Location: Remote

Reports to: Director of Professional Services

The world is changing and demanding software technology solutions that enable businesses to build and scale new data-first solutions and products in the market. 

At Innovative, we are focused on helping every customer become a technology company, which means a key focus on Data, Machine Learning (ML), and Generative AI (GenAI). We are seeking a data-first Cloud Architect that will be responsible for guiding customers and internal teams to the next frontier on their technological journey by developing their Data/ML plans and strategies. 

Job Overview:

As a Cloud Architect at Innovative Solutions, you will be a key technical resource, responsible for helping our customers successfully utilize AWS (Amazon Web Services) data tools to grow their businesses and create new revenue streams. You will have a deep understanding of AWS data, ML, and Generative AI services as well as common third-party data and ETL tools. 

Responsible for:

-Engage with customers to understand their current state, and design data and analytics solutions that will meet their requirements

-Create and deliver detailed Data and ML plans, including timelines, cost estimates, and detailed technical guidance for the customer

-Provide guidance on best practices for using AWS Data and ML services such as Glue, SageMaker, Bedrock and how they can be integrated with the customer's existing stack

-Stay up to date with new AWS services and features and be able to articulate their value to customers

-Act as an organizational consultant to customers, guiding them on how cloud technologies will transform their business

-Provide technical guidance to other members of the Innovative Solutions teams

-Develop procedures and standards for the AWS Data and ML Practice for the Innovative Technical Sales Engineering team

-Work with the Innovative Product team to refine and create new products and service offerings for the market

How you will be successful:

-Innate ability to understand customer need and pain points 

-Strong aptitude for modern data architecture 

-Having a backbone and strong will to get things done 

-Natural customer obsession and ability to empathize with customer’s business needs 

-Ability to participate in and lead crucial conversations with customers, partners, and internal stakeholders 

How will your success be measured :

-Customer Satisfaction 

-Delivering projects on time and within budget 

-Continuous learning, measured by attainment of additional AWS certifications. 

What experience you need:

-Experience with Prompt Engineering, Fine-Tuning, and AI/ML vendors such as OpenAI, Anthropic, and or Cohere. 

-5 years of experience in a delivery role at a cloud consulting or cloud managed services provider. 

-Experience using the Amazon Web Services platform. 

-Understanding of core AWS data and analytics services such as RDS, S3, Redshift, Glue, Quicksight, Athena, Kinesis. 

-Understanding of IBM services Watson X, Watson X Assistant, Data Stage preferred 

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