering scalable AI and digital solutions aligned with business objectives and enterprise architecture standards. This role will work closely with business stakeholders, engineering teams, cloud providers, and external partners to define end-to-end technical solutions supporting AI transformation initiatives.

Responsibilities

• Design end-to-end AI and digital solution architectures based on business and operational requirements.
• Collaborate with internal stakeholders to translate business needs into scalable technical solutions.
• Lead technical discussions with customers, vendors, and strategic partners regarding AI solutions and platform capabilities.
• Develop architecture diagrams, technical proposals, solution blueprints, and implementation roadmaps.
• Evaluate emerging technologies, AI platforms, cloud services, and infrastructure solutions to support business growth.
• Support pre-sales activities including technical presentations, solution demonstrations, and proof-of-concept initiatives.
• Ensure system scalability, cybersecurity, reliability, and integration standards are maintained.
• Coordinate with development, infrastructure, cybersecurity, and operations teams during implementation phases.
• Provide technical governance and architecture guidance throughout project lifecycles.
• Support AI business initiatives related to cloud, data analytics, machine learning, automation, and enterprise applications.

Qualifications

• Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Information Technology, or related field.
• Minimum 5–8 years of experience in Solution Architecture, Enterprise Architecture, Cloud Solutions, or related technical roles.
• Strong understanding of AI/ML platforms, cloud infrastructure, APIs, data architecture, and enterprise systems integration.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of AI technologies including LLMs, machine learning workflows, data pipelines, and automation solutions is preferred.
• Familiarity with containerization, microservices architecture, and DevOps practices.
• Strong stakeholder management and communication skills.
• Ability to manage multiple projects and work in a fast-paced environment.
• Professional certifications in cloud or architecture frameworks would be an advantage.

Preferred Skills

• Experience in AI business, digital transformation, or data center environments.
• Knowledge of cybersecurity and enterprise governance standards.
• Experience supporting enterprise clients or large-scale infrastructure projects.
• Strong analytical and problem-solving capabilities.