Solutions Architect - AWS AI/ML & Data Platforms
New
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RevStarCloud Solutions
Florida, United States. Arizona, United States. Texas, United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- AWSRedshiftAWS LambdaGenerative AI
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
- Proven experience in a Solutions Architect, Technical Architect, Pre-Sales Consultant, or consulting role
- Strong understanding of AWS cloud services
- Experience with AWS AI/ML, data platforms, and migration services
- Experience designing or discussing cloud and application migrations
- Experience designing or discussing data and database modernization
- Experience designing or discussing analytics and AI/ML workloads
- Excellent communication and presentation skills
- Strong problem-solving skills with a customer-first mindset
- AWS certifications (Solutions Architect, GenAI, ML Specialty) (Preferred)
- Experience supporting AWS migration programs or co-sell motions (Preferred)
- Familiarity with CRM and opportunity tracking systems (Preferred)
- Prior experience contributing to proposals, SOWs, or AWS funding submissions (Preferred)
Responsibilities
- Lead technical discovery sessions to understand customer requirements, existing environments, constraints, and success criteria
- Act as the technical authority during customer meetings, addressing questions related to AWS AI, ML, GenAI, data platforms, and migrations
- Translate business and modernization objectives into technical requirements and high-level solution designs
- Partner with Account Executives during AWS co-sell motions to validate use cases, migration paths, and technical fit
- Serve as a trusted technical advisor to customers throughout the pre-sales process
- Design reference architectures aligned with AWS Well-Architected Framework principles
- Define cloud migration and modernization strategies, including rehost, replatform, refactor, hybrid approaches, database migrations, and application/data migration sequencing
- Create clear, reusable architecture diagrams covering AI/ML and GenAI pipelines, Agent-based systems, Data lakes and analytics platforms, Application, database, and infrastructure migrations
- Select and justify appropriate AWS services (e.g., S3, Glue, Redshift, Bedrock, SageMaker, Lambda, ECS/EKS, DMS)
- Scope AI and ML solutions including data ingestion, feature engineering, training, inference, and MLOps workflows
- Design Generative AI architectures using AWS services such as Bedrock, SageMaker, vector databases, and RAG patterns
- Build AWS cost estimates using the AWS Pricing Calculator
- Support proposal and SOW development by supplying technical scope and migration assumptions, dependencies, risks, and constraints
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