Solutions Architect

1 week ago

Makati City, National Capital Region, Philippines MIMS Pte Ltd Full time ₱1,200,000 - ₱2,400,000 per year

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.

Key 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.

Solution Implementation & Stabilization

  • 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.

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