RevStar · 17 hours ago
Solutions Architect
United States
Full-time
Remote
Mid, Senior LevelRevStar is a dynamic team of engineers, UX designers, and product managers committed to putting your business first in the pursuit of excellence. They are seeking a highly skilled and customer-focused Solutions Architect to provide technical leadership throughout the pre-sales lifecycle, specializing in AWS AI/ML, data platforms, and cloud migrations.
ConsultingInformation TechnologySoftware
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, and hybrid approaches
Database migrations (RDS, Aurora, DynamoDB, etc.)
Application and 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)
Clearly explain architectural tradeoffs, migration risks, and implementation options to both technical and non-technical stakeholders
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
Architect modern data platforms including batch and streaming pipelines, analytics layers, and visualization tooling
Ensure solution designs align with governance, security, compliance, and data residency requirements
Build AWS cost estimates using the AWS Pricing Calculator
Provide high-level implementation timelines and phased delivery plans, including migration sequencing
Identify cost drivers, scaling considerations, and optimization opportunities early in the sales cycle
Support proposal and SOW development by supplying:
Technical scope and migration assumptions
Dependencies, risks, and constraints
Provide technical inputs required for AWS funding requests (e.g., PoCs, migrations, credits) in coordination with Account Executive
Collaborate with delivery and engineering teams to validate feasibility, migration approach, and scope before deal close
Ensure clean handoff from pre-sales to delivery with documented architectures, migration plans, and assumptions
Share feedback on customer needs, technical trends, and emerging AWS services
Qualification
Required
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, including AI/ML, data platforms, and migration services
Experience designing or discussing: Cloud and application migrations, Data and database modernization, Analytics and AI/ML workloads
Excellent communication and presentation skills
Strong problem-solving skills with a customer-first mindset
Preferred
AWS certifications (Solutions Architect, GenAI, ML Specialty)
Experience supporting AWS migration programs or co-sell motions
Familiarity with CRM and opportunity tracking systems
Prior experience contributing to proposals, SOWs, or AWS funding submissions
Benefits
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, FSA, HSA, Short-Term & Long-Term Disability.
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, supportive environment that values curiosity and initiative.
Company
RevStar
RevStar helps organizations move from strategy to execution with clarity, speed, and confidence.
Founded in 2009
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Ken Pomella
Chief Executive Officer
Natalie Conkel
Partner Manager
Company data provided by crunchbase