Job Description

As an AI Solution Architect, you will be at the forefront of our sales efforts, working closely with our clients to understand their unique system needs and develop comprehensive solutions to address clients pain points. Engaging in the RFP/RFI cycles and provide Compliance & Security responses to customer’s questions. As we are an AI Agent provider, you will work at the intersection of Large Language Models (LLMs), Voice AI, and Agentic frameworks.

Responsibilities:

Solution Architecting: Collaborate with the sales team to understand client requirements and develop customized solutions on the basis of Cloud Computing, Cyber Security, Data Centre, Storage, Network with industry best practices, such as HA, DRC and etc.
Proposal Leadership: Lead the development of comprehensive and compelling responses to Requests for Proposals (RFPs) and Requests for Information (RFIs). Collaborate with cross-functional teams to gather necessary information and ensure timely submissions.
Security Compliance: Coordinate cross‑functional inputs (DevSecOps, Privacy) and deliver polished answers for customers’ Security & Compliance questionnaire within deadlines.
Prompt Engineering: In charge of designing and testing with advanced prompt strategies to improve model accuracy and reduce hallucinations in client-specific scenarios.
LLM Testing & Evaluation: Support the optimization of models (Both Closed-Sourced and Open Sourced) for voice assistants and chatbots. Assist in tracking performance metrics like WER and TTFS for voice latency.
Benchmarking & Research: Stay updated on the latest AI research (e.g. multimodal LLM, RAG Frameworks, Agentic AI,) and conduct benchmark tests on latency, token usage, and cost-efficiency.

Requirements:

Professional Background: Proven experience in a presales or technical consulting role, with a focus on technical solutioning for 5+ years or so.
Educational Background: Possess a degree in Computer Science, Data Science, AI, or a related technical field.
Systems Engineering: Strong technical background in system components such as gateway, message queue, caching, database, and etc.
Cloud Proficiency: Strong experience with one of the major CSP technologies, including but not limited to AliCloud, AWS, GCP, Azure and etc.
Programming: Programming skills in Python. Familiarity with API calls and handling JSON/Protobuf data.
AI Interest: A strong interest in Generative AI, LLMs, and Natural Language Processing (NLP).
Problem Solving: A "hacker" mindset—willing to experiment, fail fast, and iterate on prompts or code to find a solution.
Communication: Ability to work collaboratively and explain technical findings clearly. Working language as English.