Solutions Architect – AWS AI/ML, Data & Cloud Modernization

Job not on LinkedIn

🕒 August 20

🌐 United States, Germany, +1 more countries – Remote

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🤠 Texas, Virginia, +1 more states – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 28%

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RevStar

51 - 200 employees

Founded 2018

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

RevStar is a digital transformation and innovation consultancy that helps organizations move from vision to execution by combining strategic clarity with technical execution. They offer services including strategic growth roadmaps, modern customer journey design, GenAI/AI action plans, data infrastructure, product testing and MVP sprints, and modernization roadmaps. RevStar emphasizes practical, outcomes-driven innovation and partners with leaders in healthcare, insurance, and finance to solve mission-critical challenges.

📋 Description

• Lead technical discovery sessions to uncover customer requirements, infrastructure constraints, and modernization goals • Serve as the trusted technical authority in client meetings, articulating architectural tradeoffs across AWS GenAI, data, and cloud migrations • Partner with Account Executives on AWS co-sell motions to validate technical fit, scope use cases, and build client trust • Design Well-Architected AWS reference diagrams covering GenAI, modern data platforms, and agentic workflows • Define cloud migration and database modernization strategies using rehost, replatform, or refactor frameworks • Evaluate implementation risks, application sequencing, and security/compliance standards • Build AWS cost estimates using the AWS Pricing Calculator and identify optimization opportunities • Draft technical scopes, implementation timelines, and delivery assumptions for SOWs and client proposals • Provide technical inputs for AWS funding programs alongside Account Executives • Collaborate with internal engineering teams to ensure solution feasibility and delivery alignment • Conduct technical handoffs to delivery teams with documented architectures, migration assumptions, and risk logs

🎯 Requirements

• 5+ years in a Solutions Architect, Pre-Sales Consultant, or Cloud Architect role within a consulting environment • Deep expertise across AWS services, specifically AI/ML (Bedrock, SageMaker), data platforms (Redshift, Glue), and migration services • Proven ability to build SOWs, calculate AWS pricing models, and communicate complex architectural tradeoffs to executive stakeholders • Active AWS Certified Solutions Architect (Professional) or AWS Machine Learning Specialty preferred

🏖️ Benefits

• Paid Time Off • Remote-First Working Environment • Comprehensive Health Coverage – Medical, Dental, Vision • 401(k) Retirement Plan • Annual Learning & Development Stipend • Peer Mentorship & Coaching • Professional Growth Opportunities • Company Outings & Volunteer Opportunities • Collaborative, Innovative Culture

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