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Lead – Technical Architect

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Onsite

Lead – Technical Architect

The Great Eagle Co Ltd

Lead – Technical Architect

Skills

Data ScienceMicroservicesMachine LearningAICompliance

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

7 August 2026

What they need


About the Role

We are looking for a Lead - Technical Architecture to drive the technical vision and architecture of our AI platforms and solutions. This hands-on leadership role combines deep technical expertise with the ability to lead a team of solution architects and engineers in designing scalable, secure, and high-performance AI systems.

Key Responsibilities

  • Lead the design and evolution of the enterprise AI technical architecture, including data pipelines, model serving, MLOps platforms, and generative AI infrastructure.
  • Define and enforce technical standards, best practices, and reference architectures for AI/ML systems.
  • Architect end-to-end AI solutions that are scalable, reliable, cost-efficient, and compliant with responsible AI principles.
  • Lead a team of solution architects, providing technical guidance and mentorship.
  • Collaborate with Data Science, Engineering, and Infrastructure teams to ensure seamless integration of AI capabilities into core platforms and products.
  • Evaluate and select AI/ML tools, frameworks, and cloud services; drive proof-of-concepts and technology roadmaps.
  • Oversee technical governance, performance optimization, security, and compliance of AI systems.
  • Stay ahead of emerging AI technologies and bring innovative architectural patterns into the organization.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 10+ years of experience in software architecture, with at least 6 years focused on AI/ML systems.
  • Strong expertise in cloud-native architectures, microservices, containerization, and data platforms.
  • Deep hands-on experience with MLOps, model serving, vector databases, and LLMOps.
  • Proven leadership experience guiding technical teams and complex architecture initiatives.
  • Excellent problem-solving, communication, and cross-functional collaboration skills.
  • Experience with generative AI, RAG architectures, agentic systems, or large-scale ML infrastructure is highly desirable.

We are an equal opportunity employer and welcome applications from all qualified candidates.

Personal data collected will be treated as strictly confidential and used only for recruitment-related purposes. Applicants who have not heard from us within four weeks may consider their applications unsuccessful. All personal data will be destroyed after 24 months.

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