Senior Director, AI Architect

🔥 42 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

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Patra Corporation

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2005

🛡️ Insurance

💳 Fintech

☁️ SaaS

💰 $146M Private Equity Round on 2022-09

Insurance • Fintech • SaaS

Patra Corporation is a leading provider of technology-enabled insurance outsourcing services and AI-powered software solutions, trusted by over 880 insurance organizations. They offer a wide range of services including insurance processing, underwriting operations, and efficient workflow solutions tailored for retail agencies, wholesalers, and carriers. With a focus on automation and operational excellence, Patra empowers clients by enhancing efficiency and unlocking insights throughout the policy lifecycle.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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

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