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AI ML Architect

1 hour, 51 minutes ago
Canada
Full-time
Lead
AI Engineer
Software Development
CI/CD Docker Generative AI Kubeflow Kubernetes LLM Machine Learning Microservices MLflow MLOps Python PyTorch SageMaker Scikit-learn TensorFlow XGBoost
Apply Now
3Pillar Global

3Pillar Global

3Pillar Global is an innovative product development company that builds breakthrough software products to power digital businesses. They offer a range of services including product strategy, management, user experience design, and software engineering ...

Internet Software & Services
1K-5K
Founded 2006
$26M raised
View All Jobs 37

Description

  • Define end-to-end architecture for AI/ML and generative AI systems, including data pipelines, model training and inference, and MLOps.
  • Serve as a strategic technical advisor to clients by leading solution design discussions and presenting AI/ML architectures.
  • Architect scalable solutions using cloud-native AI platforms such as Azure ML, AWS SageMaker, or GCP Vertex AI.
  • Lead integration of generative AI capabilities into enterprise applications using APIs or open-source models.
  • Design retrieval-augmented generation systems using vector databases such as Pinecone, Weaviate, and FAISS.
  • Guide teams on MLOps practices for CI/CD, model versioning, monitoring, and automated retraining.
  • Evaluate build-vs-buy options and benchmark AI tools and platforms.
  • Assess emerging AI, ML, and GenAI technologies and recommend adoption strategies.
  • Mentor technical teams and support solution architects, data engineers, and ML engineers.
  • Ensure ethical and responsible AI practices, including bias detection, interpretability, and governance.
  • Collaborate with leadership to align machine learning strategy with business objectives.
  • Represent the organization at industry conferences, workshops, and events.
  • Drive cross-functional collaboration to identify machine learning opportunities for business challenges.

Requirements

  • Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • 12+ years of industry experience in machine learning or data science with a track record of delivering impactful projects.
  • Ph.D. is highly desirable.
  • Strong understanding of AI architecture patterns such as RAG, agent-based systems, and prompt orchestration.
  • Deep experience with Python and ML libraries such as scikit-learn, XGBoost, PyTorch, and TensorFlow.
  • Hands-on experience with GenAI APIs such as OpenAI, Claude, and Gemini, as well as prompt engineering, embeddings, and fine-tuning.
  • Experience designing enterprise AI systems with MLOps tools such as MLflow, Kubeflow, and SageMaker Pipelines.
  • Familiarity with APIs, microservices, and containerization technologies such as Docker and Kubernetes.
  • Experience in data governance, model risk management, and compliance.
  • Strong leadership and communication skills with the ability to influence stakeholders at all levels.
  • Demonstrated ability to think strategically and drive innovation.
  • Good understanding of software product development and how to integrate AI/ML components into software products.
  • Experience working with large datasets in a production environment.
  • Published research in top-tier conferences or journals is a plus.

Benefits

  • Flexible work environment with remote-first, office, or hybrid options.
  • Global team environment with opportunities to learn from diverse international colleagues.
  • Well-being focus, including a company-wide trimester dedicated to wellbeing.
  • Fitness offerings and mental health plans, depending on country.
  • Generous time off.
  • Accelerated career growth and professional development opportunities across projects, offerings, and industries.
  • Equal opportunity employer committed to diversity and inclusion.

Interested in this position?

Apply directly on the company website

Apply Now

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