Artificial Intelligence Engineer

- Develop end-to-end AI-powered applications, workflows, and prototypes tailored to business needs

- Integrate Bedrock models within existing AWS architecture using SageMaker, Lambda, and other AWS services

- Collaborate with cross-functional teams (product, data science, DevOps) to ensure successful implementation.

Preferred Qualifications

- AWS Certifications (e.g., AWS Certified Machine Learning Specialty)

- Experience with models such as Claude, Titan, Llama 2, Mistral, or Cohere Command R+

- Understanding of enterprise deployment in regulated or large-scale environments

Communication & Collaboration

- Strong analytical thinking with the ability to translate business requirements into scalable AI solutions

- Clear communicator with collaborative experience across engineering, data science, and product teams