Senior AI/ML Solutions Architect, ProServe

Amazon Web Services (AWS); Jersey City (NJ); On-site; USD 169,000 - 229,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a Machine Learning Engineer for AWS ProServe to design, evangelize, implement, and scale AI/ML solutions for customers.

You will work directly with clients to scope use cases, train and fine-tune models, and navigate technical and business challenges. You will architect complex, secure ML solutions, run experiments, and collaborate with stakeholders to deliver high-value AI projects at scale, while leveraging GenAI best practices and cost-efficient approaches

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.
• 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
• 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

Software engineering

GenAI benchmarks

Stakeholder communication

AWS services

Performance optimization

Pre-sales communication

Project management

Tools

AWS services

Serverless technologies

Job description

Amazon Web Services, Inc. is seeking a Machine Learning Engineer for AWS ProServe to design, evangelize, implement, and scale AI/ML solutions for customers.

You will work directly with clients to scope use cases, train and fine-tune models, and navigate technical and business challenges. You will architect complex, secure ML solutions, run experiments, and collaborate with stakeholders to deliver high-value AI projects at scale, while leveraging GenAI best practices and cost-efficient approaches