Senior Director, AI Architect

🕒 vor 2 Tagen

🇨🇦 Kanada – Remote

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

👻 Geisterscore 12%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Patra Corporation

WebsiteLinkedInAlle Stellen

5001 - 10000 Mitarbeiter

Gegründet 2005

🛡️ Versicherung

💳 Fintech

☁️ SaaS

💰 €146.000.000 Private Equity Round im 2022-09

Insurance • Fintech • SaaS

Patra Corporation ist ein führender Anbieter von technologiegestützten Outsourcing-Dienstleistungen für Versicherungen und KI-gestützten Softwarelösungen, dem über 880 Versicherungsorganisationen vertrauen. Sie bieten ein breites Spektrum an Dienstleistungen an, darunter Versicherungsverarbeitung, Underwriting-Operationen und effiziente Workflow-Lösungen, die speziell für Einzelhandelsagenturen, Großhändler und Versicherer entwickelt wurden. Mit einem Schwerpunkt auf Automatisierung und operativer Exzellenz befähigt Patra seine Kunden, Effizienz zu steigern und Erkenntnisse über den gesamten Policenlebenszyklus zu gewinnen.

Beschreibung

• Lead Patra’s AI & Data Architecture function and own its strategy, organizational structure, technical direction, priorities, delivery, quality, and operating model • Form and lead multidisciplinary teams spanning AI engineering, data engineering, machine learning, enterprise data architecture, analytics infrastructure, and shared AI services • Manage talent and performance, including objectives, performance evaluation, career development, hiring, promotions, compensation recommendations, and organizational assignments • Establish Patra’s target-state enterprise AI and data architecture • Direct architecture for document ingestion, metadata extraction, indexing, semantic retrieval, vector search, knowledge enrichment, and AI consumption • Direct the evolution of agentic capabilities into production-grade enterprise infrastructure • Establish standards and processes for AI training, fine-tuning, benchmarking, and evaluation datasets • Establish architecture and governance for AI observability and telemetry • Lead enterprise data platform strategy across AWS services, Snowflake, and/or Databricks • Define and govern operational, analytical, event-driven, semantic, and AI-oriented data standards • Ensure enterprise data capabilities support business intelligence, operational reporting, experimentation, decision support, and executive intelligence • Establish governance for data ownership, lineage, provenance, classification, quality, lifecycle, access control, AI usage, and auditability • Protect customer and tenant data through strict multi-tenant segregation • Establish jurisdiction-aware retention, archival, residency, and deletion strategies • Set SLAs, SLOs, quality metrics, and operational standards for data and AI capabilities • Direct reusable platform capabilities for identity, access, observability, model access, evaluation, security, compliance, tenancy, CI/CD, and data services • Establish integration standards for products, internal systems, partner platforms, APIs, event streams, and external data providers • Run AI and data capabilities as enterprise products and measure adoption, reliability, quality, and developer productivity • Lead architecture governance, reference architectures, engineering standards, and cross-organizational technical decisions • Direct the AI and data portfolio, allocate resources, and manage technology investment • Shape Patra’s multi-year AI and data roadmap • Advise executives on AI strategy, enterprise data architecture, investments, organizational capacity, delivery risk, governance, and technology trade-offs

🎯 Anforderungen

• 10+ years of progressive experience across software engineering, enterprise architecture, data engineering, cloud platforms, artificial intelligence, or machine learning • Significant experience leading senior technical professionals • Demonstrated experience forming, scaling, and leading multidisciplinary engineering and data organizations • Experience hiring professional employees, developing managers and technical leaders, evaluating performance, making promotion and compensation recommendations, planning organizational capacity, and allocating resources across teams and strategic initiatives • Deep understanding of production AI systems including LLM applications, RAG, embeddings, semantic and vector search, agentic architectures, AI orchestration, evaluation, observability, governance, and human-in-the-loop systems • Significant experience directing the architecture of platforms supporting structured, semi-structured, and unstructured enterprise data • Experience with document-intensive domains • Experience establishing strategy around AWS-native data services including S3, Redshift, streaming and event technologies, and platforms such as Snowflake and/or Databricks • Strong understanding of operational, analytical, dimensional, event-oriented, lakehouse, semantic, and domain-oriented data architectures and their trade-offs • Experience leading organizations responsible for enterprise reliability, availability, security, performance, and operational-readiness requirements • Experience establishing enterprise standards around data quality, ownership, lineage, retention, tenant segregation, access control, auditability, and lifecycle management • Experience operating in regulated environments where contractual, security, privacy, regulatory, data-residency, or jurisdiction-specific requirements influence architecture • Demonstrated ability to translate technology strategy into prioritized, funded, staffed, and measurable programs • Ability to advise senior executives while maintaining credibility with senior engineers and architects • Track record of building organizations whose managers and technical leaders can independently own significant responsibilities

🏖️ Vorteile

• Equal opportunity employer committed to celebrating diversity and creating a safe and inclusive environment for all employees

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