- North Bridge Road Downtown Core Central Region (Singapore) Singapore
ELLIOTT MOSS CONSULTING PTE. LTD. Hiring! Full Time Solution Architect in Central Region (Singapore), Earn up to SGD 15,000 - Ricebowl
Solution Architect
ELLIOTT MOSS CONSULTING PTE. LTD.
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Job Description
Responsibilities
We are looking for an experienced
Solution Architect – Multi-Cloud & Gen AI Platform
to join our Digital team. In this role, you will work closely with clients and engineering teams to translate complex business requirements into scalable, secure, and innovative technology solutions.
The ideal candidate will have strong architecture experience across
AWS, Azure, and GCP
, along with hands-on expertise in
Generative AI, Agentic AI, cloud platforms, data engineering, integration, security, and LLMOps
.
Key Responsibilities
Translate business objectives into scalable
Gen AI and Agentic AI architectures
, including RAG and agent-based solutions.
Own end-to-end solution architecture across
applications, data, integration, security, infrastructure, and observability
.
Provide technical leadership during client engagements, solutioning, implementations, and new business opportunities.
Lead hands-on
proofs of concept (POCs)
and innovative solutions, taking them from concept through MVP and production.
Establish and implement
LLMOps practices
, including model evaluation, tracing, observability, guardrails, prompt management, versioning, and quality metrics.
Design data architectures covering
batch and streaming pipelines, vector search, APIs, events, and agent/tool contracts
.
Evaluate and recommend cloud, platform, and model options based on
cost, performance, scalability, and business requirements
.
Design solutions with
security and privacy by design
, including Zero Trust, IAM/OIDC, secrets management, KMS, data minimization, and compliance controls.
Define delivery plans and technical backlogs, coordinate multidisciplinary teams, and lead architecture and code reviews.
Engage with stakeholders to understand requirements, develop technology roadmaps, provide estimates, and communicate risks, benefits, and ROI.
Mentor and coach engineering teams and establish reusable
architecture patterns, templates, frameworks, and reference implementations
.
Stay current with emerging technologies across
Gen AI, Agentic AI, cloud, data, and enterprise architecture
.
Required Qualifications & Experience
Bachelor’s degree or equivalent qualification.
12+ years of experience
in enterprise application, data platform, or solution architecture.
At least
2 years of experience designing and delivering production-grade Gen AI solutions
.
Strong understanding and practical exposure to
Data Science and Machine Learning
.
Minimum
3 years of hands-on experience in each of AWS, Azure, and GCP
environments.
At least
1 year of hands-on experience with Generative AI and Agentic AI technologies
.
Strong experience with cloud-native technologies, including
containers/Kubernetes, serverless architectures, and Infrastructure as Code (Terraform/CloudFormation)
.
Hands-on experience with at least one
RAG/Agent framework or technology
, such as: LangChain / LangGraphDSPyOpenAI / Anthropic tool useDatabricks AgentsEquivalent agentic AI platforms
Practical experience with
LLMOps
, including: LLM evaluation and task-based metricsLLM-as-a-JudgeTracing and observability using tools such as MLflow/OpenTelemetryPrompt and model version managementAI CI/CD practices
Strong data and lakehouse experience with technologies such as
Delta Lake, Apache Iceberg, or Hudi
.
Experience with streaming technologies such as
Kafka, Kinesis, or Pub/Sub
.
Experience with vector databases/search technologies such as
Databricks Vector Search, pgvector, Pinecone, Milvus, Vespa
, or equivalent.
Strong API and integration architecture experience using
REST, gRPC, GraphQL, and event-driven architectures
.
Strong understanding of API contracts, versioning, and integration patterns.
Experience with security and governance frameworks, including
OAuth2/OIDC, JWT, mTLS, secrets management, data classification, lineage, access policies, and AI safety/guardrails
.
Good understanding of
web and mobile application architectures
.
Strong client-facing and stakeholder-management skills, with the ability to manage expectations and build trusted relationships.
Ability to manage multiple client opportunities and initiatives simultaneously.
Excellent communication and documentation skills, with the ability to explain complex technical concepts, costs, risks, benefits, and ROI to both technical and non-technical stakeholders.
Strong problem-solving mindset with a passion for innovation, continuous learning, and achieving challenging goals.
Preferred / Required Certifications
Candidates should hold relevant industry-recognized certifications in one or more of the following areas:
AWS Solution Architect / AI / Data Science certifications
Microsoft Azure Solution Architect / AI / Data certifications
Google Cloud Solution Architect / AI / Data certifications
TOGAF 9 or equivalent Enterprise Architecture certification
Other recognized industry-standard
Cloud, AI, Data, or Solution Architecture certifications
ELLIOTT MOSS CONSULTING PTE. LTD.
