Cloudelligent Jobs Hiring Now
Cloudelligent is hiring for 6 open roles on Migrate Mate as of July 16, 2026, concentrated in AI (Artificial Intelligence) and cloud architecture. Migrate Mate updates Cloudelligent's live openings daily. Cloudelligent is a cloud services and consulting firm that designs and deploys AWS-based solutions for enterprise clients, with a focus on AI/ML workloads and cloud migration and modernization engagements.
Find Cloudelligent JobsOverview
Cloudelligent hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 6
- Top team
- AI (Artificial Intelligence)
- Seniority
- Across all levels
- Work type
- 100% remote or hybrid
- Top location
- Dallas
Open Roles at Cloudelligent
Showing 6 of 6+ Cloudelligent jobs
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.
- 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.
- AWS Certified Machine Learning – Specialty
- AWS Certified Solutions Architect – Associate or Professional
DQc6xoeY7I
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.
- 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.
- AWS Certified Machine Learning – Specialty
- AWS Certified Solutions Architect – Associate or Professional
DQc6xoeY7I
Job Roles at Cloudelligent
Working at Cloudelligent
Cloudelligent's 6 open roles are across all levels, and about 100% are remote or hybrid. The most active teams are AI (Artificial Intelligence), cloud architecture, and solutions architecture. Cloudelligent is a cloud services and consulting firm specializing in AWS architecture, including AI/ML infrastructure and cloud migration and modernization projects for enterprise clients. Roles typically require hands-on experience with AWS services, solution design, and client-facing delivery work. Most Cloudelligent roles are based in Dallas, with some in Austin and Tampa.
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Browse jobs by roleCloudelligent Jobs: Frequently Asked Questions
How many jobs is Cloudelligent hiring for right now?
Cloudelligent is hiring for 6 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in AI (Artificial Intelligence) and cloud architecture. Migrate Mate pulls Cloudelligent's live listings directly so the count reflects current openings, not cached postings.
What kinds of roles does Cloudelligent hire for?
The most active teams are AI (Artificial Intelligence), cloud architecture, and solutions architecture. Cloudelligent's open positions center on AWS solutions architecture, spanning specializations such as AI/ML infrastructure and cloud migration and modernization. Most postings are across all levels, meaning candidates are generally expected to bring substantial hands-on AWS experience and the ability to lead technical engagements independently.
Are Cloudelligent jobs remote or in-person?
Mostly remote. About 100% of Cloudelligent's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in Dallas. Each Cloudelligent listing shows its work location so you can filter before applying.
How do I apply to a job at Cloudelligent?
Find a Cloudelligent role on Migrate Mate and follow the listing through to Cloudelligent's own application portal. Cloudelligent manages its hiring directly, so all applications, interviews, and hiring decisions are handled by Cloudelligent's internal recruiting team. Migrate Mate keeps listings current so you're applying to roles that are actively open.
Does Cloudelligent hire entry-level?
Most of Cloudelligent's open roles on Migrate Mate are across all levels as of July 16, 2026. Check individual Cloudelligent listings for stated experience requirements.
Where is Cloudelligent hiring?
Most Cloudelligent roles are based in Dallas, with some in Austin and Tampa, and about 100% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.