2 дня назад
Marketing AI Workflow Architect (AI)
119 500 - 275 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Marketing AI Workflow Architect (AI): Designing end-to-end AI-enabled architectures for marketing workflows and MarTech integrations with an accent on LLMs, retrieval-augmented generation, AI agents, data flows, and enterprise governance. Focus on streamlining data pipelines, specifying secure APIs and infrastructure, evaluating vendors, and enabling scalable AI deployment.
Location: Houston, Texas, United States; hybrid schedule with an average requirement of 2 days per week in an office and up to 3 days per week onsite.
Salary: USD 119,500–275,000 annual base salary in Texas, with possible variable incentives.
Company
is a global edge-to-cloud technology company helping organizations connect, protect, analyze, and act on data and applications.
What you will do
- Assess marketing workflows, cross-team handoffs, dependencies, data flows, bottlenecks, and automation opportunities.
- Design and align end-to-end AI-enabled marketing and MarTech architectures with enterprise standards.
- Support the integration of AI agents, LLMs, retrieval-augmented generation, recommendation engines, and third-party AI tools.
- Collaborate with data engineering, IT, platform engineering, security, legal, compliance, and AI/ML teams.
- Define API, data pipeline, infrastructure, latency, throughput, availability, and resilience requirements.
- Lead vendor evaluations, technical due diligence, and build-versus-buy decisions.
Requirements
- Bachelor's degree in computer science, software engineering, or a related field.
- Experience designing scalable, secure, enterprise-aligned AI and MarTech solutions.
- Knowledge of LLMs, generative AI, retrieval-augmented generation, recommendation engines, and AI workflow orchestration.
- Familiarity with Azure, AWS, or GCP, cloud services, networking, model endpoints, vector stores, and observability tools.
- Experience with API design, system integration, data management, governance, security, privacy, compliance, and vendor risk assessment.
- Ability to translate business needs into technical requirements, architecture blueprints, and implementation plans.
Nice to have
- Master's degree or higher in a relevant discipline.
- Cloud, enterprise architecture, or AI-related certifications.
Culture & Benefits
- Health and wellbeing benefits for employees and their loved ones.
- Personal and professional development programs supporting career growth.
- Inclusive workplace focused on varied backgrounds, flexibility, collaboration, and innovation.
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