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Job Description:

Job Purpose

To design develop and deploy Generative AI (GenAI) solutions leveraging AWS cloud services. This role will accelerate GenAI adoption across Asia by building scalable prototypes and integrating AI capabilities into enterprise workflows.

Expertise

- Generative AI & LLMs: Hands-on experience in building AI applications using large language models.
- AWS Gen AI Services: Proficiency in AWS Bedrock Amazon Q Sagemaker and other AI related AWS services (e.g. Textract Rekognition Comprehend Lex Transcribe etc.).

- Good experience on AWS basic services like IAM EC2 RDS VPC S3 and Serverless services
- Programming: Strong Python skills for AI/ML development reusable libraries and API integrations.
- Agentic AI Concepts: Understanding and implementation of autonomous AI agents.
- Cloud-Native Development: Expertise in deploying AI solutions on AWS environments.
- DevOps & CI/CD: Familiarity with automation pipelines for AI applications.

- Basic understanding of design fundamentals and solution architecture concepts.

Responsibilities

- Develop and implement GenAI proof-of-concept solutions aligned with business use cases.
- Integrate AWS AI services into enterprise applications for tasks like document processing fraud detection and conversational AI.
- Collaborate with architects and project managers to ensure solution scalability and compliance.
- Optimize AI models for performance and cost efficiency in cloud environments.
- Maintain documentation and reusable code libraries for AI components.
- Support functional testing and user demos for GenAI prototypes.

- Design and architect GenAI solutions for AWS cloud deployment.

Skills and Education

Must-Have Skills:
- 10 years of overall experience; 3 years in GenAI and AI application development.
- Strong knowledge of AWS services including AWS GenAI offerings.
- Proficiency in Python and API lifecycle development.
- Experience with chatbot development and conversational AI systems.
- Familiarity with DevOps tools and CI/CD processes.

- Experience in hosting GenAI solutions on AWS cloud platform.

Nice-to-Have Skills:
- Containerization (Docker/Kubernetes) for AI deployment.
- Knowledge of relational and NoSQL databases.
- Agile development experience.

- Good to have knowledge on Terraform.

- Certification in AWS

Education:
- Bachelors or Masters degree in Computer Science AI/ML or related field.

Job Category:

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