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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI platform architecture, large-scale data architecture, and enterprise security architecture, with a strong ability to translate product strategy into scalable technical solutions. Proven leadership in guiding cross-functional teams and mentoring technical professionals while ensuring compliance with security and privacy policies.
Highest-signal resume keywords
AI Platform ArchitectureLarge-Scale Data ArchitectureEnterprise Security ArchitectureCross-Functional LeadershipTechnical Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringSystems ArchitectureCloud-Native ApplicationsData NormalizationHigh-Volume IngestionMicroservicesAPIsGoverned Autonomous Decision SystemsData GovernanceMLOps
Soft Skills
Executive CommunicationMentoringInfluential LeadershipStrategic Engagement
Tools & Technologies
KubernetesVector DatabasesDistributed SearchSemantic SearchRetrieval-Augmented GenerationPetabyte-Scale StorageAI-Driven Security Operations
Industry Keywords
SaaSCloud-NativeCybersecurityThreat IntelligenceSecurity Analytics
Tech Stack
Tools & technologiesCloudCyber SecurityDistributed SystemsKubernetesMicroservices
About the role
Key responsibilities & impact- Define AI, data, and platform architecture for Anomali’s product strategy
- Advance the Intelligent Unification Layer and Governed Decisioning Layer
- Support the Agentic SOC Platform and Managed Intelligence as a Service (MIaaS)
- Translate product strategy, customer outcomes, and business requirements into scalable architecture and implementation plans
- Own technical execution strategy for assigned product initiatives
- Lead architecture reviews and approve technical designs
- Establish architectural principles, engineering standards, and reusable platform patterns
- Design agent orchestration frameworks, reasoning pipelines, contextual decision systems, AI-assisted workflows, and human-in-the-loop controls
- Architect governed authorization, traceability, auditability, explainability, rollback, and policy enforcement
- Architect high-volume ingestion, normalization, enrichment, deduplication, correlation, storage, and retrieval services
- Design trusted data foundations with governance, lineage, provenance, data quality, access control, and lifecycle management
- Provide direction for distributed search, semantic search, vector databases, embeddings, hybrid search, and retrieval-augmented generation
- Partner with Data Science and AI Engineering on model operationalization, inference, model lifecycle management, evaluation, observability, and continuous improvement
- Lead technical direction for cross-functional delivery teams and provide day-to-day technical leadership
- Align resources, dependencies, technical priorities, and delivery sequencing with Engineering Managers
- Remove architectural and technical blockers and maintain architectural documentation and decision records
- 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 AI-native platform evolution, reduce technical debt, improve scalability, performance, resiliency, security, and operational efficiency
- Mentor architects, engineers, and technical leaders
- Comply with Anomali security and privacy policies, complete required training, 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 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 US
- 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; 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
- Ability to evaluate and guide specialists across data lake/lakehouse technologies, petabyte-scale storage, distributed search, vector databases, semantic search, retrieval-augmented generation, embeddings, hybrid retrieval, MLOps, feature engineering, inference pipelines, Kubernetes, and cloud-native infrastructure
- 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 policy
- Reasonable assistance or accommodation to apply
- Hybrid work schedule for Redwood City candidates: Mon/Tue/Wed onsite and Thu/Fri remote
- Remote work consideration for candidates located within the United States