Solutions Architect

Job description

**About Interval** Interval helps enterprises turn messy, underused data into governed, high-confidence intelligence—without handing control to a black box. We bring compute to your data with a private data lakehouse, verifiable audit trails, and **U-AI**, our contextual AI framework for secure AI workflows. **Our platform is built around three outcomes:** - Control: Keep ownership of your data and how models use it. - Verify: Audit what happened, why it happened, and where results came from. - Monetize: Create new revenue opportunities through private, permissioned data exchange. **The Opportunity** As a Senior/Staff Solutions Architect you will be the technical face of Interval for our largest customers—designing, validating, and operationalizing modern data & AI architectures that span multicloud environments and leading SaaS platforms (Databricks, Snowflake, GCP, AWS, Salesforce, and more). You’ll translate ambitious business outcomes into secure, performant, and governable solutions that unlock the power of Interval’s platform. **What You’ll Do** - Architect end-to-end solutions that integrate Interval’s data-exchange, privacy, and AI capabilities with customers’ existing cloud warehouses, lakehouses, and BI stacks. - Lead technical discovery & design workshops with data, analytics, and ML teams; produce reference architectures, sequence diagrams, and implementation plans. - Prototype & run POCs showcasing secure LLM workflows, private-model training, and governed data-sharing on Interval’s EVM-backed network. - Serve as a trusted advisor to enterprise stakeholders—CTOs, CDOs, and Heads of AI—on topics such as data-governance, compliance (HIPAA, GDPR), and ML-ops best practices. - Collaborate cross-functionally with Product, Engineering, and Sales to influence roadmap priorities and ensure customer success. - Create reusable assets and enablement content that scale architectural best practices across the organization. - Evangelize Interval through conference talks, blog posts, and community contributions to the modern data stack and open-source AI tooling. **What We’re Looking For** - 8 + years designing and delivering enterprise SaaS or cloud data solutions, with recent senior-level ownership of architecture or presales design. - Deep hands-on expertise with at least one of Databricks, Snowflake, GCP, AWS or Salesforce Data Cloud. - Working knowledge of machine-learning & LLM workflows (vector DBs, embedding pipelines, fine-tuning, RLHF) and the surrounding ML-Ops toolchain. - Fluency in SQL and one scripting language (Python preferred); ability to read infrastructure-as-code - Strong grasp of modern data-governance, security, and compliance patterns (encryption, IAM, row/column-level security). - Exceptional written & verbal communication skills—you can whiteboard complex systems and influence both executive and engineering audiences. **Nice to Have** - Experience with blockchain-based data protocols, tokenization, or zero-knowledge proofs. - Prior success building reference architectures or contributing to OSS projects in the data/AI ecosystem. - Domain exposure in high-signal industries (finance, energy, real estate, logistics) where data provenance and policy enforcement are mission-critical. **Why Join Interval?** - Shape the frontier of AI, blockchain, and enterprise data infrastructure. - Build tools with real-world impact—help global enterprises activate and monetize their most valuable data assets. - Thrive in a sharp, mission-driven team backed by top-tier technical leadership and investors. - Enjoy meaningful equity, flexible work, and the autonomy to innovate where data, AI, and privacy meet.