Levio
digital transformation
AISolutionArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Solution Architect at Levio. Skills: AI Solution Architect, generative AI solutions, enterprise-grade AI, AWS SageMaker, AWS Bedrock. define, design, and lead the delivery of enterprise-grade AI and generative AI solutions. Lead end-to-end architecture of AI and generative AI solutions from use-case definition through production”
Industry & Context.
What They're Looking For.
Must Have
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, 4+ years delivering AI/ML solutions, 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, Ability to balance technical depth with business, risk, and regulatory considerations
Nice to Have
Experience with LLM platforms, RAG architectures, and AI agent systems, Familiarity with MLOps, model monitoring, and AI lifecycle management, Experience in regulated or enterprise environments, Consulting or client-facing solution architecture experience
What You'll Do.
and lead the delivery of enterprise-grade AI and generative AI solutions
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
Define reference architectures
and best practices for enterprise AI adoption
Evaluate and select AI platforms
and tools based on value
and cost considerations
Translate business requirements into clear solution designs
Architect AI solutions using AWS Bedrock and AWS SageMaker
Provide architectural oversight
and mentorship to delivery teams
and lifecycle practices into designs
How You'll Work.
Team & Collaboration
work alongside high-caliber professionals on ambitious, large-scale technology projects; Collaborate with experienced, multidisciplinary teams; Partner with business and executive stakeholders; Provide architectural oversight, design reviews, and mentorship to delivery teams
Full Job Description
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 Q
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