AWS Solutions Architect- AI​/ML

Position Title: AWS Solutions Architect - AI/ML

Employment Time: Full-Time

Location: Remote (up to 20% travel)

About Cloudelligent

Cloudelligent is a Cloud-native consultancy and AWS Advanced consulting partner that provides bespoke cloud solutions to Startups, SMBs, and enterprises. As a next‑gen cloud service provider, Cloudelligent helps businesses maximize their cloud investment with an international footprint and a diverse team of domain experts.

As an AWS Solutions Architect‑AI/ML at Cloudelligent, you will design and implement scalable, innovative cloud solutions that modernize legacy applications, build data pipelines, and integrate AI/ML to drive business transformation.

• Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS.
• Design and implement cloud solutions that integrate data engineering, Generative AI, and ML technologies.
• Lead technical presales discussions and collaborate with sales teams to design AI‑driven cloud solutions.
• Act as a trusted advisor, guiding clients through custom cloud architecture focused on scalability, security, and cost optimization.
• Lead deep‑dive architecture sessions with clients, proposing Well‑Architected solutions with data pipelines, cloud‑native frameworks, and modern tech for AI/ML.
• Define and implement cloud governance frameworks ensuring compliance with AWS and industry standards for data security and AI privacy.
• Collaborate with internal teams to ensure smooth knowledge transfer from pre‑sales to delivery.
• Implement advanced Generative AI use cases using AWS tools to automate processes and enhance customer service.
• Lead cloud migration initiatives focused on data modernization, app modernization, and multi‑region deployments.
• Stay updated with the latest developments in cloud technologies, Generative AI, data engineering, and ML to bring new insights.

• 8+ years designing, building, and operating solutions on AWS, with expertise in cloud modernization, data engineering, and AI/ML.
• Deep knowledge of cloud‑native patterns and AWS Well‑Architected best practices for modernization, data solutions, and AI/ML workloads.
• Experience with AWS services such as Amazon Sage Maker, Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
• Proven expertise in designing data pipelines, data lakes, and warehouses that support AI/ML.
• Strong migration experience: legacy to AWS using containers, serverless, and cloud‑native solutions.
• Proficiency with Terraform or Cloud Formation for automation and infrastructure management.
• Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance.
• Experience in pre‑sales and customer‑facing roles, translating business requirements into technical solutions.

• AWS Certified Machine Learning – Specialty
• AWS Certified Solutions Architect – Associate or Professional