Treasure Data · 1 day ago
Principal Enterprise AI Engineer
Mountain View, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$230K/yr - $244K/yr
7+ years expTreasure Data is on a mission to simplify how companies use data and AI to create connected customer experiences. The Principal Enterprise AI Engineer is a senior individual contributor responsible for the end-to-end ownership of the enterprise AI platform, focusing on designing, building, and operating foundational AI capabilities and tooling for enterprise-wide adoption.
AnalyticsBig DataCloud ComputingData ManagementMarketing AutomationSoftware
Responsibilities
Enterprise AI Platform Ownership
Own the design, build, and operation of the enterprise AI platform, including LLM access and routing, agent orchestration frameworks, and secure RAG architectures over governed enterprise data
Define and maintain reference architectures and paved roads that standardize how AI is built, deployed, and operated across the enterprise
Ensure platform scalability, reliability, and consistent operation across NA, EMEA, Japan, and APAC, accounting for regional regulatory and data residency requirements
Platform Engineering & Agent Lifecycle Management
Build reusable platform components such as agent templates, workflow patterns, and configuration and version management capabilities
Implement automated evaluation, logging, and observability pipelines that support production-grade AI systems
Own the enterprise AI agent lifecycle, including versioning, upgrades, reliability standards, deprecation, and clear ownership handoff to consuming teams
Embed cost visibility, usage controls, and to ensure reliability, compliance, and ROI by default
Enterprise Enablement & Adoption Acceleration
Partner with GTM, R&D, and G&A leaders to identify and prioritize high-impact AI use cases aligned to revenue, margin, cost, and productivity goals
Translate business workflows into scalable, repeatable AI agent patterns suitable for enterprise adoption
Enable teams through reference implementations, documentation, office hours, and pragmatic guidance that replaces blanket restrictions with safe, supported paths forward
Drive phased adoption of the enterprise AI platform, balancing experimentation with operational readiness and organizational change management
AI Tooling & Ecosystem Stewardship
Evaluate and select AI tools across the enterprise ecosystem based on capability, risk, cost, and operational fit
Define clear guidance for experimentation versus production usage of AI tools
Reduce tool sprawl and fragmentation while preserving appropriate team autonomy
Serve as the technical steward of the enterprise AI platform and tooling stack
Security, Risk & Compliance by Design
Partner with Security Architecture to identify and mitigate AI-specific threats, and embed security and privacy controls into the AI platform by default
Align enterprise AI usage with ISO, SOC2, HIPAA, and emerging AI governance frameworks such as NIST AI RMF and ISO/IEC 42001
Data Partnership & Governance Alignment
Ensure AI systems consume data through approved, governed interfaces that respect provenance, classification, and privacy-by-design principles
Metrics, ROI & Business Outcomes
Define success metrics for enterprise AI adoption, including time from idea to deployed agent, cost efficiency, and business impact
Measure revenue acceleration, productivity gains, and risk reduction attributable to AI-enabled workflows
Produce clear, executive-level reporting that connects AI platform adoption to measurable business outcomes
Qualification
Required
7+ years in Cloud/Platform/Reliability Engineering, with 1-2 years specifically architecting secure AI/LLM systems at scale (RAG, model gateway, agent frameworks)
Deep expertise in cloud platform security (AWS preferred), including IAM, KMS, container/Kubernetes security, and CI/CD hardening
Hands-on engineering proficiency in at least one language (Python, Go, or TypeScript) to prototype controls, evaluators, or pipeline integrations
Strong knowledge of classification, minimization, DLP, encryption, and privacy-by-design in AI contexts
Preferred
Experience building enterprise platforms with cost controls and usage observability
Experience implementing Zero Trust architecture and Infrastructure-as-Code (IaC)
Background in building secure RAG systems over governed enterprise data
Familiarity with AI Security Posture Management (AI-SPM) and fleet-level visibility tools
Experience with governance frameworks: NIST AI RMF, ISO/IEC 42001, and secure SDLC/LLMOps integrations
Benefits
Comprehensive medical, dental, vision plans and Employee Assistance Program (EAP)
Competitive compensation packages
Company paid life insurance 3x salary
Company paid short- and long-term disability coverage
Retirement planning (401K) with 4% company match
Restricted Stock Units (RSU)
Flexible Time Off (FTO)
Up to 26 weeks paid parental leave including a post-partum night nurse
Comprehensive support and access to care for everyone, everywhere through Carrot - our global reproductive health and family-building benefit.
Company
Treasure Data
Treasure Data is a software development company that develops a cloud-based data analytics platform for data management.
501-1000 employees
H1B Sponsorship
Treasure Data has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (9)
2023 (12)
2022 (18)
2021 (14)
2020 (22)
Funding
Current Stage
Late StageTotal Funding
$288.05MKey Investors
SoftBankScale Venture PartnersSierra Ventures
2021-11-03Series Unknown· $234M
2016-11-07Series C· $25M
2015-08-26Series Unknown· $6M
Leadership Team
Hironobu Yoshikawa
Chairman of the Board of Directors
Kimberly Bronstein
Chief Employee Experience Officer
Recent News
Destination CRM
2026-01-16
2025-12-02
Company data provided by crunchbase