Ready to build mission-critical AI for the C-Suite?
Our client is a globally diversified, privately held group headquartered in Hong Kong. They are currently scaling AI as a core, mission-critical capability across their global operations.
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We are looking for a highly autonomous Senior AI Solutions Engineer to sit directly in the CEO’s office. In this hands-on builder role, you will turn ambiguous executive problems into dependable software, AI-enabled workflows, and decision-support tools. This is not a theoretical research or prompt-only role; you will extract data, build useful applications, and ship production-grade solutions that directly improve executive productivity and decision speed.
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What You’ll Do:
Agentic AI & Data Pipelines:Â Design and build autonomous agents and data pipelines that pull, structure, and synthesize information from internal systems and external data platforms.
Executive Dashboards:Â Build reliable interfaces, backend services, and APIs that provide clear, low-latency insights to drive high-level strategic decisions.
Prototype to Production:Â Rapidly prototype bespoke AI tools for the CEO, and operate MLOps/LLMOps pipelines (packaging, versioning, deployment, monitoring) to mature successful prototypes into production services.
Scale & Secure:Â Anchor system reliability and scalability by applying security-by-design principles, implementing shared platform capabilities (secrets management, CI/CD pipelines), and collaborating with wider tech teams on governance and runbooks.
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What You Bring to the Table:
Experience:Â 8+ years of hands-on experience as a software, platform, AI, or data engineer with a track record of delivering production-grade tools.
AI/LLM Expertise:Â Real-world experience deploying AI capabilities, including familiarity with agent frameworks, RAG, vector stores, and tool orchestration.
Core Engineering:Â Strong Python skills for backend services and data handling, plus practical cloud engineering experience (AWS, Azure, or Google Cloud).
Production Discipline:Â Strong grounding in CI/CD, testing, infrastructure automation, and MLOps/LLMOps disciplines.
Education:Â A degree in Computer Science, Engineering, Data, Mathematics, or a similar technical discipline.
Bonus Points:Â Experience with containerization (Docker, Kubernetes), ML tooling (MLflow, Kubeflow), and a background in building tools for senior executives or high-consequence decision environments.
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Why Join?
You will bypass traditional corporate latency, working directly with executive leadership to deploy AI solutions that have an immediate, tangible impact on global operations.
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If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Abdul Rehman at resume@pinpointasia.com and put Senior AI Solutions Engineer (Office of the CEO) - J13000 in the subject header.
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Data provided is for recruitment purposes only.
