AI-Driven Marketing Workflow Architect

Socket.dev

Houston (TX)

Hybrid

USD 120,000 - 275,000

Full time

12 days ago

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Job summary

Hewlett Packard Enterprise seeks a Marketing AI Workflow Architect in Houston, TX for a hybrid role, blending on-site collaboration with remote work. You will analyze marketing processes, design end-to-end AI-enabled architectures, and partner with AI, data, IT, and vendors to deliver secure, scalable solutions aligned with enterprise standards.

The role emphasizes governance, data security, and cross-functional leadership, with responsibilities spanning architecture validation, data pipelines,

Qualifications

  • Design scalable, secure AI & MarTech solutions.
  • Translate business needs into technical requirements and architecture blueprints.
  • Knowledge of LLMs, RAG, and AI workflow orchestration.
  • Understand cloud infra incl. model endpoints, vector stores, observability.

Responsibilities

  • Analyze current marketing workflows and data flows to identify automation opportunities.
  • Collaborate with AI/ML teams to map to enterprise standards and governance.
  • Define data pipelines and governance to enable AI-enabled marketing processes.
  • Lead vendor evaluations and build-vs-buy decisions for AI tools.
  • Ensure security, privacy and compliance across AI solutions.

Skills

AI Architecture
Enterprise Architecture
Cloud Platforms
Security & Governance
Vendor Evaluation
Stakeholder Management
Data Governance

Education

Bachelor’s degree in CS/SE or related
Master’s degree preferred

Job description

Hewlett Packard Enterprise seeks a Marketing AI Workflow Architect in Houston, TX for a hybrid role, blending on-site collaboration with remote work. You will analyze marketing processes, design end-to-end AI-enabled architectures, and partner with AI, data, IT, and vendors to deliver secure, scalable solutions aligned with enterprise standards.

The role emphasizes governance, data security, and cross-functional leadership, with responsibilities spanning architecture validation, data pipelines,

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