• Permanent Role
• Leading Enterprise Organisation
• Greenfield Project

THE ROLE
We are seeking a Senior AI Engineer to join a leading enterprise organization and lead the development of AI predictive models to proactively identify and resolve anomalies in their AWS infrastructure. This is a pioneering project within the organization, offering you complete ownership and the opportunity to make a significant impact.

RESPONSIBILITIES

• Build, fine-tune, and deploy Bedrock agents and SageMaker models.
• Create knowledge base pipelines for job logs, failure postmortems, and lineage.
• Work with chatbot engineers to integrate LLM results into the user interface.
• Conduct testing and validation using real pipeline failures.
• Collaborate with architects and DevOps teams to establish and manage deployment pipelines.

QUALIFICATIONS

• AI/ML Engineering experience with real-world deployment.
• Strong experience with Amazon Bedrock (Claude/Titan) and SageMaker.
• Experience in LLM-based RAG, prompt engineering, and embeddings.
• Proficiency in Python, Pandas, FastAPI, and Streamlit.
• Ability to explain complex AI logic to non-technical stakeholders.

BENEFITS

• Opportunity to lead a greenfield project with complete ownership.
• Work in a cutting-edge, innovative environment.
• Collaborate with a talented and diverse team.
• Competitive salary and benefits package.

This is an exciting opportunity for an experienced AI Engineer to join a leading organization and help shape their AI journey. If this sounds like you, please apply today!