Vertical Relevance

Data Engineer

• Help customers shape their journey to adopting the cloud and provide our customers with technical and strategic guidance on their “cloud journey”.
• Consult, plan, design, and implement Data solutions on the cloud customers.
• Design AWS Data Lake implementations.
• Develop high-quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud.
• Innovate on behalf of customers and translate your thoughts into action yielding measurable results.

AWS Data Architect – Cloud Consultant

Artificial Intelligence

• Enable customers to solve complex data science problems, including problem framing, data preparation, scripting, model building, deployment, and monitoring.
• Design and implement ML/AI solutions using AWS ML Services.
• Deliver ML projects end-to-end: understand business needs, aggregate and explore data, build and validate predictive models, deploy models with drift monitoring and retraining.
• Utilize AWS AI services, ML platforms, and frameworks to build scalable ML models.
• Collaborate with consultants in Big Data, IoT, Chatbot's, and HPC to prepare and label data, and with engineers to operationalize models.
• Serve as a trusted technical advisor for clients.
• Develop high-quality technical content (automation tools, reference architectures, white papers).

AI Agentic/ML Cloud Consultant

Consultant

• Enable customers to solve complex data science problems – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption
• Consult, plan, design, and implement ML/AI solutions using AWS ML Services
• Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization
• Use AWS AI services, ML platforms, and frameworks to help our customers build ML models
• Work with our other consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our engineers to operationalize customers’ models after they are prototyped
• Become a deep technical resource that earns our customer's trust
• Develop high-quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud
• Innovate on behalf of customers and translate your thoughts into action yielding measurable results.
• Support solution development by conveying customer needs and feedback as input to technology roadmaps.
• Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings.
• Assist with technical briefs that document solutions
• Assist with reference architecture implementations
• Support internal and external brand development through thought leadership: Work with Marketing/Alliances to write blog posts
• Work with Marketing/Alliances to develop internal case studies

AWS Data Architect – Cloud Consultant

AI Agentic/ML Cloud Consultant

AWS ML Cloud Consultant