← CÔNG TY CỔ PHẦN DỊCH VỤ KỸ THUẬT LND
AI Enablement/ Business Applications Engineer
CÔNG TY CỔ PHẦN DỊCH VỤ KỸ THUẬT LND · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Thành phố Hồ Chí Minh, Hồ Chí Minh
Tổng quan
- Business Requirement Analysis & AI Use Case Definition:
- Work closely with stakeholders (Engineering, Estimating, Operations, Management) to identify high-impact use cases suitable for AI adoption.
- Analyze current workflows and pain points to define clear functional and technical requirements.
- Propose AI solutions aligned with business value, feasibility, and data availability.
- Prioritize initiatives based on ROI, scalability, and operational impact.
- AI Solution Design & Development:
- Design, develop, and deploy custom AI agents using Microsoft Copilot Studio, Microsoft 365 Copilot, and Azure AI services to support real business workflows.
- Build and maintain AI‑powered tools integrated with Microsoft 365 applications, including Teams, Outlook, SharePoint, Excel, Word, and the Power Platform, to improve productivity and information flow.
- Implement and optimize prompt engineering, conversation design, and orchestration logic to ensure accurate, reliable, and business‑ready AI outputs.
- Design scalable conversation flows and agent behaviors aligned with business rules, data context, and user experience.
- Validate AI agent performance with end users and continuously refine prompts, logic, and integrations based on feedback and observed outcomes.
- User Enablement & Collaboration:
- Act as a trusted advisor to business teams on how AI can support their daily work.
- Train users on adopted AI tools, including proper usage and interpretation of outputs.
- Gather user feedback and continuously refine tools to better meet operational needs.
- Collaborate with engineering, IT, and management teams to ensure alignment with company strategy.
- Quality, Governance & Tooling:
- Ensure AI solutions follow company standards for quality, security, and documentation.
- Maintain clear documentation for AI tools, workflows, prompts, and data dependencies.
- upport governance practices to ensure responsible and ethical use of AI within the organization.
- Continuous Improvement & Innovation:
- Proactively research emerging AI technologies and identify practical applications relevant to the business.
- Drive continuous improvement initiatives by proposing enhancements to existing AI tools and workflows.
- Share lessons learned, best practices, and success stories across the organization.
- Support management in shaping the long‑term AI roadmap for the company.v
- Bachelor’s degree in Engineering, Computer Science, Data Science, Information Systems, or related fields.
- Fluent English (minimum TOEIC score 700 or equivalent).
- 3+ years of experience applying AI, automation, or data‑driven solutions to real‑world business problems.
- Strong understanding of applied AI concepts, including:
- Large Language Models (LLMs)
- Prompt engineering
- Information extraction and document processing
- Automation and workflow integration
- Ability to translate business needs into practical, usable technical solutions.
- Strong analytical and problem‑solving skills.
- Clear communication skills to explain technical concepts to non‑technical stakeholders.
- Familiarity with tools such as:
- Python / scripting for automation
- AI APIs or platforms (e.g., LLM frameworks, OCR, vision models)
- Low‑code / no‑code automation platforms
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