Senior Solution Architect – Data, ML and AI
Reports to: Head of Professional Services
Function: Operations
Location: US-Remote-Central Timezone Preferred
Updated: April 29, 2025
Role Purpose
The Senior Solution Architect – Data, ML & AI is a strategic, customer-facing role responsible for designing and delivering end-to-end data and AI solutions on AWS. This individual will focus on transforming raw data into scalable, intelligent systems using services like SageMaker, Glue, Redshift, and Lake Formation. Acting as a trusted advisor, this architect bridges business challenges with technical innovation—bringing cloud-native data architecture, machine learning, and pre-sales strategy together to create real impact.
Key Responsibilities
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Lead pre-sales engagements by understanding customer needs and proposing data and AI-driven solutions.
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Architect end-to-end data pipelines, including data lakes, warehouses, and real-time streams.
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Design and implement machine learning workflows from feature engineering to deployment and monitoring.
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Utilize AWS services such as SageMaker, Glue, Lambda, Fargate, Redshift, and Lake Formation.
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Drive data governance, security, and compliance best practices in all architectures.
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Collaborate cross-functionally with data engineers, analysts, and DevOps teams.
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Define and implement MLOps pipelines for model lifecycle management.
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Contribute to proposals, estimates, and technical presentations for customer engagements.
Proficiencies, Skills, Experience and Traits
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Minimum 5 years of relevant experience in data architecture, machine learning, or AI solution delivery.
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Proven track record of delivering ML solutions in production using Python and AWS tools.
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Deep understanding of data engineering concepts including data lakes, ETL pipelines, feature engineering, governance, and metadata management.
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Hands-on experience with AWS services such as SageMaker, Glue, Redshift, Lake Formation, Lambda, and Fargate.
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Familiarity with MLOps pipelines, model versioning, monitoring, and CI/CD best practices.
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Experience supporting pre-sales engagements, technical discovery, and customer solutioning.
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Comfortable presenting technical concepts to both technical and non-technical stakeholders.
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Awareness of Generative AI (GenAI) trends and how they apply to modern data and AI solutions.
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Preferred: Experience with AWS CDK, Terraform, Kinesis, Kafka, and feature stores.
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Holds or is pursuing AWS certifications (e.g., Machine Learning – Specialty, Solutions Architect – Professional).
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Strategic thinker, highly collaborative, and proactive in finding and solving complex challenges.
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Passionate about data-first approaches and continuous learning in the AI/ML and cloud space.
Please Note: The above statements are intended to describe the general nature and level of work being performed by individuals assigned to the Technical Program Manager position. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. ScaleCapacity and its leadership reserve the right to modify, add, or remove duties as necessary based on business needs.