Solutions Architect

Overview

As the technical core of AIDE (AI Delivery & Enablement), you will design and implement rapid, practical solutions for challenges across the company's diverse business and operations units using optimal AI technologies. As a business partner to the BizTech PM, you will be responsible for the end-to-end technical lifecycle—from assessing technical feasibility and building rapid PoCs (Proofs of Concept) to transitioning them into stable, production systems—driving business value through AI enablement. Responsibilities

Evaluate & Design Technical Solutions Work in close partnership with the BizTech PM to analyze and evaluate the needs of business and operations units from a technical perspective. Select the optimal technology stack (e.g., external APIs, low-code tools, custom scripts) for each challenge and design a feasible solution architecture. Rapid Prototyping & Value Validation Utilize frameworks and low-code tools like Streamlit, Dify, and n8n to rapidly build prototypes (PoCs) that bring ideas to life. Quickly validate business value and iterate based on stakeholder feedback. Implement and deploy validated PoCs as stable, reliable systems for production use. Build secure and trustworthy solutions in compliance with internal data governance and security policies (e.g., handling of L2 / L3 data). Develop ETL pipelines and API integrations for data connectivity as needed. Adopt New Technologies & Contribute to the Team Continuously research and evaluate the latest AI-related technologies, tools, and best practices to enhance the team's technical capabilities. Document the knowledge from developed solutions to improve reusability and maintainability within the team. Required Skills & Experience

Experience developing applications using LLM APIs (e.g., OpenAI, Anthropic, Google) and frameworks like LangChain. Experience in backend or data processing application development using Python. Experience building workflows using low-code / automation platforms like n8n or Zapier. Experience in rapid web application prototyping using frameworks like Streamlit, Dify, or Gradio. Experience developing systems that integrate with various SaaS platforms and databases via APIs. Fundamental knowledge and practical experience with SQL or NoSQL databases. Excellent communication skills, with the ability to collaborate effectively with non-technical business stakeholders and translate requirements into technical specifications. Preferred Skills & Experience

Experience with container environments using Docker and Kubernetes. Basic knowledge of MLOps / DevOps, including CI / CD pipelines. Experience building on and utilizing cloud platforms (AWS, GCP, Azure, etc.). Familiarity with knowledge graphs (e.g., Neo4j). Ideal Candidate Profile

Pragmatic :

You select the best tool for the job, rather than defaulting to a specific technology, to solve problems effectively. Fast Learner :

You are self-motivated to learn, catch up with, and experiment with new technologies and tools. Hands-On :

You prefer a hands-on approach, building working solutions to quickly validate value rather than spending extensive time on perfect design. Collaborative :

You enjoy working closely with business partners and thrive on achieving success as part of a team. Seniority level

Mid-Senior level Employment type

Full-time Job function

Information Technology and Strategy / Planning Industries : Technology, Information and Media Referrals increase your chances of interviewing at MIMS Pte Ltd. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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