Overview
Solution Architect – AI/ML Platforms
Our client is looking for an experienced solution architect to lead the design and integration of secure, scalable and business-aligned AI solutions across enterprise systems and platforms.
Responsibilities
Architect Scalable AI Solutions:
Design end-to-end AI systems covering data ingestion, model deployment, API orchestration and integration across hybrid cloud and on-prem environments.
Drive AI Platform Development:
Lead architecture for AI platforms including Agentic AI, AI Workbench, Model Garden and AI Runtime tools.
Translate Business to Tech:
Convert business needs into technical architecture using appropriate tools, frameworks and infrastructures.
Integrate with Enterprise Systems:
Seamlessly connect AI solutions with internal APIs, business platforms and user-facing applications.
Ensure Security & Compliance:
Collaborate with cybersecurity and governance teams to design secure, policy-compliant AI architectures.
Evaluate and Recommend Tools:
Assess and select AI platforms (e.g. Azure ML, Databricks) aligned with enterprise objectives.
Operationalize AI Models:
Work with engineering and data teams to deploy AI models at scale, ensuring lifecycle support and system alignment.
Set Standards and Lead Innovation:
Define architectural standards and reusable patterns as well as lead experimentations and vendor evaluations.
Requirements
Bachelor’s or Master’s in Computer Science, Engineering, Data, AI/ML or related fields with at least 5 years of relevant experience in solution architecture focusing on AI platforms and integrations.
AI Workflow Expertise:
Proven ability in designing end-to-end AI workflows involving data pipelines, model orchestrations and APIs.
Cloud & AI Tools Proficiency:
Hands-on with services such as Azure ML, AWS SageMaker, AI Foundry and orchestration tools (e.g. MLflow and Kubeflow).
API & System Integration Skills:
Strong knowledge of REST, GraphQL, gRPC and secure enterprise integration practices.
Modern Architecture Knowledge:
Familiarity with microservices, containerization, VMs and MLOps tools for scalable deployment.
Emerging Tech Awareness:
Experience with advanced AI frameworks (e.g. LangChain, GraphRAG) and enthusiasm for staying ahead of tech trends.
Communication & Collaboration:
Excellent cross-functional teamwork, stakeholder management and technical presentation skills.
Location : Central Singapore
Kindly indicate your current/last salary details and your notice period
If the above speaks to you, we d love to hear from you.
Please send in your updated CV to
(Ezmir, Reg No: R ) if you feel there is a fit with your experience and interest.
You may forward this great opportunity to someone who would be a great fit for this role.
All information will be kept strictly confidential.
We regret to inform that only successful applicants will be contacted.
PeopleSearch Pte Ltd
EA License No: 16S8057
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