- North Bridge Road Downtown Core Central Region (Singapore) Singapore
Kerja Sepenuh Masa Solution Architect, Gaji tinggi SGD 15,000 di ELLIOTT MOSS CONSULTING PTE. LTD. Central Region (Singapore) - Maukerja
Solution Architect
ELLIOTT MOSS CONSULTING PTE. LTD.
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Job Description
We are seeking an experienced
Technical Lead / Solution Architect
to design anddeliver enterprise-grade, multi-cloud and AI-enabled solutions. The role will provide technical leadership across application, data, integration, security, cloud, and observability, with a strong focus on Generative AI, Agentic AI,RAG, and LLMOps.
The successful candidate will lead client engagements, architecture design,proof of concepts, and technical delivery across
AWS, Azure, and GCPenvironments.
Key Responsibilities
Translate business requirements into scalable
GenAI and Agentic AI
solution architectures, including RAG and AI agent-based solutions.
Own end-to-end architecture across applications, data, integrations, security, infrastructure, and observability.
Provide technical leadership for client opportunities, solution discussions, and implementation engagements.
Lead the design and development of
POCs and MVPs,
guiding engineeringteams through build, deployment, and operationalization.
Establish and implement
LLMOps practices,
including model evaluation, tracing, observability, guardrails, prompt management, versioning, and quality metrics.
Design batch and streaming data architectures, vector search capabilities,APIs, events, and agent/tool integration contracts.
Evaluate and recommend appropriate cloud platforms, AI models, managedservices, and open-source technologies based on cost, performance, scalability,and security.
Design secure solutions using Zero Trust, IAM, OAuth2/OIDC, secrets management,KMS, data classification, and access controls.
Define APIs and integration architectures using REST, gRPC, GraphQL, andevent-driven patterns.
Lead architecture reviews, design reviews, code reviews, and technicalgovernance activities.
Plan technical roadmaps, delivery backlogs, estimates, dependencies, and implementation strategies across multidisciplinary teams.
Work closely with clients and stakeholders to communicate technical decisions, risks, benefits, cost considerations, and ROI.
Coach and mentor engineering teams and establish reusable architecture patterns, templates, and reference implementations.
Manage multiple client opportunities and technical initiatives while maintaining strong stakeholder relationships.
Technical Requirements
Strong hands-on experience across
AWS, Azure, and GCP.
Minimum 3 years of hands-on experience in each of
AWS, Azure, and GCPenvironments.
At least 1 year of hands-on experience with
Generative AI and Agentic AItechnologies.
Experience designing and delivering production-grade RAG and AI agentsolutions.
Hands-on experience with at least one AI/agent framework, such as:
LangChain / LangGraph
DSPy
OpenAI or Anthropic tool use
Databricks Agents
Equivalent AI agent frameworks
Strong experience with LLMOps, including:
AI model and application evaluation
LLM judges and task-based metrics
MLflow / OpenTelemetry tracing and observability
Prompt and version management
CI/CD for AI applications
AI safety and guardrails
Strong data platform experience with
Delta Lake, Apache Iceberg, or ApacheHudi
.
Experience with streaming technologies such as
Kafka, Kinesis, or GooglePub/Sub.
Hands-on experience with vector databases/search technologies such as
Databricks
Vector Search, pgvector, Pinecone, Milvus, or Vespa.
Experience with Kubernetes, containers, serverless architectures, andInfrastructure as Code using Terraform and/or CloudFormation.
Strong understanding of microservices, distributed systems, API design, andevent-driven architecture.
Good understanding of web and mobile application architectures.
Qualifications & Experience
Bachelor's degree in Computer Science, Information Technology, Engineering,Data Science, or a related discipline.
12+ years
of experience in
enterprise application, cloud, dataplatform, or solution architecture
.
Minimum 2 years of experience designing and delivering production-grade
GenerativeAI solutions.
Strong exposure to
Data Science and Machine Learning.
Proven experience leading architecture and technical delivery acrosscomplex enterprise environments.
Strong client-facing, stakeholder management, communication, and influencingskills.
Ability to manage multiple technical opportunities and competing priorities.
Strong analytical and problem-solving skills with the ability to translatecomplex technical concepts into clear business outcomes.
Required Certifications
Candidates should hold relevant certifications across the following areas:
AWS, Microsoft Azure, or Google Cloud AI Certifications
AWS, Microsoft Azure, or Google Cloud Data Science / Machine LearningCertifications
AWS, Microsoft Azure, or Google Cloud Solution Architect Certifications
TOGAF 9 Certification
Other equivalent industry-recognised architecture certifications are anadvantage.
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.
We are seeking an experienced
Technical Lead / Solution Architect
to design anddeliver enterprise-grade, multi-cloud and AI-enabled solutions. The role will provide technical leadership across application, data, integration, security, cloud, and observability, with a strong focus on Generative AI, Agentic AI,RAG, and LLMOps.
The successful candidate will lead client engagements, architecture design,proof of concepts, and technical delivery across
AWS, Azure, and GCPenvironments.
Key Responsibilities
Translate business requirements into scalable
GenAI and Agentic AI
solution architectures, including RAG and AI agent-based solutions.
Own end-to-end architecture across applications, data, integrations, security, infrastructure, and observability.
Provide technical leadership for client opportunities, solution discussions, and implementation engagements.
Lead the design and development of
POCs and MVPs,
guiding engineeringteams through build, deployment, and operationalization.
Establish and implement
LLMOps practices,
including model evaluation, tracing, observability, guardrails, prompt management, versioning, and quality metrics.
Design batch and streaming data architectures, vector search capabilities,APIs, events, and agent/tool integration contracts.
Evaluate and recommend appropriate cloud platforms, AI models, managedservices, and open-source technologies based on cost, performance, scalability,and security.
Design secure solutions using Zero Trust, IAM, OAuth2/OIDC, secrets management,KMS, data classification, and access controls.
Define APIs and integration architectures using REST, gRPC, GraphQL, andevent-driven patterns.
Lead architecture reviews, design reviews, code reviews, and technicalgovernance activities.
Plan technical roadmaps, delivery backlogs, estimates, dependencies, and implementation strategies across multidisciplinary teams.
Work closely with clients and stakeholders to communicate technical decisions, risks, benefits, cost considerations, and ROI.
Coach and mentor engineering teams and establish reusable architecture patterns, templates, and reference implementations.
Manage multiple client opportunities and technical initiatives while maintaining strong stakeholder relationships.
Technical Requirements
Strong hands-on experience across
AWS, Azure, and GCP.
Minimum 3 years of hands-on experience in each of
AWS, Azure, and GCPenvironments.
At least 1 year of hands-on experience with
Generative AI and Agentic AItechnologies.
Experience designing and delivering production-grade RAG and AI agentsolutions.
Hands-on experience with at least one AI/agent framework, such as:
LangChain / LangGraph
DSPy
OpenAI or Anthropic tool use
Databricks Agents
Equivalent AI agent frameworks
Strong experience with LLMOps, including:
AI model and application evaluation
LLM judges and task-based metrics
MLflow / OpenTelemetry tracing and observability
Prompt and version management
CI/CD for AI applications
AI safety and guardrails
Strong data platform experience with
Delta Lake, Apache Iceberg, or ApacheHudi
.
Experience with streaming technologies such as
Kafka, Kinesis, or GooglePub/Sub.
Hands-on experience with vector databases/search technologies such as
Databricks
Vector Search, pgvector, Pinecone, Milvus, or Vespa.
Experience with Kubernetes, containers, serverless architectures, andInfrastructure as Code using Terraform and/or CloudFormation.
Strong understanding of microservices, distributed systems, API design, andevent-driven architecture.
Good understanding of web and mobile application architectures.
Qualifications & Experience
Bachelor's degree in Computer Science, Information Technology, Engineering,Data Science, or a related discipline.
12+ years
of experience in
enterprise application, cloud, dataplatform, or solution architecture
.
Minimum 2 years of experience designing and delivering production-grade
GenerativeAI solutions.
Strong exposure to
Data Science and Machine Learning.
Proven experience leading architecture and technical delivery acrosscomplex enterprise environments.
Strong client-facing, stakeholder management, communication, and influencingskills.
Ability to manage multiple technical opportunities and competing priorities.
Strong analytical and problem-solving skills with the ability to translatecomplex technical concepts into clear business outcomes.
Required Certifications
Candidates should hold relevant certifications across the following areas:
AWS, Microsoft Azure, or Google Cloud AI Certifications
AWS, Microsoft Azure, or Google Cloud Data Science / Machine LearningCertifications
AWS, Microsoft Azure, or Google Cloud Solution Architect Certifications
TOGAF 9 Certification
Other equivalent industry-recognised architecture certifications are anadvantage.
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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