A leading consulting firm is seeking a Lead AI Engineer to design, build, and operationalize AI solutions at enterprise scale. The role involves leading teams to implement generative AI and machine learning solutions, ensuring ethical standards and business impact. The candidate will have experience with AI deployments across cloud platforms like Azure and AWS, and familiarity with frameworks such as MLflow and Kubeflow. Flexible working arrangements are available, reflecting the company's commitment to employee wellbeing.
Qualifications
Experience building and automating AI/ML pipelines.
Hands-on experience with Generative and Agentic AI frameworks.
Experience designing cloud-native AI architectures.
Responsibilities
Design and deliver end-to-end AI/ML systems.
Lead multi-disciplinary teams for complex requirements.
Translate AI use case requirements into data architectures.
Skills
Experience with deploying AI solutions on Azure
Experience with Generative AI frameworks
Proficiency in CI/CD and containerization
Ability to design RAG pipelines
Tools
Azure ML
Kubeflow
MLflow
Docker
Kubernetes
Job description
A leading consulting firm is seeking a Lead AI Engineer to design, build, and operationalize AI solutions at enterprise scale. The role involves leading teams to implement generative AI and machine learning solutions, ensuring ethical standards and business impact. The candidate will have experience with AI deployments across cloud platforms like Azure and AWS, and familiarity with frameworks such as MLflow and Kubeflow. Flexible working arrangements are available, reflecting the company's commitment to employee wellbeing.