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Principal AI Platform Engineer

Posted 7 days ago

swits digital privateMillbrae (CA)

SENIORITY

Lead

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About the role

Principal AI Platform Engineer San Francisco, CA - HybridStrong experience in data engineering, data platforms, distributed systems, or enterprise data infrastructure. Practical experience building AI-enabled data systems, retrieval systems, semantic layers, or data agents. Strong knowledge of SQL, APIs, documents, vector search, knowledge graphs, and metadata systems. Experience with agentic interfaces, tool-calling, MCP or similar protocols, function calling, or AI backends. Good understanding of governance: access control, policies, contracts, lineage, data quality, PII protection, and auditability. Ability to build production systems that are safe, observable, testable, and reliable. Strong Python skills and comfort working across backend services, data systems, APIs, and AI frameworks. Product-minded judgment: you know the difference between a demo, a customer-specific workaround, and a reusable platform capability. Comfort working in ambiguous areas where the patterns are still being defined.
Nice to have: Experience with data mesh, data products, semantic models, catalogs, governance platforms, or data marketplaces. Experience with MCP servers, tool registries, LLM orchestration, RAG systems, or multi-step agents. Experience with Databricks, Snowflake, BigQuery, Spark, DuckDB, Postgres, graph databases, vector databases, or lakehouse architectures. Experience with enterprise identity and authorization systems such as SSO, OAuth, OIDC, SAML, SCIM, RBAC, ABAC, or policy engines. Experience evaluating AI systems for retrieval quality, tool-use accuracy, groundedness, reproducibility, and failure modes.

Before you apply

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Your profile is current

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A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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