- Singapore
Full Time AI Architect Jobs, Salary up to SGD 15,000 in 3 CUBED BUSINESS CONSULTING PTE. LTD. - Maukerja
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Job Description
Responsibilities
Role Summary
Architect and lead enterprise-scale
AI, GenAI and Agentic AI solutions
across Knowledge Management, Data Engineering, Data Management and Application Development use cases, from solution design and
PoC/MVP through implementation to production
.
Design
enterprise AI solutions and platforms
integrating structured and unstructured data, including intelligent search, RAG, AI assistants, intelligent document processing, data intelligence and AI-enabled automation.
Define end-to-end AI architecture covering
data ingestion and engineering → data management/governance → AI/ML and GenAI → models/agents → integration → guardrails → deployment and observability
, leveraging cloud and modern data/AI platforms such as
AWS, Azure
.
Identify and architect
AI-enabled use cases across the data and application lifecycle
, including data discovery, data quality, metadata management, engineering automation, code generation/testing, application modernisation and operational support.
Provide technical leadership across
AI/ML, Data Engineering, Data Management and Cloud
, translating business requirements into scalable, secure and production-ready AI solutions.
Key Experience & Skills Required
Strong hands-on experience architecting
enterprise AI, GenAI, RAG and Agentic AI solutions
, including LLMs, embeddings, hybrid/vector search, grounding, multi-agent orchestration, tool integration and model routing.
Strong
AWS AI/cloud architecture experience
, particularly with
Amazon Bedrock, AgentCore, Knowledge Bases, Guardrails, OpenSearch and core AWS data/integration services
; experience with equivalent
Azure AI services
and the ability to architect
cloud-agnostic solutions
are highly desirable.
Experience with
modern data/AI platforms such as Databricks
, covering Lakehouse architecture, data engineering, data pipelines, data quality and governance, AI/ML workloads, and integration of enterprise data with GenAI and Agentic AI solutions.
Experience architecting and implementing
AI use cases across Knowledge Management, Data Engineering, Data Management and ADLC
, such as intelligent search and knowledge discovery, metadata enrichment, data quality automation, engineering productivity, code/test generation and AI-driven operational automation.
Proven experience designing
production-grade, secure and governed AI solutions
, including IAM/RBAC, Responsible AI, guardrails, PII/data protection, human-in-the-loop and AI/LLMOps, while balancing
accuracy, scalability, performance, security, cost and maintainability
.
Experience in
AI/RAG evaluation and observability
, defining and monitoring evaluation metrics such as
Recall, Precision, Faithfulness, Completeness, Relevance and Answer Correctness
, along with LLM/agent performance, latency, token usage and operational monitoring.
Experience & Qualifications
10+ years
of overall experience in software, data or cloud architecture, with substantial recent experience in
AI/ML and GenAI solution architecture
.
Proven experience taking at least
one enterprise AI/GenAI solution from architecture through production
, beyond PoC or experimentation.
AWS architecture/AI certification preferred
; Azure AI Architecture certifications would be an added advantage.
Experience working in
large-scale enterprise or regulated environments
with strong security, governance and auditability requirements is desirable
3 Cubed Business Consulting offers IT Consulting, Solutions and Services to Enterprises in various verticals. Since its inception in 2015, it is Headquartered in Singapore offering solutions that matter.
The company provides comprehensive end-to-end IT solutions to meet the diverse needs of its clients in Asia Pacific region.
We believe in our Customer’s Purpose and we Perform with Passion.
Employment Agency No.: 21S0778
Architect and lead enterprise-scale
AI, GenAI and Agentic AI solutions
across Knowledge Management, Data Engineering, Data Management and Application Development use cases, from solution design and
PoC/MVP through implementation to production
.
Design
enterprise AI solutions and platforms
integrating structured and unstructured data, including intelligent search, RAG, AI assistants, intelligent document processing, data intelligence and AI-enabled automation.
Define end-to-end AI architecture covering
data ingestion and engineering → data management/governance → AI/ML and GenAI → models/agents → integration → guardrails → deployment and observability
, leveraging cloud and modern data/AI platforms such as
AWS, Azure
.
Identify and architect
AI-enabled use cases across the data and application lifecycle
, including data discovery, data quality, metadata management, engineering automation, code generation/testing, application modernisation and operational support.
Provide technical leadership across
AI/ML, Data Engineering, Data Management and Cloud
, translating business requirements into scalable, secure and production-ready AI solutions.
Key Experience & Skills Required
Strong hands-on experience architecting
enterprise AI, GenAI, RAG and Agentic AI solutions
, including LLMs, embeddings, hybrid/vector search, grounding, multi-agent orchestration, tool integration and model routing.
Strong
AWS AI/cloud architecture experience
, particularly with
Amazon Bedrock, AgentCore, Knowledge Bases, Guardrails, OpenSearch and core AWS data/integration services
; experience with equivalent
Azure AI services
and the ability to architect
cloud-agnostic solutions
are highly desirable.
Experience with
modern data/AI platforms such as Databricks
, covering Lakehouse architecture, data engineering, data pipelines, data quality and governance, AI/ML workloads, and integration of enterprise data with GenAI and Agentic AI solutions.
Experience architecting and implementing
AI use cases across Knowledge Management, Data Engineering, Data Management and ADLC
, such as intelligent search and knowledge discovery, metadata enrichment, data quality automation, engineering productivity, code/test generation and AI-driven operational automation.
Proven experience designing
production-grade, secure and governed AI solutions
, including IAM/RBAC, Responsible AI, guardrails, PII/data protection, human-in-the-loop and AI/LLMOps, while balancing
accuracy, scalability, performance, security, cost and maintainability
.
Experience in
AI/RAG evaluation and observability
, defining and monitoring evaluation metrics such as
Recall, Precision, Faithfulness, Completeness, Relevance and Answer Correctness
, along with LLM/agent performance, latency, token usage and operational monitoring.
Experience & Qualifications
10+ years
of overall experience in software, data or cloud architecture, with substantial recent experience in
AI/ML and GenAI solution architecture
.
Proven experience taking at least
one enterprise AI/GenAI solution from architecture through production
, beyond PoC or experimentation.
AWS architecture/AI certification preferred
; Azure AI Architecture certifications would be an added advantage.
Experience working in
large-scale enterprise or regulated environments
with strong security, governance and auditability requirements is desirable
3 Cubed Business Consulting offers IT Consulting, Solutions and Services to Enterprises in various verticals. Since its inception in 2015, it is Headquartered in Singapore offering solutions that matter.
The company provides comprehensive end-to-end IT solutions to meet the diverse needs of its clients in Asia Pacific region.
We believe in our Customer’s Purpose and we Perform with Passion.
Employment Agency No.: 21S0778
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