Senior Staff Solutions Architect, AI Sim
S
SandboxAQAI Simulation
United StatesFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 9+ years
- Required Skills
- AWSGCPKubernetesMachine LearningAzureLLM
Requirements
- 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.
- Familiarity with LLM ecosystems (model APIs, RAG/agents, evaluation/monitoring) and partner integration workflows (highly desired).
- Experience with product-led growth enablement (instrumentation, onboarding optimization, self-serve patterns) (highly desired).
- Background supporting regulated or security-sensitive enterprise deployments (highly desired).
- 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).
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