Hybrid AI & Data Solution Architect

Posted last month

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About the role

  • Architect and lead the development of end-to-end data and AI solutions
  • Experiment with and evaluate ML and GenAI models
  • Collaborate across teams to translate business needs into scalable technical solutions
  • Design and implement MLOps pipelines covering model training, deployment, monitoring and retraining
  • Collaborate with data engineers, AI engineers and product owners to turn prototypes into robust, production-ready solutions
  • Build full stack applications that connect seamlessly with analytics tools and AI models
  • Drive governance, reproducibility, and cost efficiency throughout our data landscape

Requirements

  • Extensive experience in solution architecture and full stack development within the data and AI domain
  • Proficient in front-end and back-end technologies
  • Cloud platforms experience
  • Experience with data engineering, analytics and machine learning workflows
  • Designing and deploying scalable APIs and microservices
  • Excellent English skills, verbally and in writing
  • Familiarity with Lakehouse architecture, data lakes and platforms like Databricks
  • Experience applying data governance, MLOps, and AI in real-world projects
  • Knowledge of CI/CD pipelines, containerization (Docker, Kubernetes) and DevOps practices
  • Bachelor’s or master's degree in computer science, engineering, data science, or a related field—or equivalent practical experience

Benefits

  • Flexible work arrangements
  • Professional development opportunities

Job title

AI & Data Solution Architect

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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