Senior Solutions Architect, SandboxAQ

• 9+ years (or equivalent) in Solutions Architecture, Customer Engineering, or Technical Consulting for enterprise SaaS, ML platforms, or data-intensive systems
• Strong cloud architecture experience (AWS/Azure/GCP): IAM, networking, compute, storage, containers/Kubernetes, and observability
• Working knowledge of ML and data pipelines (deployment patterns, evaluation/monitoring, governance basics)
• Proven ability to translate customer requirements into clear architectures, implementation plans, and technical deliverables
• Excellent communication skills with both technical and executive stakeholders

Desirable

• SandboxAQ’s AI Simulation (AISim) division develops and applies Large Quantitative Models (LQMs) that are grounded in physics, chemistry, mathematics and biology to simulate molecular behavior with scientific precision and accelerate discovery in the physical world across biopharma, chemicals, advanced materials, healthcare, and so much more
• The AISim division is looking for a seasoned Solutions Architect to join this team to accelerate customer adoption via product-led growth
• In this role, you will (1) lead high-touch onboarding and implementation for strategic customers, (2) establish reference architectures and implementation playbooks that reduce time-to-value, (3) enable secure, reliable integrations across cloud/LLM/partner environments, and (4) drive a tight feedback loop into Product and Engineering that improves the platform’s operability and customer experience—offering the opportunity to shape the technical standard for how AISim is deployed while working directly with sophisticated customers and top-tier ecosystem partners
• Lead customer onboarding and implementation for AISim Physics and ML-based solutions, including technical discovery, solution design, configuration, and production readiness
• Serve as a trusted technical advisor to Product and Engineering teams; run architecture workshops and technical deep dives
• Build and maintain reference architectures, integration patterns, and implementation runbooks to improve time-to-value and reduce onboarding friction
• Drive enterprise-grade deployment best practices across security, identity/access, networking, observability, reliability, and cost/performance optimization
• Provide technical escalation support and root-cause analysis in partnership with Engineering; contribute to durable fixes and documentation
• Contribute to field motions as needed (solution scoping, demos, proof-of-value plans, RFP/security responses)