Responsibilities
- Develop end-to-end AI-powered applications, workflows, and prototypes tailored to business needs.
- Integrate Bedrock models into existing AWS architecture using SageMaker, Lambda, and related AWS services.
- Collaborate with product, data science, and DevOps teams to ensure successful implementation and delivery.
Preferred Qualifications
- AWS Certifications such as AWS Certified Machine Learning - Specialty.
- Hands-on experience with foundation models such as Claude, Titan, Llama 2, Mistral, or Cohere Command R+.
- Knowledge of enterprise deployment in regulated or large-scale environments.
Skills & Competencies
- Strong analytical skills with the ability to translate business requirements into scalable AI solutions.
- Clear communicator with experience working closely across engineering, data science, and product teams.
EA License: R1873481
Company EA License: 11C4879
