Senior AI/ML Solutions Architect, ProServe

Amazon Web Services (AWS); Dallas (TX); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a Machine Learning Engineer for the ProServe team in Dallas to design, implement, and scale AI/ML solutions for customers, focusing on generative AI and real-world impact.

You will collaborate with stakeholders to architect secure, scalable models, run experiments, and deliver proof-of-concepts, guiding customers through AI transformations with best practices across the project lifecycle.

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience.
• Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence.
• Experience in defining and creating benchmarks for assessing GenAI model performance.
• Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders.

Responsibilities

• Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
• Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
• Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
• Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
• Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
• Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility

Skills

Cloud architecture

Machine learning

GenAI benchmarks

SDLC

Stakeholder communication

Job description

Amazon Web Services, Inc. is seeking a Machine Learning Engineer for the ProServe team in Dallas to design, implement, and scale AI/ML solutions for customers, focusing on generative AI and real-world impact.

You will collaborate with stakeholders to architect secure, scalable models, run experiments, and deliver proof-of-concepts, guiding customers through AI transformations with best practices across the project lifecycle.