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AI (Infrastructure & Pipelines) Architect

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Everseen

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IT - Software Development

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Job Description:

As an AI Architect and reporting to Everseen's CTO, you will be responsible for aligning the ML development pipelines to the company standards and practices. You will participate in designing the standards and practices, ensuring their efficiency and scalability. This role bridges the gap between technical capabilities and strategic goals, ensuring scalable, secure, and efficient AI systems.

Job Responsibility:

  • Systems & Infrastructure: Architect and oversee the adoption of scalable AI infrastructures and select appropriate frameworks, tools, and technologies
  • Performance & Monitoring Standardisation: Ensure all products and systems adhere to a commonly defined performance evaluation methodology and appropriate monitoring and reporting systems are in place
  • Compliance & Ethics: Ensure AI solutions adhere to ethical standards and regulatory requirements
  • Integration: Collaborate with data scientists, engineers, and business stakeholders to integrate AI into products and services
  • Leadership: Provide technical guidance and mentorship to cross-functional teams

Requirements:

  • Strong knowledge of Machine Learning, Deep Learning
  • Generative AI & LLM Integration
  • Edge AI & Real-time Inference
  • Proficiency in Python, and ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers
  • Experience with cloud platforms (Azure, GCP)
  • Understanding of data architecture, big data technologies, and model deployment
  • Strong understanding of ML training pipelines, data lifecycle, and model serving concepts
  • Experience with GPU orchestration (e.g., NVIDIA GPU Operator, MIG)
  • Experience with MLOps and AI governance frameworks
  • Familiarity with ethical AI practices and data privacy regulations
  • Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
  • Familiarity with MLflow, Kubeflow, Airflow, Docker, Kubernetes
  • Familiarity with GitLab, Terraform, Helm

Additional Information:

Job Posted:
December 08, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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