Marketing AI Workflow Architect

Hewlett Packard Enterprise

AI architect designing secure, scalable solutions for HPE’s marketing operations and edge-to-cloud technology business. Integrating AI agents, data pipelines, MarTech platforms, and enterprise governance.

Posted 8/20/2026full-timeHouston • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $119,500 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing scalable and secure AI and MarTech solutions, with a strong focus on data governance, compliance, and integration of AI tools into marketing processes. Proficient in communicating complex technical concepts to diverse stakeholders and aligning business requirements with enterprise architecture.

Highest-signal resume keywords

Large Language Models (LLMs)Generative AIAI Workflow OrchestrationCloud Services (Azure, AWS, GCP)Data Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Architecture DesignAPI DesignData IntegrationTechnical Due DiligenceScalable Solution Design

Soft Skills

CommunicationInfluencing Cross-Functional TeamsTranslating Business Needs

Tools & Technologies

MarTech StackObservability ToolsVector StoresModel HostingData Pipelines

Certifications & Qualifications

Cloud Platform CertificationsEnterprise Architecture FrameworksAI-Related Credentials

Industry Keywords

Data PrivacyComplianceRisk AssessmentVendor EvaluationOperational Dependencies

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Analyze existing marketing processes, workflows, operational dependencies, and data flows
Map end-to-end marketing and communications processes to identify bottlenecks, redundancies, and automation opportunities
Assess data sources, quality, and integration points to inform AI embedding strategies
Align marketing business requirements and enterprise needs with AI architecture designs
Maintain working knowledge of LLMs, retrieval-augmented generation, recommendation engines, and generative AI tools
Lead onboarding and integration of AI agents, tools, and applications onto the MarTech stack
Lead vendor evaluation, build-versus-buy analysis, and enterprise-compliant integration
Review architecture artifacts for enterprise fit, integration, governance, and compliance
Collaborate with Data Engineering to design efficient data pipelines
Embed data governance, security, privacy, safety, and ethical considerations into AI solutions
Specify API and integration requirements for AI agents and third-party AI vendors
Define infrastructure and AI platform requirements, including model hosting, vector stores, storage, orchestration, and monitoring
Specify AI service performance requirements such as latency, throughput, availability, and resilience
Influence platform roadmaps and identify infrastructure or tooling gaps
Conduct technical due diligence and assess vendor risks including data residency, lock-in, and operational support
Collaborate with security, legal, compliance, IT, engineering, and external vendors
Represent marketing in enterprise architecture reviews and AI platform working groups
Communicate technical solutions to business stakeholders and influence enterprise-wide standards

Requirements

What you’ll need

Bachelor's degree in computer science, software engineering, or a related field is required
Master's degree or higher in a relevant discipline is preferred
Ability to design scalable, secure, and enterprise-aligned AI and MarTech solutions
Knowledge of large language models (LLMs), generative AI, retrieval-augmented generation, recommendation engines, and AI workflow orchestration
Familiarity with Azure, AWS, GCP, cloud services, networking, environment management, model endpoints, vector stores, and observability tools
Experience with system dependencies, API design, data access patterns, integration standards, and data governance
Understanding of enterprise security practices, privacy, compliance, risk assessment, and AI vendor due diligence
Ability to communicate complex technical concepts to non-technical stakeholders and influence cross-functional teams
Proven capability to translate business needs into technical requirements, architecture blueprints, and implementation plans
Experience assessing AI vendors and platforms and performing technical due diligence
Certifications in cloud platforms, enterprise architecture frameworks, or AI-related credentials are advantageous

Benefits

Comp & perks

Comprehensive health and wellbeing benefits supporting physical, financial and emotional wellbeing
Personal and professional development programs
Flexible work and personal-needs management
Inclusive workplace culture
Variable incentives may also be offered
Employee benefits information available through HPE Rewards
Reasonable accommodation during the application or interview process