Senior AI Product Architect

Join Anomali, a leading cybersecurity company, as a Senior AI Product Architect. In this role, you will define the AI, data, and platform architecture that powers Anomali's product strategy and lead the technical execution of strategic AI-driven initiatives. You will work closely with various teams, including Product Management, Engineering, Data Science, UX, Product Marketing, and executive leadership, to translate product doctrine and strategy into scalable technical architecture and executable implementation plans. Additionally, you will provide day-to-day technical leadership for engineers assigned to strategic initiatives, own architectural integrity, and guide technical decisions across the product portfolio.

• Definir la arquitectura técnica que respalda la estrategia de producto de Anomali, incluyendo la capa de unificación inteligente y la capa de decisión gobernada.
• Traducir la estrategia de producto, los resultados del cliente y los requisitos comerciales en una arquitectura escalable y planes de implementación.
• Asegurar que las decisiones arquitectónicas se alineen con el modelo de madurez de cinco niveles de Anomali y apoyen a los clientes en diferentes etapas de adopción.

• Security data unification
• Identity, authorization, auditability, and policy enforcement for AI agents
• Strong experience partnering with Product Management organizations
• Retrieval-augmented generation
• Deep hands-on specialization in every area above is not required
• Experience making and documenting architectural trade-offs involving scope, timing, performance, scalability, security, and cost
• Data normalization, enrichment, governance, lineage, provenance, and quality
• Demonstrated success defining and delivering enterprise-scale SaaS, cloud-native, data, or AI platforms
• Strong executive communication and presentation skills
• Machine learning operations and model lifecycle management
• Large-scale data and platform architecture supporting AI and cybersecurity workloads
• Distributed search and low-latency retrieval
• Human-in-the-loop AI
• Observability
• SOAR
• Feature engineering and inference pipelines
• Minimum 8 years of experience, (12+ years of experience preferred) in software engineering, systems architecture, AI platform architecture, product architecture, or technical leadership
• Embeddings, hybrid retrieval, and relevance optimization
• Governed decisioning
• APIs, microservices, orchestration, and shared platform services
• Deep expertise in large-scale data and distributed platform architecture
• Enterprise AI and agentic platform architecture
• Vector databases and semantic search
• Customer maturity and adoption models
• Candidates should demonstrate strong technical depth in:
• Experience with one or more of the following:
• AI platform and agentic system architecture
• Deep expertise in enterprise AI or agentic platform architecture
• Experience translating product strategy into technical architecture, delivery sequencing, and implementation plans
• Identity and non-human identity
• Security Information and Event Management
• Threat Intelligence
• Deep specialization in every adjacent area is not required
• Ability to engage credibly with technical executives, architects, security leaders, and strategic customers
• Ability to understand and communicate:
• Technical product leadership, including translating product strategy into executable architecture
• Data lake and lakehouse technologies
• High-volume ingestion and streaming architectures
• Security analytics
• Distributed systems and cloud-native applications
• SIEM augmentation and modernization
• XDR
• Demonstrated ability to lead engineers and technical teams through influence rather than direct reporting relationships
• AI-driven security operations
• Strong understanding of enterprise cybersecurity platforms and operating models
• Operationalized intelligence
• Kubernetes and cloud-native infrastructure
• Petabyte-scale storage and data lifecycle management
• Experience operating in environments requiring strong governance, sovereignty, auditability, and regulatory controls
• Candidates should be able to evaluate architecture and guide specialists across:
• Large-scale data platforms supporting AI and analytics
• Experience leading complex cross-functional initiatives from concept through production delivery
• Agentic security operations
• The candidate should also be conversant in adjacent disciplines, including distributed search, retrieval-augmented generation, machine learning operations, streaming data infrastructure, and executive customer engagement
• On-premises, sovereign, regional VPC, and customer-controlled deployment models
• Enterprise security architecture and security operations
• Human-in-the-loop and governed autonomous decision systems
• Experience building AI-native enterprise software products
• Experience designing platforms that support autonomous or semi-autonomous AI agents
• Experience developing security analytics, threat intelligence, or security operations products
• Experience with high-scale telemetry, security data, or observability platforms
• Experience working in a product-led organization where Product defines direction and priorities and Engineering owns execution and delivery
• Experience presenting architecture and product strategy to CISOs, CIOs, CTOs, and enterprise architecture leaders