Solutions Architect

Elliott Moss Consulting; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Elliott Moss Consulting is seeking a Solution Architect to help clients manage fast-moving business environments through innovative technology. You will design Gen AI-enabled architectures across web, mobile, cloud and data platforms, balancing security and cost with strong leadership.

Responsibilities include leading client engagements, driving POCs to MVPs, and codifying reusable patterns while ensuring governance and collaboration across teams. Strong cloud and AI expertise required.

Qualifications

• Bachelor’s degree or equivalent (required).
• 12+ years of enterprise application or data platform architecture experience, including 2 years designing Gen AI systems.
• Strong exposure to data science and machine learning.

Responsibilities

• Translate goals into Gen AI / Agentic AI architectures (RAG, agents, etc).
• Own end-to-end solution design across application, data, integration, security, and observability.
• Lead client-facing opportunities, provide technical leadership.
• Lead hands-on new solutions and POCs from build to MVP.
• Establish LLMOps with SLOs, tracing, guardrails, and version management.

Skills

Gen AI

Agentic AI

Cloud

Data architecture

LLMOps

LangChain

LangGraph

Kubernetes

Terraform

IAM/OIDC

Security by design

Observability

Education

Bachelor’s degree or equivalent

Tools

AWS

Azure

GCP

Terraform

CloudFormation

Kubernetes

MLflow

OpenTelemetry

LangChain

Databricks

Job description

As a Solution Architect in the digital team, you will help clients to manage the demands of fast-moving business environments. We expect you to have a strong interest in technology and ability to drive innovation with creative solutions. You should have a broad expertise and proven experience in various areas such as web, mobile, Cloud, emerging technologies and services.

Key Responsibilities::

• Translate business goals into Gen AI / Agentic AI enabled architectures (RAG, agents, etc).
• Own end-to-end solution design across application, data, integration, security, and observability.
• Participate in new client facing opportunities, provide technical leadership and lead the team in implementations.
• Lead hands‑on new solutions and POCs that de‑risk decisions and graduate to MVPs; guide engineering through build and run.
• Establish LLMOps: evaluation, tracing/observability, guardrails/safety, and prompt/version management with clear SLOs and quality metrics.
• Architect data flows (batch/stream) and vector search; define APIs/events and tool/agent contracts.
• Make platform/model choices (managed vs OSS, serving strategies) with cost/performance trade‑offs.
• Embed security & privacy by design: Zero-Trust, IAM/OIDC, secrets/KMS, data minimization, compliance controls.
• Plan delivery and backlogs; coordinate multi-disciplinary squads; run design/code reviews and technical governance.
• Engage stakeholders with discovery, roadmaps, estimates; communicate risks, benefits, and ROI in plain language.
• Coach teams; codify reusable patterns, templates, and reference implementations.

Qualifications::

Basic Qualifications

• Minimum of bachelor’s degree or equivalent.
• 12+ years of enterprise application or data platform architecture experience, including 2 years of designing production grade Gen AI systems.
• Strong exposure to data science and machine learning.
• Proven architecture leadership across cloud (AWS/Azure/GCP), containers/Kubernetes or serverless, and IaC (Terraform/CloudFormation).
• Mandatory hands‑on multiple cloud experience of at 3 years in each of the AWS, GCP & Azure environments, with at least one year hands‑on experience with Gen AI, Agentic AI technologies.
• Hands‑on with at least one agent/RAG stack: LangChain/LangGraph, DSPy, OpenAI/Anthropic tool use, Databricks Agents or equivalent.
• Practical LLMOps: evaluation (LLM judges, task metrics), tracing/observability (MLflow/OpenTelemetry), prompt/version registries, CI/CD for AI.
• Security & governance: OAuth2/OIDC, JWT/mTLS, secrets management, data classification/lineage, access policies, content safety/guardrails.
• Strong communicator: can frame cost/benefit, risk, and ROI; writes clear design docs; influences across org boundaries.
• Good understanding of mobile and web applications.
• Able to manage multiple opportunities at the same time.
• Experiences in managing client relationship and expectation.
• Fast learner, achiever, sets high personal goals.

Required Certifications::

• AWS/Azure/Google Data Science Certifications
• The Open Group TOGAF 9 Certification
• Any other equivalent industry standard architect certification