AI Solution Architect

Are you looking to thrive in a stimulating work environment?  

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.  

About the Role

We are seeking AI Solution Architect to define, design, and lead the delivery of enterprise-grade AI and generative AI solutions. This role bridges business strategy, solution architecture, and advanced AI technologies to ensure solutions are scalable, secure, compliant, and aligned with organizational objectives. The role will be remote. 

Why Join Levio?  

• Work on complex, high impact digital transformation projects  
• Collaborate with experienced, multidisciplinary teams  
• Continuously develop your technical and professional expertise  
• Enjoy flexibility, autonomy, and a strong people first culture  
• Be part of an organization that values diversity, inclusion, and innovation  

Role and Responsibilities 

• Lead end-to-end architecture of AI and generative AI solutions from use-case definition through production
• Design cloud-native AI architectures leveraging modern data, ML, and LLM platforms
• Define reference architectures, patterns, and best practices for enterprise AI adoption
• Evaluate and select AI platforms, foundation models, and tools based on value, risk, and cost considerations
• Partner with business and executive stakeholders to identify high-value AI opportunities
• Translate business requirements into clear solution designs, trade-offs, and roadmaps
• Architect AI solutions using AWS Bedrock and AWS SageMaker
• Ensure alignment with cloud governance, security, privacy, and compliance standards
• Provide architectural oversight, design reviews, and mentorship to delivery teams
• Embed responsible AI, risk management, monitoring, and lifecycle practices into designs

Qualifications and Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 8+ years of experience in solution architecture or senior technical roles, including 4+ years delivering AI/ML solutions
• Strong understanding of machine learning, generative AI, and LLM-based architectures
• Proven experience architecting AI solutions on AWS, including AWS SageMaker and AWS Bedrock
• Deep knowledge of cloud architecture, APIs, microservices, and event-driven systems