Job Description:
Latest job information from Total eBiz Solutions Pte Ltd for the position of Lead AI Engineer. If the Lead AI Engineer vacancy in Singapore matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Total eBiz Solutions Pte Ltd for the position of Lead AI Engineer below matches your qualifications.
Key Responsibilities1. Customer Engagement & Requirements Discovery- Lead customer workshops to understand goals, processes, challenges, and expected outcomes.
- Translate business requirements into structured AI use cases with clear feasibility, ROI, and prioritization.
- Conduct current‑state assessments covering data readiness, integration needs, compliance, and security.
2. AI Solution Architecture & Design- Design end‑to‑end AI solutions using:
- Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, Azure Cognitive Services, Azure Data Platform (ADLS, Fabric, Databricks, Synapse)
- Vector search, embeddings, and retrieval‑augmented generation (RAG)
- Develop architecture diagrams, data flows, integration patterns, and system component definitions.
- Define solution options, trade‑offs, and best‑fit recommendations based on business value and risk.
- Ensure solutions adhere to enterprise standards for scalability, performance, privacy, and governance.
3. Consulting & Thought Leadership- Act as a trusted advisor to customers on AI adoption, roadmap planning, and responsible AI practices.
- Provide clear guidance on MLOps/LLMOps, data governance, security, and deployment strategies.
- Share knowledge on Azure AI capabilities, innovations, and Microsoft's product roadmap.
4. Proposal Development & Presales Support- Prepare high‑quality proposals, solution decks, and value proposition statements.
- Respond to RFP/RFI documents with accurate, clear, and competitive solution descriptions.
- Conduct customer presentations, demos, POCs, and technical deep dives.
- Partner with sales teams to articulate solution differentiation and business value.
5. Delivery Handover & Execution Support- Provide technical oversight during project initiation and design phases.
- Support delivery teams with clarifications, design governance, and risk mitigation.
- Participate in review sessions to ensure solution integrity throughout implementation.
6. Reusable Assets & Knowledge- Create reusable frameworks, solution accelerators, demo environments, and reference architectures.
- Contribute to internal playbooks, best practices, and industry‑specific AI templates.
- Stay updated with Azure AI advancements, enterprise AI trends, and generative AI patterns.
Required Skills & ExperienceTechnical Skills- 7+ years in AI/ML, cloud architecture, or solution design with at least 3 years with Azure AI.
- Strong hands‑on expertise with:
- Azure OpenAI (GPT models, embeddings, chat orchestration)
- Azure Machine Learning (pipelines, model registry, deployment)
- Cognitive Services (vision, language, speech)
- Azure Data services (Fabric, ADLS, Databricks)
- API integration, microservices, and serverless architectures
- Experience designing RAG architectures, conversational agents, document intelligence, predictive models, or enterprise automation solutions.
- Understanding of enterprise security, identity, compliance, and responsible AI guidelines.
Consulting & Presales Skills- Ability to translate technical concepts into business‑friendly narratives.
- Strong presentation, negotiation, and client‑facing communication skills.
- Experience in writing proposals, solution briefs, and architecture documents.
- Ability to guide CXO‑level stakeholders and handle technical deep‑dive discussions.
Soft Skills- Strategic thinker with strong problem‑solving and analytical abilities.
- Confident communicator with excellent articulation skills.
- Team collaborator, proactive, detail‑oriented, and customer‑obsessed.
Preferred Qualifications- Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert, Azure Data Engineer Associate
- Experience in enterprise data modernization, analytics, or cloud transformation.
- Exposure to domain‑specific AI use cases (banking, insurance, retail, government, manufacturing).
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Job Info:
- Company: Total eBiz Solutions Pte Ltd
- Position: Lead AI Engineer
- Work Location: Singapore
- Country: SG
How to Submit an Application:
After reading and understanding the criteria and minimum qualification requirements explained in the job information Lead AI Engineer at the office Singapore above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.
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