About Us
We, at Pantheon Lab, push the boundaries of reality.

Pantheon Lab Limited is a Gen AI tech company dedicated to developing advanced digital assistant solutions and digital human technologies. Since our establishment in 2019, we have expanded our footprint into key markets, including Hong Kong SAR, Singapore, Taiwan, and Japan. Our current Generative AI projects leverage proprietary deep learning technologies, such as hyper-realistic face synthesis, lip synchronization, and voice synthesis, for real-world business applications. Our clients include Fortune 500 companies and government-related facilities.

We excel in generating hyper-realistic digital humans and automating human-like multilingual responses, interactivity, expressions, and gestures. This unique expertise distinguishes us in the industry. By humanizing machines visually, virtually, and intellectually, we redefine user engagement and provide businesses with innovative digital human applications that enhance efficiency and drive success.

Our commitment to inspiring creativity through Generative AI technologies integrates digital human ecosystems into mainstream applications.

https://www.pantheonlab.ai/
https://www.linkedin.com/company/pantheonlab/ 
 

ROLE OVERVIEW

As the Solution Architect, you will be responsible for designing the technical architecture of our digital human solutions, which are deployed across kiosks, web, and mobile applications. You will be critical in shaping the engineering roadmap and working closely with cross-functional teams, including software development, DevOps, and AI, to deliver scalable and secure solutions.

You will act as both a hands-on architect and a strategic leader, ensuring that our engineering organization is aligned with business objectives as we launch innovative products worldwide. Your expertise will be instrumental in guiding the team through the complexities of digital solution deployments.

KEY RESPONSIBILTIES

Technical Architecture & AI/Cloud Innovation

• Design end-to-end architectures for  digital human solutions , integrating generative AI (e.g. LLM, computer vision), cloud-native services (AWS/Azure), and DevOps pipelines.

• Define technical standards for scalability (e.g., multi-region/large-scale/ high-availability deployments), security (zero-trust frameworks), and cost optimization.

• Lead POCs for emerging tools (e.g., LLM fine-tuning, edge AI for kiosks) to drive innovation.

Engineering Roadmap

• Assist Senior Management to set the  engineering roadmap , balancing technical debt, innovation, and market demands.

• Work closely with software, DevOps, and AI teams to ensure alignment on priorities (e.g., launching a new product in APAC).

• Finalize a unified cloud architecture (AWS + Azure) supporting AI model deployment across 3 regions and reduce cloud costs while scaling AI workloads.

Cross-Functional Governance

• Act as the “glue” between AI researchers, DevOps engineers, and product/ project managers to resolve bottlenecks (e.g., latency in real-time AI inference).

• Govern cloud infrastructure spend (AWS/Azure) and enforce IaC best practices (Terraform).

• Build and optimize CI/CD pipelines using GitHub Actions for seamless, automated deployments.

• Containerize applications with Docker and manage orchestration with Kubernetes and ArgoCD, supporting large-scale, high-availability deployments (50+ container environments

• Ensure compliance with regional regulations (e.g., GDPR for EU deployments, data residency in new markets).

Scaling for Growth

• Architect solutions that scale across regions (e.g., hybrid cloud setups for low-latency kiosk interactions).

• Design team structures and processes (Agile/DevOps) to support rapid product launches.

REQUIREMENTS

• 5+ years in software/cloud engineering, 3+ years as a Solution Architect or Technical Lead.

• Expertise in AWS/Azure (multi-account strategies, Kubernetes clusters, serverless architectures).

• Hands-on experience with AI/ML deployment (model serving, MLOps, GPU optimization).

• Able to translate business goals into technical execution (e.g., reducing cloud costs by 30% while scaling AI workloads).

• Certifications: AWS/Azure Solutions Architect Pro, Kubernetes, or AI/ML certifications.

• Good command of written and spoken English and Chinese.

• Immediately available is highly preferable.  

How to Apply

• Interested candidates should press APPLY or send your resume to [via CTgoodjobs Apply Now]

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