Creative Systems Architect
HH Global · Myrtle Point, OR · 3 wk ago
EngineeringFull-time
We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. The posting includes: About the role? There's a "Role Summary". That could be "About the role". Responsibilities: "Key Responsibilities" with bullet points. Requirements: "Required Qualifications & Experience" includes experience, background, scripting, AI/ML, etc. Qualifications maybe same as Requirements? The posting also has "Desired Leadership & Personal Attributes" which could be Skills. Benefits: Not mentioned. Pay: Not mentioned. Schedule: Not mentioned. So we include About the role (Role Summary), Responsibilities (Key Responsibilities), Requirements (Required Qualifications & Experience), Skills (Desired Leadership & Personal Attributes). Possibly also Qualifications? But we have Requirements covering qualifications. The instruction: Use headings for section headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should not repeat job title as heading. We should not include Job ID etc. We need to preserve all substantive information. So we need to extract content.
Let's parse:
- About the role: The "Role Summary" paragraph(s). There's also "Our Client" and intro. The role summary: "Operating at the strategic intersection...". Also preceding paragraphs about HH Global and client. Should we include those? The instruction: preserve ALL substantive information; do not invent or summarize away detail. So we need to include the description of HH Global, client, role summary. Probably under About the role we can include the paragraphs that describe the role and context.
- Responsibilities: The bullet list under "Key Responsibilities". Need to convert each bullet to . There are multiple paragraphs each starting with a bold heading? Actually the text: "Enterprise AI Infrastructure & Strategic Architecture" then paragraph. Then "High-Volume Asset Execution & Pipeline Automation". Then "Technical Governance, Quality Assurance & Compliance". Then "System Optimization & Experimental Prototyping". Then "Regional Expansion & Business Impact". Each is a heading with description. We'll treat each as a list item? The instruction: Use
- for any list of duties/requirements/benefits. So we can make each responsibility as a
- containing the heading and description. Could also embed headings inside li? Probably okay.
- Requirements: The "Required Qualifications & Experience" section includes several sub-sections: Experience & Background, Scripting & Systems Engineering Languages & APIs, AI/ML Ecosystem Expertise, Creative Tools & Production Platforms, Desired Leadership & Personal Attributes (but that may be Skills). We'll put all that under Requirements? However we also have Skills separate. The instruction: prefer a few substantive sections over many thin ones. Could combine Requirements and Qualifications? But we have both headings possible. The posting has "Required Qualifications & Experience" and then "Desired Leadership & Personal Attributes". The latter could be Skills. So we can have Requirements (includes experience, background, scripting, AI/ML, creative tools) and Skills (desired leadership attributes). Let's do that.
Thus sections:
About the role
... (include HH Global intro, client, role summary)
Responsibilities
- Enterprise AI Infrastructure & Strategic Architecture: ...
- High-Volume Asset Execution & Pipeline Automation: ...
- Technical Governance, Quality Assurance & Compliance: ...
- System Optimization & Experimental Prototyping: ...
- Regional Expansion & Business Impact: ...
Requirements
- Experience & Background: 7+ years ...
- Scripting & Systems Engineering Languages & APIs: Advanced proficiency in Python, JavaScript, Node.js, TypeScript, and RESTful/GraphQL API integration. System Architecture: Strong experience in microservices architecture, serverless computing, and backend/frontend creative engineering.
- AI/ML Ecosystem Expertise: Generative Models: Demonstrable experience architecting workflows using enterprise LLMs (e.g., Gemini) and generative image, synthetic video, vision, and audio models. Prompt Engineering: Expert-level knowledge in prompt engineering, prompt library management, and multi-agent workflow orchestration.
- Creative Tools & Production Platforms: Google 1P Tools: Experience in working Google proprietary AI tools including Gemini, Veo, Imagen, Google Flow, Music AI Sandbox, Nano Banana, Google Stitch Tool Suite Automation: Deep experience programmatically controlling design suites and creative engines (e.g., Adobe ExtendScript, Figma API, After Effects automation modules, real-time 3D environments). Digital Ecosystems: Comprehensive understanding of digital ad formats (HTML5, social video, programmatic display), DCO engine architecture, DAM/MAM infrastructure, and media distribution systems. Multi-Market Localization: Hands-on experience building dynamic, multi-language asset templates and systems for global markets.
Skills
- Strategic Problem Solver: Ability to look beyond passive technical support to design end-to-end operational and technical infrastructure.
- Cross-Functional Bridge: Adept at translating complex AI technical frameworks into actionable workflows for creative production teams, e.g. Creative Directors, Art Directors as well as Data Engineers and Marketing Partners.
