Pre-sales Solution Architect (AWS)

Ho Chi Minh City - Vietnam

Monthly Salary: Not Disclosed

Experience Required: 5-7years

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

ACG3112JOB

Our client is a top-notch technology company that is looking for a qualified candidate to join their firm.

Presales & Customer Engagement

Lead technical discovery sessions workshops and proof-of-concept engagements with Vietnamese-speaking clients.
Analyze customer challenges and translate them into effective cloud and Generative AI solutions using AWS technologies.
Deliver presentations of solution architectures and articulate business value propositions to executive-level stakeholders (CxOs).

Solution Architecture & Generative AI

Design scalable secure and robust AWS cloud architectures encompassing compute storage networking and security components.
Develop and demonstrate Generative AI use cases leveraging AWS services such as:

Amazon Bedrock (including Claude Llama Titan models etc.)
Amazon SageMaker for large language model fine-tuning and prompt orchestration
Amazon Q Developer & Q Business platforms
Retrieval-Augmented Generation (RAG) architectures integrating S3 OpenSearch Aurora PostgreSQL and DynamoDB

Build hands-on proof-of-concepts to showcase application value in areas like chatbots knowledge assistants content generation and call center AI solutions.

Pre Sales Support

Prepare comprehensive responses to RFPs including solution designs architecture diagrams and cloud migration or modernization roadmaps.
Collaborate closely with implementation teams to ensure proposed solutions are feasible and aligned with delivery capabilities.
Develop reusable Generative AI accelerators and demonstration assets to enhance the efficiency of presales processes.

Requirements

Technical Expertise

4 to 8 years of IT experience with a minimum of 3 years dedicated to cloud architecture particularly on AWS.
Demonstrated hands-on experience in developing Generative AI applications.
Strong familiarity with core AWS services such as EC2 S3 Lambda RDS/Aurora VPC IAM CloudFront API Gateway Step Functions and SQS.
Knowledge of modernization methodologies including migration from monolithic applications to microservices containerization (EKS/ECS) and serverless architectures.

Generative AI Proficiency (Mandatory)

Experience working with AWS Bedrock Amazon SageMaker or comparable large language model platforms.
Expertise in designing and executing Retrieval-Augmented Generation (RAG) pipelines.
Practical knowledge of vector databases such as OpenSearch.
Proven ability to develop proof-of-concept solutions including chatbots digital copilots text summarizers or multilingual AI assistants.

Pre Sales Competencies

Excellent storytelling and solution pitching capabilities.
Skilled in responding to RFPs and preparing client-facing proposals.
Adept at engaging C-level executives and effectively communicating complex technical content with clarity.

Language Requirements

Native or professional fluency in Vietnamese.
Strong proficiency in English both written and verbal.

Preferred Certifications

AWS Certified Solutions Architect Professional.
AWS Certified AI Practitioner or Machine Learning Specialty.

Contact: Nhat Anh Nguyen

Due to the immense number of applications only shortlisted candidates will be contacted.

ACG3112JOBOur client is a top-notch technology company that is looking for a qualified candidate to join their firm.Presales & Customer EngagementLead technical discovery sessions workshops and proof-of-concept engagements with Vietnamese-speaking clients.Analyze customer challenges and translate th...

ACG3112JOB

Our client is a top-notch technology company that is looking for a qualified candidate to join their firm.

Presales & Customer Engagement

Lead technical discovery sessions workshops and proof-of-concept engagements with Vietnamese-speaking clients.
Analyze customer challenges and translate them into effective cloud and Generative AI solutions using AWS technologies.
Deliver presentations of solution architectures and articulate business value propositions to executive-level stakeholders (CxOs).

Solution Architecture & Generative AI

Design scalable secure and robust AWS cloud architectures encompassing compute storage networking and security components.
Develop and demonstrate Generative AI use cases leveraging AWS services such as:

Amazon Bedrock (including Claude Llama Titan models etc.)
Amazon SageMaker for large language model fine-tuning and prompt orchestration
Amazon Q Developer & Q Business platforms
Retrieval-Augmented Generation (RAG) architectures integrating S3 OpenSearch Aurora PostgreSQL and DynamoDB

Build hands-on proof-of-concepts to showcase application value in areas like chatbots knowledge assistants content generation and call center AI solutions.

Pre Sales Support

Prepare comprehensive responses to RFPs including solution designs architecture diagrams and cloud migration or modernization roadmaps.
Collaborate closely with implementation teams to ensure proposed solutions are feasible and aligned with delivery capabilities.
Develop reusable Generative AI accelerators and demonstration assets to enhance the efficiency of presales processes.

Requirements

Technical Expertise

4 to 8 years of IT experience with a minimum of 3 years dedicated to cloud architecture particularly on AWS.
Demonstrated hands-on experience in developing Generative AI applications.
Strong familiarity with core AWS services such as EC2 S3 Lambda RDS/Aurora VPC IAM CloudFront API Gateway Step Functions and SQS.
Knowledge of modernization methodologies including migration from monolithic applications to microservices containerization (EKS/ECS) and serverless architectures.

Generative AI Proficiency (Mandatory)

Experience working with AWS Bedrock Amazon SageMaker or comparable large language model platforms.
Expertise in designing and executing Retrieval-Augmented Generation (RAG) pipelines.
Practical knowledge of vector databases such as OpenSearch.
Proven ability to develop proof-of-concept solutions including chatbots digital copilots text summarizers or multilingual AI assistants.

Pre Sales Competencies

Excellent storytelling and solution pitching capabilities.
Skilled in responding to RFPs and preparing client-facing proposals.
Adept at engaging C-level executives and effectively communicating complex technical content with clarity.