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Solutions Architect (AWS AI/ML, Data & Cloud Modernization)

RevStar
19 days ago
Full-time
Remote
Worldwide
Solutions Architect
  • Reports To: Sales Lead / CEO
  • Location: Remote (US-Based / Eastern or Central Time Zone Preferred)
  • Employment Type: Full-Time W2

Are you an expert AWS architect who loves running pre-sales discovery, designing cutting-edge GenAI/data platforms, and scoping cloud migrations—without the burden of carrying a sales quota? RevStar is an AI-first innovation shop and AWS Advanced Tier Partner building transformative cloud solutions for enterprise clients. We are seeking a customer-focused Solutions Architect to serve as our primary technical authority during the pre-sales lifecycle. Partnering directly with Account Executives and AWS field teams, you will validate use cases, architect Bedrock/SageMaker pipelines, build migration strategies, and calculate AWS cost models to accelerate deal velocity. Above all, the ideal candidate embodies RevStar’s core values:

Self-Mastery: We hold a high bar for how we think, communicate, and improve.

Ownership: We own outcomes, not just effort.

Shared Destiny: We rise or fall together.

Your Impact Pillars

Your technical leadership is organized into four core strategic pillars:

1. Pre-Sales Discovery & Customer Engagement

  • Lead technical discovery sessions to uncover customer requirements, existing 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.

2. Modern Architecture & Migration Strategy

  • Design Well-Architected AWS reference diagrams covering GenAI (Bedrock, SageMaker, RAG, agentic workflows) and modern data platforms.
  • Define cloud migration and database modernization strategies (RDS, Aurora, DynamoDB) using rehost, replatform, or refactor frameworks.
  • Evaluate implementation risks, application sequencing, and security/compliance standards (HIPAA, SOC2).

3. SOW Development & AWS Pricing

  • Build accurate AWS cost estimates utilizing the AWS Pricing Calculator to highlight optimization opportunities early.
  • Draft technical scopes, implementation timelines, and delivery assumptions for Statements of Work (SOWs) and client proposals.
  • Provide technical inputs required for AWS funding programs (PoCs, MAP credits) alongside Account Executives.

4. Handoff & Delivery Alignment

  • Collaborate with internal engineering teams prior to deal close to ensure solution feasibility and delivery alignment.
  • Conduct seamless technical handoffs to delivery teams with fully documented architectures, migration assumptions, and risk logs.
What You Bring
    • Experience: 5+ years in a Solutions Architect, Pre-Sales Consultant, or Cloud Architect role within a consulting environment.
    • AWS Mastery: Deep expertise across AWS services, specifically AI/ML (Bedrock, SageMaker), data platforms (Redshift, Glue), and migration services.
    • Presales Capabilities: Proven ability to build SOWs, calculate AWS pricing models, and communicate complex architectural tradeoffs to executive stakeholders.
    • Certifications (Preferred): Active AWS Certified Solutions Architect (Professional) or AWS Machine Learning Specialty.

Benefits for Full-Time W2 Positions:

    • Paid Time Off – Take the time you need to recharge and stay productive.
    • Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team.
    • Comprehensive Health Coverage – Medical, Dental, Vision
    • 401(k) Retirement Plan – Plan for your future with access to a company-sponsored 401(k) program.
    • Annual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses.
    • Peer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth.
    • Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.
    • Company Outings & Volunteer Opportunities – Build relationships and give back to the community.
    • Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supp