Solutions Architect
Fundamental4 months ago
Responsibilities
- Lead technical discovery to identify high-feasibility, high-impact customer use cases for NEXUS.
- Partner with Sales to build demos, run competitive benchmarks, and prototype solutions using customer data.
- Own customer technical strategy and relationships with senior business and technical stakeholders.
- Lead end-to-end delivery projects and coordinate Forward Deployed Engineers and customer teams.
- Design production-grade solution architectures and integration patterns for on-premises, VPC, and legacy environments.
- Translate customer and field patterns into engineering tickets for Product and Research.
- Create reusable deployment strategies and reference architectures for the Solutions Architect team.
Requirements
- At least 5 years of experience in technical consulting or customer-facing technical roles such as Solutions Architect, Data Scientist, Sales Engineer, or ML Engineer.
- Demonstrated ability to lead complex technical implementations involving traditional machine learning and/or modern generative AI systems.
- Understanding of cloud and on-premises architectures and experience working with enterprise customers through complex deployment cycles.
- Strong written and verbal communication skills for technical and non-technical audiences.
- Hands-on proficiency with Python, Pandas, and SQL for data manipulation, rapid prototyping, and customer dataset analysis.
- Ability to collaborate cross-functionally, manage trade-offs, own problems end-to-end, learn quickly, and deliver outcomes.
Benefits
- Competitive compensation with salary and equity.
- Medical, dental, vision, and 401K coverage for employees and dependents.
- Paid parental leave for all new parents, including adoptive and surrogate journeys.
- Relocation support for employees moving to an office location.
- Low-ego, mission-driven culture that values diversity of thought, ownership, and bias toward action.
- The role requires travel 50% of the time.
About Fundamental
Fundamental builds NEXUS, a large tabular AI model and platform for enterprise decision-making on structured data, delivered with deployment support. It sells to large companies, including Fortune 100 firms, through software licensing and forward-deployed data science services. Founded in 2024 by former DeepMind engineers and headquartered in San Francisco, the company is expanding industry use cases such as oil and gas, where it supports predictive analytics and operational planning.