AI Systems Specialist/AI Solutions Architect (over $60K)
Salary: $58,000 – $68,000 per month
Job Responsibilities
Plan, design, implement, and support AI and Generative AI initiatives.
Conduct technical studies, proof-of-concept exercises, and evaluations of AI technologies, including Large Language Models (LLMs), AI computing hardware, software platforms, and open-source AI solutions.
Perform hands-on installation, configuration, deployment, integration, testing, and troubleshooting of AI models and AI-related software in various computing environments, including on-premises, virtualized, and containerized platforms.
Evaluate, deploy, and optimize LLMs and other AI models, including model selection, inference serving, quantization, performance tuning, and API integration.
Assess AI infrastructure requirements, including CPU, GPU, NPU, memory, storage, and networking resources, and support capacity planning and performance optimization.
Design and implement AI solution architectures, including Retrieval-Augmented Generation (RAG), vector databases, knowledge bases, AI guardrails, model serving platforms, and application integrations.
Conduct AI model benchmarking and performance evaluations, covering model quality, response latency, throughput, concurrency, scalability, and resource utilization.
Support data preparation, prompt engineering, model evaluation, retrieval strategies, and knowledge management processes.
Coordinate with users, internal IT teams, contractors, vendors, and service providers throughout project implementation and support.
Monitor project progress, deliverables, quality standards, security requirements, and contractual compliance.
Assist in AI security and governance assessments, including model security, prompt injection risks, sensitive data protection, AI output risks, and software supply chain security.
Prepare and review technical documentation, architecture designs, specifications, evaluation reports, testing plans, operational procedures, and project reports.
Support procurement activities through preparation of technical specifications and technical evaluations of AI-related products and services.
Provide technical support and troubleshooting for AI infrastructure, platforms, applications, and services.
Keep up to date with emerging AI technologies, open-source AI ecosystems, and industry best practices.
Job Requirements:
Bachelor's degree or above in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.
Minimum 4 years of post-qualification IT experience, including at least 2 years of experience in AI, Machine Learning, Generative AI, or related technical areas.
Hands-on experience in deploying, configuring, integrating, or supporting AI and LLM solutions.
Strong understanding of LLM technologies, including model inference, tokenization, context management, prompt processing, model serving, quantization, and performance optimization.
Knowledge of AI infrastructure and hardware components, including CPU, GPU, NPU, memory, storage, and networking technologies.
Experience working in Linux environments, scripting, and container technologies (e.g., Docker, Kubernetes).
Proficiency in Python and experience integrating systems through APIs.
Familiarity with open-source AI ecosystems, including LLMs, model repositories, AI frameworks, inference engines, and related tools.
Experience evaluating AI solutions for functionality, performance, scalability, and production readiness.
Experience preparing technical documentation, specifications, architecture designs, and evaluation reports.
Experience coordinating with contractors, vendors, users, and technical teams.
Good command of written and spoken English and Chinese.
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