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).

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.
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 (highly desired).

Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions
Retirement savings with company matching
Paid parental leave
Inclusive family-building benefits
Fully remote
Flexible paid time off
Company-wide seasonal breaks
Support for flexible work arrangements that enable sustainable performance
Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs

Staff Solutions Architect, AI Sim

Key skills