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 budgetBrainstorm.
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.
Document all Business processes, reports, dashboard, business rules which capture all business requirements in the BRD documents clearly
And other tasks as line manager's assignment.
1. Educational Qualifications
A bachelor's or master's degree in computer science, information systems, business administration or related field, or equivalent work experience, is required
2. Relevant Experience
Must-have:
5 years of experience in developing backend systems and applications on the Cloud (e.g., AWS, Azure, GCP, etc.).
Proficient in NodeJS and Python for backend system development.
Experienced in designing, building, and contributing to system architecture at medium to large scale.
Hands-on experience in implementing and developing systems following the Microservices model.
Strong skills in debugging, troubleshooting, profiling, logging, and monitoring systems in production environments.
Experience working with containerization technologies such as Docker and Kubernetes.
Solid understanding of API design principles (RESTful; experience with GraphQL is a plus).
Capable of optimizing performance, handling concurrency, and ensuring high availability.
In-depth knowledge of databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, etc.).
Strong understanding of Object-Oriented Programming (OOP) principles and/or Domain-Driven Design (DDD).
Optional:
-2 years of IT and business/industry work related to AI/GenAI (prefer).
Understanding and hands-on experience in building CI/CD pipelines (Jenkins, GitLab CI/CD, GitHub Actions, etc.).
Experience with event-driven architectures (Kafka, RabbitMQ, NATS, etc.).
Knowledge and practical experience with cloud services such as AWS, Azure, and GCP (AWS or Azure experience is a strong plus).
Experience in system security, including authentication, authorization, OAuth2, JWT, and Identity Server.
Solid understanding of scalability, distributed systems, caching, and queueing systems.