Senior AI/ML Solutions Architect for ProServe

Amazon Web Services (AWS); New York (NY); On-site; USD 169,000 - 229,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

AWS ProServe seeks a Machine Learning Engineer to design, evangelize, implement, and scale AI/ML solutions for customers. You will work directly with clients to scope use cases, select and train models, and drive GenAI initiatives that deliver measurable business value.

You will lead experiments, assess data infrastructure, and collaborate with stakeholders to ensure secure, scalable deployments that align with client objectives and ROI.

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.
• 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.

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

GenAI benchmarks

ML model training

Software engineering best practices

Stakeholder communication

Experimentation

Data analysis

Tools

AWS services

Job description

AWS ProServe seeks a Machine Learning Engineer to design, evangelize, implement, and scale AI/ML solutions for customers. You will work directly with clients to scope use cases, select and train models, and drive GenAI initiatives that deliver measurable business value.

You will lead experiments, assess data infrastructure, and collaborate with stakeholders to ensure secure, scalable deployments that align with client objectives and ROI.