AWS Solutions Architect- AI/ML

CloudelligentDallas, TX

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Overview

Schedule

Full-time

Career level

Senior-level

Remote

Benefits

Career Development

Job Description

Position Title: AWS Solutions Architect- AI/MLEmployment Time: Full-TimeThis Is a fully remote position with travel required.About CloudelligentCloudelligent 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 ObjectiveAs 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.

Requirements

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.

Highly Preferred

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

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FAQs About AWS Solutions Architect- AI/ML Jobs at Cloudelligent

What is the work location for this position at Cloudelligent?

This job at Cloudelligent is located in Dallas, TX, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.

What pay range can candidates expect for this role at Cloudelligent?

Employer has not shared pay details for this role.

What employment applies to this position at Cloudelligent?

Cloudelligent lists this role as a Full-time position.

What experience level is required for this role at Cloudelligent?

Cloudelligent is looking for a candidate with "Senior-level" experience level.

Does Cloudelligent allow remote work for this role?

Yes, this position at Cloudelligent supports remote work, giving candidates the flexibility to work outside the primary office location.

What benefits are offered by Cloudelligent for this role?

Cloudelligent offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.

What is the process to apply for this position at Cloudelligent?

You can apply for this role at Cloudelligent either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.