AI Summary
Design and implement scalable cloud solutions for clients, focusing on cloud modernization, data engineering, and AI/ML integration. Lead technical presales discussions, architecture sessions, and cloud migration initiatives across multiple regions. Requires 8+ years of AWS experience with strong expertise in Generative AI, data pipelines, and cloud-native patterns.
Key Highlights
AWS Solutions Architect - AI/ML
8+ years AWS experience
Generative AI and data engineering expertise
Cloud migration and modernization
Key Responsibilities
Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency.
Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning technologies to enhance business operations, customer experiences, and automation.
Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions leveraging AI, data, and modernization strategies.
Act as a trusted advisor, guiding clients through design and implementation of custom cloud architecture meeting business goals with focus on scalability, security, and cost optimization.
Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions including data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications.
Define and implement cloud governance frameworks ensuring compliance with AWS security policies, industry standards, and best practices for data security, AI privacy, and regulatory compliance.
Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, setting clear project goals, timelines, and expectations.
Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making.
Lead cloud migration initiatives focusing on data modernization, app modernization, and multi-region deployments for seamless transitions to cloud environments.
Stay up to date with latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to internal teams and client solutions.
Technical Skills Required
Benefits & Perks
Full-Time
Fully remote
Nice to Have
AWS Certified Machine Learning – Associate
AWS Certified Gen AI Developer – Professional
AWS Certified Solutions Architect – Associate or Professional
Job Description
Position Title: AWS Solutions Architect- AI/ML
Employment Time: Full-Time
This Is a fully remote position with travel required.
About Cloudelligent
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
As an AWS Solutions Architect- AI/ML at Cloudelligent, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and develop cloud architectures using AWS technologies.
Responsibilities
- Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency.
- Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation.
- Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that leverage AI, data, and modernization strategies.
- Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture that meet their business goals, with a focus on scalability, security, and cost optimization.
- Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions that include data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications.
- Define and implement cloud governance frameworks to ensure compliance with AWS security policies, industry standards, and best practices for data security, AI privacy, and regulatory compliance.
- Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, ensuring project goals, timelines, and expectations are clearly set.
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- Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making.
- Lead cloud migration initiatives, focusing on data modernization, app modernization, and multi- region deployments to ensure seamless transitions to cloud environments.
- Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to both internal teams and client solutions.
- 8+ years of experience designing, building, and operating solutions on AWS, with strong expertise in cloud modernization, data engineering, and AI/ML architecture.
- Strong understanding of cloud-native patterns and AWS Well-Architected best practices, particularly for modernization, data solutions, and AI/ML workloads.
- Experience with cloud services: Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
- Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML and modern business needs.
- Proven experience migrating legacy applications to AWS, leveraging containers (Docker, ECS, EKS), serverless technologies, and cloud-native architectures.
- Proficiency with Terraform or CloudFormation for automating cloud deployments and infrastructure management.
- Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance.
- Strong experience in pre-sales and customer-facing roles, helping clients translate business requirements into technical solutions and building strong, long-term relationships.
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- AWS Certified Machine Learning – Associate
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