Qualifications

• 5+ years in cloud architecture, AI, machine learning, or data engineering.
• Hands-on experience with Generative AI and Large Language Models.
• Proficient in Amazon Bedrock, SageMaker, and AI app development.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures and vector databases.
• Strong consulting and communication skills for customer engagement.
• Preferred AWS Solutions Architect certification.
• Preferred AWS AI Practitioner or Machine Learning Specialty certification.

Responsibilities

• Assess business use cases for AI and machine learning solutions.
• Develop comprehensive AI adoption roadmaps and governance frameworks.
• Design AI architectures utilizing AWS services like Bedrock and SageMaker.
• Build proof-of-concept and pilot AI solutions to validate ideas.
• Develop RAG architectures and establish supporting knowledge bases.
• Implement automation and workflow solutions powered by AI.
• Establish responsible AI practices, including governance controls.
• Conduct training sessions and workshops for stakeholders.

Benefits

• Flexible work arrangements including remote options.
• Opportunities for professional development and certifications.
• Collaborative and innovative work culture.
• Access to cutting-edge AI technologies and resources.