Solution Architect – AI/ML Platforms
2 weeks ago
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 #J-18808-Ljbffr
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Solution Architect
2 weeks ago
Singapore PEOPLESEARCH PTE. LTD. Full timeOverview 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,...
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Singapore PEOPLESEARCH PTE. LTD. Full timeSolution 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...
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Islandwide, SG
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