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Open nowFirst seen 3 days ago

Senior AI Solutions Architect

Hyphen Connect71 open roles

Where
Kuala Lumpur, Malaysia
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Your applicationOpen nowSenior AI Solutions ArchitectHyphen Connect · Kuala Lumpur, Malaysia

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Hyphen Connect's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 3 days ago

The posting

Our client is a global fintech that originated as the digital payment engine for e-commerce industries.

Responsibilities

  1. Engage with top-tier industry clients to deeply understand their business scenarios and requirements.
  2. Leverage LLM-centric thinking to design and implement complex Agent architectures and Workflow systems—covering the full lifecycle from solution design to code implementation. Enable rapid prototyping and clearly demonstrate business value to help clients grasp the value and practical application of AI. Bridge the gap between LLM tech demos and real-world business value creation, driving projects from exploration into formal implementation.
  3. Possess strong communication/presentation skills, with the ability to engage directly and frequently on-site with client executives, business users, and technical teams. Focus on rapid prototyping and technical validation; once a project moves into formal development, act as a critical bridge between the client and internal product/R&D teams to ensure accurate translation and execution of business requirements.
  4. Rapid Prototyping & Technical Validation:Quickly build minimal viable demos or PoC prototypes based on client needs (low-code tools, simple scripts, or LLM Agent frameworks). Demonstrate PoC outcomes to clients, clearly articulating solution logic, application methodology, and expected business value. Rapidly iterate on demos/PoCs based on client feedback to align stakeholders on requirements and use cases.
  5. Project Execution & Communication Bridge:After the project transitions from PoC to formal development, support product/engineering teams with clear technical specifications, workflow diagrams, and use cases. Regularly review project progress and guide the product/engineering team to keep the client's intelligent application solution on the right technical track.

Requirements

  1. Bachelor's degree or higher in Computer Science, Communications, AI, or a related field (preferred).
  2. Proven experience communicating on-site with clients in both Chinese and English; ability to quickly grasp business contexts.
  3. Solid understanding of LLM fundamentals; proficiency in evaluating LLM performance and output quality; familiarity with post-training techniques (fine-tuning, RLHF).
  4. Hands-on experience with LLM-related APIs and AI application architectures, including RAG, Agents, and Workflows. Capable of designing and implementing sophisticated multi-Agent collaborative systems.
  5. Demonstrated on-site client engagement experience, strong technical solution design capability, and ability to communicate effectively with client technical leadership. Able to rapidly translate business needs into actionable technical solutions or verifiable prototypes.
  6. Highly proactive, with a strong sense of ownership and accountability for project success.

Preferred:

  • Project experience in AI Agents, enterprise-grade AI applications, or enterprise digital transformation.
  • Background in consulting, vendor-side delivery, or pre-sales/solutioning roles.
  • Domain knowledge of banking or telecommunications industries.
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