Senior AI Product Architect

Anomali

Senior AI Product Architect shaping Anomali’s agentic SOC platform and governed decisioning architecture. Leading AI, data, and security platform strategy across product and engineering.

Posted 8/5/2026full-timeRedwood City • California, Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in defining and delivering enterprise-scale AI and data platforms, with a strong focus on architecture for distributed systems, cloud-native applications, and security operations. Proven ability to lead cross-functional teams and communicate effectively with technical executives and stakeholders.

Highest-signal resume keywords

AI Platform ArchitectureDistributed Systems ArchitectureEnterprise Security ArchitectureCloud-Native ApplicationsTechnical Leadership

ATS Keywords

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Hard Skills

Software EngineeringSystems ArchitectureData GovernanceMicroservicesAPIsOrchestrationHigh-Volume IngestionStreaming ArchitecturesHuman-in-the-Loop SystemsArchitectural Trade-Offs

Soft Skills

Executive CommunicationInfluential LeadershipCross-Functional CollaborationStrategic Engagement

Tools & Technologies

KubernetesData LakeLakehouse TechnologiesVector DatabasesSemantic SearchRetrieval-Augmented GenerationMachine Learning Operations

Industry Keywords

SaaSCybersecurityThreat IntelligenceSecurity AnalyticsXDRSOAR

Tech Stack

Tools & technologies

CloudCyber SecurityDistributed SystemsKubernetesMicroservices

About the role

Key responsibilities & impact

Define technical architecture for Anomali’s 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
Define AI-driven and agentic security operations architecture, including orchestration, reasoning pipelines, contextual decision systems, and human-in-the-loop controls
Architect large-scale enterprise data platforms for AI, analytics, intelligence, and cybersecurity workloads
Design data ingestion, normalization, enrichment, deduplication, correlation, storage, and retrieval services
Provide direction for distributed search, semantic search, vector databases, embeddings, hybrid search, and retrieval-augmented generation
Partner with Data Science and AI Engineering to operationalize models and AI capabilities in production
Lead technical direction for cross-functional delivery teams throughout the software development lifecycle
Maintain architectural documentation, decision records, and technical accountability
Participate in strategic customer engagements and represent Anomali’s architecture thesis to executives, partners, analysts, and customers
Present technical strategy, architecture, trade-offs, and product direction to executive leadership
Drive platform modernization, reduce technical debt, improve scalability and resiliency, and mentor architects and engineers
Ensure compliance with Anomali security and privacy policies and safeguard sensitive information

Requirements

What you’ll need

Minimum 8 years of experience 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
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
Must not now or in the future require visa sponsorship to work in the United States
Strong technical depth in AI platform and agentic system architecture
Strong technical depth in distributed systems and cloud-native applications
Strong technical depth in APIs, microservices, orchestration, and shared platform services
Strong technical depth in large-scale data platforms, data governance, lineage, provenance, quality, high-volume ingestion, and streaming architectures
Strong technical depth in enterprise security architecture and security operations
Strong technical depth in human-in-the-loop and governed autonomous decision systems
Strong technical depth in identity, authorization, auditability, and policy enforcement for AI agents
Ability to evaluate and guide specialists across data lake/lakehouse technologies, petabyte-scale storage, distributed search, vector databases, semantic search, retrieval-augmented generation, embeddings, machine learning operations, feature engineering, inference pipelines, Kubernetes, and customer-controlled deployment models
Strong understanding of enterprise cybersecurity platforms and operating models
Experience with one or more of SIEM, Threat Intelligence, security analytics, XDR, SOAR, identity and non-human identity, observability, or AI-driven security operations

Benefits

Comp & perks

Equal opportunity employment and advancement
Special assistance or accommodation available during the application process
Remote work option for candidates located within the United States
Hybrid schedule for Bay Area candidates: Mon/Tue/Wed onsite and Thu/Fri remote