AI Solution Architect

Reposted 21 Days Ago
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Hiring Remotely in Hong Kong
Remote
Mid level
Greentech • Chemical • Renewable Energy
A Leading Bio-Renewables Technology Platform
The Role
The AI Analyst will support AI initiatives, develop AI-enabled solutions, collaborate with teams, and apply analytical techniques to enhance business efficiency.
Summary Generated by Built In

About the Role

We are seeking an AI Solution Architect to serve as the company’s principal AI Subject Matter Expert. This role will lead the architecture and technical direction of AI solutions from concept to production. You will define how our organization leverages advanced AI capabilities—ranging from large language and multimodal models to agentic and machine learning systems—to deliver real business impact.

This position is ideal for a senior professional with a strong technical foundation in AI/ML and solid software engineering judgment, who can translate business challenges into system designs and implementation strategies. You will partner closely with business and technology stakeholders to create practical, high‑value AI applications that enhance efficiency, decision‑making, and sustainability outcomes across our operations.

Key Responsibilities

Strategic Leadership

  • Serve as the principal AI subject‑matter expert, support executive‑level communication for AI initiatives and translation of business priorities into an AI roadmap, investment cases, and measurable value
  • Collaborate with internal business stakeholders, including but not limited to commercial, supply chain, operations, finance, to translate strategic business objectives into an enterprise AI architecture plan encompassing data, model, and workflow layers
  • Define architecture standards and reusable frameworks for LLM‑based, multimodal, and agentic systems across the organization

Solution Architecture, Delivery & Governance

  • Lead end‑to‑end architecture of AI‑driven solutions, integrating foundation models, reasoning agents, and data pipelines within enterprise systems.
  • Define target operating and deployment models for AI (MLOps, model lifecycle management, versioning, governance, and observability)
  • Establish governance frameworks for data lineage, model validation, and responsible AI use
  • Provide technical leadership to development team (including offshore), ensuring solutions meet performance, cost, and reliability objectives
  • Partner with internal / external teams to ensure architectures meet enterprise security, scalability, and compliance standards

Innovation & Technical Excellence

  • Maintain deep familiarity with rapidly evolving AI ecosystems—retrieval‑augmented generation (RAG), vector databases, orchestration agents, and multi‑agent workflows
  • Evaluate new frameworks and contribute to reference implementations that accelerate future deployment across business domains
  • Mentor and upskill development team on AI system design, responsible AI practices, and architectural best practices

Qualifications

  • Bachelor’s or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Business Analytics or a related quantitative discipline with a strong AI focus
  • 8+ years of hands-on experience in AI/ML, data analytics, software/data engineering (incld. AI integration and agentic solutions), or digital transformation
  • Proven track record architecting and delivering large‑scale, AI‑enabled applications or platforms integrating LLMs, ML models, and data systems
  • Expertise in Python and modern AI/machine learning frameworks
  • Strong knowledge of AI orchestration and MLOps practices, including data pipeline management, model deployment, and workflow automation
  • Deep understanding of model lifecycle, including fine‑tuning, evaluation, monitoring, and responsible AI practices
  • Familiarity with enterprise data architectures (data lakes, feature stores, event‑driven pipelines) and integration with operational technology systems.
  • Communication skills to articulate technical tradeoffs, architectural decisions, and business value to executives and non‑technical stakeholders
  • Experience in bioenergy, sustainability, or advanced manufacturing is advantageous.Proficiency in English; Mandarin considered a plus

Why Join Us

At EcoCeres, you’ll have the opportunity to work in a fast‑growing sustainability tech environment, applying AI and analytics to real‑world industrial and commercial challenges. You will contribute to initiatives that support our mission to build a smarter and greener operation network across Asia.

EcoCeres is committed to diversity and inclusion and is proud to be an equal‑opportunity employer.

Top Skills

Ai Orchestration Frameworks
Data Visualization
Llms
Mlops Tools
Python
Quantitative Techniques
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The Company
Hong Kong
311 Employees

What We Do

EcoCeres, Inc. (“EcoCeres”) is a biofuel and bioproducts platform that turns waste into wonders with strong R&D capability. The company includes businesses of Bio-Grease Utilization and Agricultural Waste Utilization.

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