Solutions Architect

🕒 vor 25 Tagen

🌐 Vereinigte Staaten, Deutschland, +1 weitere Länder – Remote

🇺🇸 Vereinigte Staaten – Remote 🇩🇪 Deutschland – Remote 🇪🇸 Spanien – Remote

⚔️ Virginia – Remote

⚔️ Virginia – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

💻 Lösungsingenieur

👻 Geisterscore 17%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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RevStar

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2018

💼 Beratung

🤝 B2B

🤖 Künstliche Intelligenz

Consulting • B2B • Artificial Intelligence

RevStar ist eine Beratungsfirma für digitale Transformation und Innovation, die Organisationen dabei unterstützt, von der Vision zur Umsetzung zu gelangen, indem sie strategische Klarheit mit technischer Durchführung verbindet. Zu ihren Dienstleistungen gehören strategische Wachstumsfahrpläne, modernes Kundenerlebnisdesign, GenAI/AI-Aktionspläne, Dateninfrastruktur, Produkttests und MVP-Sprints sowie Modernisierungsfahrpläne. RevStar legt Wert auf praktische, ergebnisorientierte Innovationen und arbeitet mit Führungskräften im Gesundheitswesen, der Versicherungsbranche und der Finanzbranche zusammen, um kritische Herausforderungen zu lösen.

Beschreibung

• **Pre-Sales & Customer Engagement** • - 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 • **AWS Architecture, Modernization & Migration Design** • - 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 • **AI, ML & Data Expertise** • - 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 • **Costing, Estimation & Planning** • - 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 • **Internal Collaboration & Enablement** • - 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

🎯 Anforderungen

• **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

🏖️ Vorteile

• **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, supportive environment that values curiosity and initiative.