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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Delivery Consultant - AI/ML, Professional Services - AWS Industries - **Company:** Amazon.com, Inc. - **Location:** Dallas, TX, United States - **Experience:** Experienced - **Salary:** $151,000.0 - $204,300.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Engineering, Computer Engineering, DevOps, Perl (Programming Language), Python (Programming Language), Machine Learning, Performance Tuning, Ruby, Azure Machine Learning, Software Engineering, Scripting, Deep Learning, Information Technology, Deployment Automation, Functional Programming, Recurrent Neural Networks, Programming Languages - **Published:** July 10, 2026 - **Apply:** https://dejobs.org/x/x/28E2A772AA5C4D9B93CA906F640C4773/job/ ## About the Role * Experience developing software code in one or more programming languages (java, python, etc.) * Bachelor's degree in computer science or equivalent * 3+ years of cloud architecture and solution implementation experience * 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences) Preferred Qualifications * Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 * Experience scripting for automation (e.g., Python, Perl, Ruby) * Knowledge of security and compliance standards including HIPAA and GDPR * Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders * Master's degree in computer science, computer engineering, or related field, or PhD * AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred * Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training ## Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries., As an experienced technology professional, you will be responsible for: * Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs * Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services * Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies * Acting as a trusted advisor to customers on industry trends and emerging technologies * Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Coffee with Developers: David Heinemeier Hansson](https://www.wearedevelopers.com/videos/875-coffee-with-developers-david-heinemeier-hansson) - [Building Systems that Last](https://www.wearedevelopers.com/videos/1389-building-systems-that-last) - [Hate organising your photos? Try it with 5 Terabytes](https://www.wearedevelopers.com/videos/79-hate-organising-your-photos-try-it-with-5-terabytes) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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