AWS AI/ML Architect
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Job Description
AWS AI/ML Architect responsible for designing AI solutions using AWS services. Involve in building and integrating AI Agents for various applications in a remote setting.
Responsibilities:
- Design solutions using AWS services for generative AI, such as Amazon Bedrock and Amazon SageMaker.
- Define agent orchestration standards, integration with APIs and enterprise workflows.
- Develop and implement AI Agents capable of executing tasks, queries, and complex automations.
Requirements:
- Design solutions using AWS services for generative AI, such as Amazon Bedrock and Amazon SageMaker.
- Define agent orchestration standards, integration with APIs and enterprise workflows.
- Develop and implement AI Agents capable of executing tasks, queries, and complex automations.
- Build RAG (Retrieval Augmented Generation) pipelines for access to corporate data.
- Integrate agents with banking systems, internal APIs and digital platforms.
- Implement agent memory, tools and reasoning mechanisms.
- Apply AI Agents to accelerate development and modernize applications.
- Support Smart Engineering and AI-assisted development initiatives.
- Ensure adherence to security, compliance and data governance requirements for the financial sector.
- Define observability models and performance metrics for AI agents.
- Monitor response quality, latency and inference cost.
Benefits:
- Experience with Agents Builder / AI Agents development
- Cloud Architecture experience (AWS)
- Experience with Amazon Bedrock and Amazon SageMaker
- Expertise in RAG (Retrieval Augmented Generation)
- Knowledge of MLOps
- Knowledge of Spring Boot / Java
- REST API integration
- Agent and workflow orchestration
- Implementation of agent memory, tools and reasoning
- Integration with corporate systems and digital platforms
- AI observability and monitoring (response quality, latency and inference cost)
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