- Craft & Quality Focused: Passionate about maintaining craft standards, brand safety, and technical precision even when generating thousands of automated variations at velocity.
- Cloud Infrastructure Savvy: Familiarity with enterprise cloud computing platforms (AWS, GCP, Azure, Kubernetes) and serverless media processing pipelines.
- Executive Presence: Strong technical leadership with the ability to articulate high-level system architecture and AI roadmaps to executive leadership.
elements. We'll include:
Join the global leader in responsible marketing activation services. At HH Global, we help the world's most recognized brands turn their growth ideas into measurable impact through responsible marketing activation. We are a global marketing activation partner that connects brands to their customers and delivers sustainable marketing activation at scale. With over 4,000 colleagues across more than 55 countries, you'll join a diverse, high-performing community, empowered to deliver sustainable, innovative solutions for our clients.
Our client is a global leader in the tech industry, delivering a globally renowned web browser service. We are partnering with their highly talented and driven marketing team to build an embedded, always-on Scaled Creative Production (SCP) studio dedicated to elevating Direct Response (DR) marketing performance. This team is fully focused on pioneering advanced AI toolsets and multi-agent workflows to conceptualize, produce, and adapt high-performing DR creative assets at extraordinary velocity and scale across multiple global markets. By merging cutting-edge generative technology with modular design systems, the studio accelerates multi-market localization, dynamic asset personalization, and cross-channel distribution without compromising brand integrity or visual fidelity.
Role Summary: Operating at the strategic intersection of software engineering, generative AI, and high-velocity asset production, the Creative Systems Architect functions as the principal technical anchor within an embedded, always-on creative production studio. Dedicated to a premier global technology client in the AI space, this role bridges front-end creative tooling with enterprise-level technology frameworks. Rather than focusing solely on traditional creative execution or passive automation support, the Creative Systems Architect designs, deploys, and continuously optimizes strategic technical infrastructure. The position is pivotal in championing the strategic deployment of the client's proprietary 1P AI capabilities alongside vetted 3P tools. By establishing repeatable systems, technical governance standards, and automated rendering pipelines, the Creative Systems Architect powers high-volume Direct Response (DR) assets and multi-market localization across the globe, driving operational speed, regional expansion, and ROI performance.
That covers. Now Responsibilities: need to copy each bullet's description exactly as in text. Let's extract: Enterprise AI Infrastructure & Strategic Architecture: "Architect, deploy, and govern enterprise-grade AI/ML pipelines, combining the client's proprietary 1P generative AI models with vetted 3P production platforms to automate and optimize the end-to-end creative lifecycle. Lead multi-agent engineering setups, prompt library architecture, and automated content generation workflows tailored for studio-wide adoption. Define and oversee the enterprise technology architecture for creative systems (including headless CMS integrations, enterprise DCO engines, and DAM/MAM pipelines) to ensure cross-system security, interoperability, and scalability. Connect performance telemetry and media data engines to automated creative workflows, enabling programmatic, real-time asset optimization at scale." High-Volume Asset Execution & Pipeline Automation: "Build, deploy, and govern high-velocity production pipelines designed for Direct Response (DR) digital marketing assets across multi-channel campaign ecosystems. Architect modular design systems, dynamic template schemas, and programmatic rendering pipelines to enable rapid asset resizing, dynamic personalization, and multi-language localization across thousands of variants in Interface 1P creative platforms directly with performance media channels (e.g., DCO, programmatic display, social media platforms) to accelerate overall asset throughput." Technical Governance, Quality Assurance & Compliance: "Define, implement, and maintain rigorous technical QA specifications and automated validation testing frameworks for all automated and AI-generated outputs. Establish visual fidelity, resolution, brand consistency, and platform specification benchmarks across all digital media formats. Enforce strict compliance across all automation pipelines with data privacy standards, IP safety guidelines, brand safety protocols, and enterprise content governance. Serve as the principal technical authority across Creative Directors, Software Engineers, and AdTech partners to maintain resilient, platform-compliant production architectures." System Optimization & Experimental Prototyping: "Stress-test and optimize 1P AI capabilities and frontier features, providing operational feedback to internal technology leads and platform product teams to influence tool roadmaps. Actively identify bottlenecks in production environments, building custom scripts, Node/Python tools, or REST/GraphQL API integrations to continuously reduce turnaround times. Lead technical prototyping for experimental campaign formats, emerging AI features, interactive digital formats, and novel media technologies (e.g., spatial computing, real-time rendering)." Regional Expansion & Business Impact: "Align architectural and technical choices with broader client business objectives, accelerating market entry and optimizing unit