We at Elliott Moss Consultng inspire individuals and organisations to work more effectively and efficiently, and create greater choice in the work domain, for the benefit of all concerned. Our primary mission is to provide our clients with the best suitable employees who bring success to your organiza,on and allows us to grow together.
Solution Architect – Multi-Cloud & Gen AI Platform
to join our Digital team. In this role, you will work closely with clients and engineering teams to translate complex business requirements into scalable, secure, and innovative technology solutions.
The ideal candidate will have strong architecture experience across
AWS, Azure, and GCP
, along with hands-on expertise in
Generative AI, Agentic AI, cloud platforms, data engineering, integration, security, and LLMOps
.
Key Responsibilities
Translate business objectives into scalable
Gen AI and Agentic AI architectures
, including RAG and agent-based solutions.
Own end-to-end solution architecture across
applications, data, integration, security, infrastructure, and observability
.
Provide technical leadership during client engagements, solutioning, implementations, and new business opportunities.
Lead hands-on
proofs of concept (POCs)
and innovative solutions, taking them from concept through MVP and production.
Establish and implement
LLMOps practices
, including model evaluation, tracing, observability, guardrails, prompt management, versioning, and quality metrics.
Design data architectures covering
batch and streaming pipelines, vector search, APIs, events, and agent/tool contracts
.
Evaluate and recommend cloud, platform, and model options based on
cost, performance, scalability, and business requirements
.
Design solutions with
security and privacy by design
, including Zero Trust, IAM/OIDC, secrets management, KMS, data minimization, and compliance controls.
Define delivery plans and technical backlogs, coordinate multidisciplinary teams, and lead architecture and code reviews.
Engage with stakeholders to understand requirements, develop technology roadmaps, provide estimates, and communicate risks, benefits, and ROI.
Mentor and coach engineering teams and establish reusable
architecture patterns, templates, frameworks, and reference implementations
.
Stay current with emerging technologies across
Gen AI, Agentic AI, cloud, data, and enterprise architecture
.
Required Qualifications & Experience
Bachelor’s degree or equivalent qualification.
12+ years of experience
in enterprise application, data platform, or solution architecture.
At least
2 years of experience designing and delivering production-grade Gen AI solutions
.
Strong understanding and practical exposure to
Data Science and Machine Learning
.
Minimum
3 years of hands-on experience in each of AWS, Azure, and GCP
environments.
At least
1 year of hands-on experience with Generative AI and Agentic AI technologies
.
Strong experience with cloud-native technologies, including
containers/Kubernetes, serverless architectures, and Infrastructure as Code (Terraform/CloudFormation)
.
Hands-on experience with at least one
RAG/Agent framework or technology
, such as: LangChain / LangGraphDSPyOpenAI / Anthropic tool useDatabricks AgentsEquivalent agentic AI platforms
Practical experience with
LLMOps
, including: LLM evaluation and task-based metricsLLM-as-a-JudgeTracing and observability using tools such as MLflow/OpenTelemetryPrompt and model version managementAI CI/CD practices
Strong data and lakehouse experience with technologies such as
Delta Lake, Apache Iceberg, or Hudi
.
Experience with streaming technologies such as
Kafka, Kinesis, or Pub/Sub
.
Experience with vector databases/search technologies such as
Databricks Vector Search, pgvector, Pinecone, Milvus, Vespa
, or equivalent.
Strong API and integration architecture experience using
REST, gRPC, GraphQL, and event-driven architectures
.
Strong understanding of API contracts, versioning, and integration patterns.
Experience with security and governance frameworks, including
OAuth2/OIDC, JWT, mTLS, secrets management, data classification, lineage, access policies, and AI safety/guardrails
.
Good understanding of
web and mobile application architectures
.
Strong client-facing and stakeholder-management skills, with the ability to manage expectations and build trusted relationships.
Ability to manage multiple client opportunities and initiatives simultaneously.
Excellent communication and documentation skills, with the ability to explain complex technical concepts, costs, risks, benefits, and ROI to both technical and non-technical stakeholders.
Strong problem-solving mindset with a passion for innovation, continuous learning, and achieving challenging goals.
Preferred / Required Certifications
Candidates should hold relevant industry-recognized certifications in one or more of the following areas:
AWS Solution Architect / AI / Data Science certifications
Microsoft Azure Solution Architect / AI / Data certifications
Google Cloud Solution Architect / AI / Data certifications
TOGAF 9 or equivalent Enterprise Architecture certification
Other recognized industry-standard
Cloud, AI, Data, or Solution Architecture certifications
ELLIOTT MOSS CONSULTING PTE. LTD.
We at Elliott Moss Consultng inspire individuals and organisations to work more effectively and efficiently, and create greater choice in the work domain, for the benefit of all concerned. Our primary mission is to provide our clients with the best suitable employees who bring success to your organiza,on and allows us to grow together.
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