Staff Solutions Architect, AI Sim

SandboxAQ

11h • Remote

About The Position

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.
We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.
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 Principal 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.

Requirements

• 7+ 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.

Nice To Haves

• Familiarity with LLM ecosystems (model APIs, RAG/agents, evaluation/monitoring) and partner integration workflows.
• Experience with product-led growth enablement (instrumentation, onboarding optimization, self-serve patterns).
• Background supporting regulated or security-sensitive enterprise deployments.
• Exposure to scientific computing, life sciences and/or materials sciences is a plus.

Responsibilities

• 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).

Benefits

• We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work.
• Career Defining Work: Your work will directly accelerate the discovery of better drugs and better materials, advance human health, and enable safer and more sustainable technologies by helping customers put AI Simulation capabilities into real world use.
• Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
• Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
• Work-Life Balance: Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
• Learning and Growth: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed