Senior AI Product Architect (US Remote)

The Senior AI Product Architect is a senior technical leader within the Product organization responsible for defining the AI, data, and platform architecture that powers Anomali's product strategy and for leading the technical execution of strategic AI-driven initiatives. The role advances Anomali's Intelligent Unification Layer and Governed Decisioning Layer architecture thesis and supports the Agentic SOC Platform and Managed Intelligence as a Service (MIaaS). The role ensures technical decisions support Anomali's five-level maturity model and works closely with Product Management, Engineering, Data Science, UX, Product Marketing, and executive leadership. Engineering retains responsibility for people leadership, software delivery, and operational execution.

Responsibilities

Define the technical architecture supporting the Intelligent Unification Layer, Governed Decisioning Layer, Agentic SOC Platform, and MIaaS; Translate product strategy, customer outcomes, and business requirements into scalable architecture and implementation plans; Lead architecture reviews and approve technical designs for strategic product initiatives; Establish architectural principles, engineering standards, and reusable platform patterns; Partner with Product Management on field doctrine, roadmap sequencing, and architectural trade-offs; Define long-term architecture for AI-driven and agentic security operations; Design agent orchestration frameworks, reasoning pipelines, contextual decision systems, and human-in-the-loop controls; Architect large-scale enterprise data platforms supporting AI, analytics, and cybersecurity workloads; Provide architectural direction for distributed search and low-latency retrieval; Partner with Data Science and AI Engineering teams to operationalize models into production systems; Lead the technical direction of cross-functional delivery teams and provide day-to-day technical leadership; Maintain architectural documentation, decision records, and technical accountability; Participate in strategic customer engagements and represent Anomali's architecture thesis with executives, partners, and analysts; Drive architectural evolution of AI-native platform capabilities; Mentor architects, engineers, and technical leaders

Requirements

Minimum 8 years of experience (12+ years preferred) in software engineering, systems architecture, AI platform architecture, product architecture, or technical leadership; Demonstrated success defining and delivering enterprise-scale SaaS, cloud-native, data, or AI platforms; Deep expertise in enterprise AI or agentic platform architecture; Deep expertise in large-scale data and distributed platform architecture; Experience translating product strategy into technical architecture, delivery sequencing, and implementation plans; Experience leading complex cross-functional initiatives from concept through production delivery; Demonstrated ability to lead engineers and technical teams through influence rather than direct reporting relationships; Strong experience partnering with Product Management organizations; Experience making and documenting architectural trade-offs involving scope, timing, performance, scalability, security, and cost; Strong executive communication and presentation skills; Ability to engage credibly with technical executives, architects, security leaders, and strategic customers; Strong technical depth in AI platform and agentic system architecture, distributed systems and cloud-native applications, APIs, microservices, orchestration, and shared platform services, large-scale data platforms supporting AI and analytics, data normalization, enrichment, governance, lineage, provenance, and quality, high-volume ingestion and streaming architectures, enterprise security architecture and security operations, human-in-the-loop and governed autonomous decision systems, identity, authorization, auditability, and policy enforcement for AI agents; Not eligible for employment visa sponsorship; must not now or in the future require visa sponsorship to work in the US

Nice to have

Conversant knowledge of data lake and lakehouse technologies; Petabyte-scale storage and data lifecycle management; Distributed search and low-latency retrieval; Vector databases and semantic search; Retrieval-augmented generation; Embeddings, hybrid retrieval, and relevance optimization; Machine learning operations and model lifecycle management; Feature engineering and inference pipelines; Kubernetes and cloud-native infrastructure; On-premises, sovereign, regional VPC, and customer-controlled deployment models; Experience with one or more of: Security Information and Event Management, Threat Intelligence, Security analytics, XDR, SOAR, Identity and non-human identity, Observability, AI-driven security operations; Ability to understand and communicate operationalized intelligence, governed decisioning, human-in-the-loop AI, customer maturity and adoption models, security data unification, SIEM augmentation and modernization, and agentic security operations