Solutions Architect
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Job Description
Solutions Architect designing and operationalizing data and AI architectures for Interval’s enterprise customers. Collaborating with stakeholders to unlock the power of data capabilities across multiple platforms.
Responsibilities:
- 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.
Requirements:
- 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.
Benefits:
- 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.
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