Summary

RevStar is a dynamic team of engineers, UX designers, and product managers committed to putting your business first in the pursuit of excellence. As an AWS Advanced Partner, we deliver cloud-native web and mobile applications, building modern data and AI solutions that drive tangible value for our clients.

We are passionate about what we build and how we build it. Our ethos is guided by Service, Collaboration, Transparency, Accountability, and Quality - principles that underpin every role, from architecture and design to coding and delivery. We approach each project with an agile mindset, continuously analyzing goals and business needs to ensure optimal outcomes.

At RevStar, our people are our greatest resource. We foster a collaborative, remote-first culture where teams freely share ideas, innovate together, and grow both individually and collectively. By joining us, you’ll have the opportunity to work with cutting-edge technologies across diverse industries, delivering value-driven products for clients who prioritize quality and performance. We believe in the pursuit of better, not just in cloud-native app development, but in creating meaningful experiences and outcomes that matter.

We are seeking a highly skilled and customer-focused Solutions Engineer to support our sales and partnerships teams by providing technical leadership throughout the pre-sales lifecycle. This role specializes in AWS AI/ML and data platform solutions and works closely with customers, internal delivery teams, and AWS partner stakeholders to scope, architect, and validate solutions aligned with AWS best practices.

The Solutions Engineer bridges sales and delivery by translating business requirements into scalable technical architectures, developing high-level implementation plans and cost estimates, and clearly communicating tradeoffs, timelines, and implementation approaches. This role plays a critical part in accelerating deal velocity while ensuring solutions are feasible, secure, and commercially sound.

Role and Responsibilities

Pre-Sales & Customer Engagement

• Support sales cycles by leading technical discovery sessions, solution scoping, and architecture discussions

• Act as the technical lead during customer meetings, confidently addressing questions related to AWS AI, ML, and data services

• Translate business objectives into technical requirements and high-level solution designs

• Partner with AWS field teams in co-sell motions, including opportunity validation and solution alignment

• Serve as a trusted technical advisor to customers throughout the pre-sales process

AWS Architecture & Solution Design

• Design reference architectures following AWS best practices for security, scalability, reliability, and cost optimization

• Create clear architecture diagrams covering AI/ML pipelines, data lakes, analytics platforms, and application integrations

• Select and justify appropriate AWS services (e.g., S3, Glue, Redshift, Bedrock, SageMaker, Lambda, ECS/EKS) based on customer use cases

• Explain architectural tradeoffs and implementation options to both technical and non-technical stakeholders

AI, ML & Data Expertise

• Scope AI and ML solutions including data ingestion, feature engineering, model training, inference, and MLOps workflows

• Advise on Generative AI architectures using AWS services such as Bedrock, SageMaker, vector databases, and Retrieval-Augmented Generation (RAG) patterns

• Design modern data platforms including data lakes, analytics pipelines, and batch or streaming processing solutions

• Ensure solution designs align with governance, security, and compliance best practices

Costing, Estimation & Planning

• Build AWS cost estimates using the AWS Pricing Calculator

• Provide high-level implementation timelines, phased delivery plans, and effort estimates

• Identify key cost drivers, optimization opportunities, and scaling considerations early in the sales cycle

• Support proposal and SOW development by contributing technical scope, assumptions, dependencies, and risk considerations

Internal Collaboration & Enablement

• Collaborate with delivery, engineering, and product teams to validate solution feasibility and scope

• Provide feedback on customer needs, technical trends, and market insights

• Support sales enablement by helping articulate technical value propositions and differentiators

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

• Proven experience in a Solutions Architect, Technical Architect, Pre-Sales Consultant, or technical consulting role

• Strong understanding of AWS cloud services, particularly in AI/ML and data platforms

• Experience designing or discussing architectures involving data lakes, analytics, and ML workloads

• Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly

• Strong problem-solving and analytical skills with a customer-focused mindset

• Comfortable working in a fast-paced, consultative sales environment

• Familiarity with CRM tools and opportunity tracking systems

• Willingness to occasionally travel for customer meetings or partner engagements

Location

Remote, United States

Company 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.