AWS Agentic AI
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.