AWS Agentic AI

Job description

**Job Description For AWS Agentic AI Developer** - Design, develop, and deploy Agentic AI solutions leveraging AWS Bedrock for large language model orchestration and goal-based AI agents. - Architect scalable, secure, and high-performance AI services on AWS, integrating with existing Intuit platforms. - Build data visualization and analytics dashboards in Amazon QuickSight to deliver real-time, actionable insights to customers and internal teams. - Collaborate with product managers, data scientists, and UX designers to translate business needs into AI-powered features. - Optimize AI workflows for performance, cost efficiency, and ethical AI compliance. - Work on best practices for AI integration, AWS architecture, and data visualization **Required Skills** - 6+ years of software engineering experience, with at least 2 years in AI/ML-driven application development. - Proven expertise in AWS Bedrock, Agentic AI frameworks, and LLM-based application design. - Strong proficiency in Python or Java, with experience in building and deploying microservices on AWS Lambda, ECS, or EKS. - Hands-on experience with Amazon QuickSight for building interactive dashboards and embedding analytics. - Solid understanding of data pipelines (e.g., AWS Glue, Kinesis, or Step Functions) and API integrations. - A problem-solving mindset with the ability to translate complex technical concepts into business value.