Freelance CFD Engineer training AI agents through CAD - based fluid simulations and verified reference solutions. Supporting a global platform with Python validation checks.
About the role
- Sr. Director leading Patra’s enterprise AI and data architecture function for insurance operations technology. Building secure, scalable platforms for document intelligence, agentic AI, governance, and analytics.
Responsibilities
- 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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