AI Solution Architect

Newbridge

Job Location:

Bangkok - Thailand

Monthly Salary: Not Disclosed

Posted on: 16 hours ago

Vacancies: 1 Vacancy

Job Summary

Our client is looking for an AI Solution Architect to turn AI ambition into real-world impact. This role is all about taking ideas and blueprints and shaping them into AI programs that can be delivered operated and scaled reliably in production.

If you love bridging strategy with hands-on engineering and enjoy working directly with stakeholders to make AI work at enterprise scale this could be a great fit.

What Youll Do

Translate business and technical requirements into end-to-end AI solutions that run in production
Design and implement systems using LLMs multi-modal FMs RAG vector databases agentic workflows and MLOps best practices
Set up secure private AI environments on cloud platforms like AWS Bedrock AgentCore SageMaker or equivalent
Guide fine-tuning distributed inference FM evaluation prompt/context engineering and semantic search optimization
Advise and influence technical and business decision makers both internally and with customers
Ensure solutions are scalable secure cost-optimized and operationally excellent

Basic Qualifications

7 years designing implementing or consulting on distributed applications
5 years customer-facing experience delivering production AI systems
Proven hands-on experience with: LLM/multi-modal FM integration fine-tuning distributed inference RAG pipelines vector DBs agentic workflows prompt engineering and MLOps
Practical experience building secure AI environments on AWS or equivalent including embeddings vector stores and semantic search
Strong communication skills across technical and non-technical audiences
Ability to influence customers and internal leaders as a trusted technical voice

Preferred Qualifications

Cloud certifications especially AWS
Track record leading complex projects with outcomes that are extensible operationally excellent and cost-optimized
Experience driving team or org-wide initiatives where business goals are still taking shape
Sharp judgment on when to simplify vs extend a solution for maximum impact
Masters or PhD in CS math statistics ML or related field
Deep experience fine-tuning LLMs/SLMs with LoRA/QLoRA instruction tuning RLHF for domain-specific tasks
Expertise architecting AI in regulated or high-security environments such as Financial Services Healthcare or Public Sector

Our client is looking for an AI Solution Architect to turn AI ambition into real-world impact. This role is all about taking ideas and blueprints and shaping them into AI programs that can be delivered operated and scaled reliably in production. If you love bridging strategy with hands-on engineerin...

If you love bridging strategy with hands-on engineering and enjoy working directly with stakeholders to make AI work at enterprise scale this could be a great fit.

What Youll Do

Translate business and technical requirements into end-to-end AI solutions that run in production
Design and implement systems using LLMs multi-modal FMs RAG vector databases agentic workflows and MLOps best practices
Set up secure private AI environments on cloud platforms like AWS Bedrock AgentCore SageMaker or equivalent
Guide fine-tuning distributed inference FM evaluation prompt/context engineering and semantic search optimization
Advise and influence technical and business decision makers both internally and with customers
Ensure solutions are scalable secure cost-optimized and operationally excellent

Basic Qualifications

7 years designing implementing or consulting on distributed applications
5 years customer-facing experience delivering production AI systems
Proven hands-on experience with: LLM/multi-modal FM integration fine-tuning distributed inference RAG pipelines vector DBs agentic workflows prompt engineering and MLOps
Practical experience building secure AI environments on AWS or equivalent including embeddings vector stores and semantic search
Strong communication skills across technical and non-technical audiences
Ability to influence customers and internal leaders as a trusted technical voice

Preferred Qualifications

Cloud certifications especially AWS
Track record leading complex projects with outcomes that are extensible operationally excellent and cost-optimized
Experience driving team or org-wide initiatives where business goals are still taking shape
Sharp judgment on when to simplify vs extend a solution for maximum impact
Masters or PhD in CS math statistics ML or related field
Deep experience fine-tuning LLMs/SLMs with LoRA/QLoRA instruction tuning RLHF for domain-specific tasks
Expertise architecting AI in regulated or high-security environments such as Financial Services Healthcare or Public Sector