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.

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.

What You’ll Do:

1. Agentic AI & Data Pipelines: Design and build autonomous agents and data pipelines that pull, structure, and synthesize information from internal systems and external data platforms.
2. Executive Dashboards: Build reliable interfaces, backend services, and APIs that provide clear, low-latency insights to drive high-level strategic decisions.
3. Prototype to Production: Rapidly prototype bespoke AI tools for the CEO, and operate MLOps/LLMOps pipelines (packaging, versioning, deployment, monitoring) to mature successful prototypes into production services.
4. Scale & Secure: 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.

What You Bring to the Table:

1. Experience: 8+ years of hands-on experience as a software, platform, AI, or data engineer with a track record of delivering production-grade tools.
2. AI/LLM Expertise: Real-world experience deploying AI capabilities, including familiarity with agent frameworks, RAG, vector stores, and tool orchestration.
3. Core Engineering: Strong Python skills for backend services and data handling, plus practical cloud engineering experience (AWS, Azure, or Google Cloud).
4. Production Discipline: Strong grounding in CI/CD, testing, infrastructure automation, and MLOps/LLMOps disciplines.
5. Education: A degree in Computer Science, Engineering, Data, Mathematics, or a similar technical discipline.
6. Bonus Points: Experience with containerization (Docker, Kubernetes), ML tooling (MLflow, Kubeflow), and a background in building tools for senior executives or high-consequence decision environments.

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.

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 putSenior AI Solutions Engineer (Office of the CEO) - J13000 in the subject header.

Data provided is for recruitment purposes only.

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