Senior AI Solutions Engineer - Hà Nội - TA105 - ID6778

1. Research and Trend Analysis:

• Stay up-to-date with the latest trends and advancements in IT Technology general/generative AI.
• Identify opportunities for applying generative AI techniques to improve business processes.

2. Business Requirements Analysis:

• Collaborate with business users, SA and stakeholders to understand their needs and pain points.
• Analyze existing business processes and identify areas for optimization using generative AI.
• Consult, support end-users and suggest new optimized business processes required to fulfill business requirements.

3. Solution Proposal and Ideation:

• Give Solution to optimize IT systems
• Design, develop the software to ensure the product delivered on time, within budget
• Brainstorm and propose innovative ideas for applying generative AI to address business challenges.
• Work closely with cross-functional teams to develop use cases and scenarios for generative AI applications

4.  Implementation:

• Collaborate with data scientists and engineers to design and implement IT solutions/generative AI solutions.
• Translate business requirements into technical specifications for IT solutions/generative AI models.
• To make sure all incident which cannot be solved on previous lines of support are solved Level 3 support).
• Make the deploy package to implement into other environment (test, pilot, production) and check list to deployment.
• Updating, repairing, modifying, and developing existing development

5.Testing and Evaluation:

• Develop test plans and conduct thorough testing of generative AI models, and business function.
• Evaluate the performance and accuracy of generative AI responses to user queries.

6. Documentation and Communication:

• Create detailed technical documentation or  specification documentation for solution, including user stories, process flows, and functional specifications.
• Writing the document for the operation of the program by operators
• Communicate effectively with both technical and non-technical stakeholders.

Yêu cầu ứng viên

• A bachelor's or master's degree in computer science, information systems, business administration or related field, or equivalent work experience, is required
• Total 5 years of experience in IT field.
• 5-7 year experience in developing back end system and application on Cloud e.g. AWS, Azure, GCP etc.,
• 2 years of IT and business/industry work related to AI/GenAI(prefer)
• An understanding of bank business domain
• Being able to understand and catch-up quickly with various business processes/rules or new products in banking domain
• Being able to understand and catch-up quickly with various GenAI apply to business processes/rules or new products in banking domain(preferable)

Quyền lợi được hưởng

Thu nhập hấp dẫn, lương thưởng cạnh tranh theo năng lực
Thưởng các Ngày lễ, Tết (theo chính sách ngân hàng từng thời kỳ)
Được vay ưu đãi theo chính sách ngân hàng từng thời kỳ
Chế độ ngày phép hấp dẫn theo cấp bậc công việc, được hưởng chế độ du lịch hè
Bảo hiểm bắt buộc theo luật lao động + Bảo hiểm VPBank care cho CBNV tùy theo cấp bậc và thời gian công tác
Được tham gia các khóa đào tạo tùy thuộc vào Khung đào tạo cho từng vị trí
Thời gian làm việc: từ thứ 2 – thứ 6 & sáng thứ 7
Môi trường làm việc năng động, thân thiện, có nhiều cơ hội học đào tạo, học hỏi và phát triển; được tham gia nhiều hoạt động văn hóa thú vị (cuộc thi về thể thao, tài năng, hoạt động teambuiding...)