JOB PURPOSE
As a core technical contributor, you will be instrumental in the design, development, operation, and optimization of our Agentic AI systems, from Proof-of-Concept (PoC) to full-scale Production, with the primary goals:
- Establishing the AI Agent pipeline: From data ingestion and model training to CI/CD and monitoring, ensuring operational efficiency (response time, accuracy, availability).
- Continuous algorithm and architecture optimization: Minimizing manual intervention while enhancing solution stability and scalability.
Providing technical support and knowledge transfer: Enabling the operations team to effectively apply these solutions in real business processes.
KEY RESPONSIBILITIES
Architecture Design
- AI Roadmap Development: Build a strategic roadmap for AI and Agentic AI development aligned with corporate business goals.
- System Architecture:Lead the design of high-level architectures for Agentic AI systems at a platform level, ensuring scalability, security, and operational reliability.
- Select appropriate frameworks and tools (e.g., LangChain, ReAct, multi-agent orchestration).
Solution Lifecycle Management
- Manage the full deployment lifecycle of AI applications, from initial concept to production.
- Build and operate automated MLOps/ LLMOps pipelines: data ingestion feature store training containerization deployment monitoring re-training.
- Guide DevOps/Full-stack teams on integrating and operating models in a production environment to ensure stable agent performance.
AI Platform Governance & Operations
- Performance Monitoring: Monitor the operational performance of AI systems and drive continuous improvements to enhance deployment efficiency.
- Platform Evolution: Direct the development of the AI Platform and shared components to support the seamless scaling of AI across the organization.
- Risk Management: Establish and oversee AI risk management frameworks and governance mechanisms.
Team Capability Development
- Evaluate competencies, define upskilling roadmaps, and establish succession plans for the AI team.
- Foster a culture of experimentation, innovation, and data-driven decision-making.
JOB REQUIREMENTS
- Bachelor's degree or higher in Computer Science, Information Technology, Mathematics, or a related field.
- Knowledge of LLM principles
- Minimum of 8 years of experience in AI/Machine Learning (including hands-on experience with LLMs /AI Agentic).
- Strong foundational and practical experience with Machine Learning and Deep Learning.
- Proven experience in designing and deploying AI/LLM solutions from PoC to Production and scaling them in real-world environments.
- Experience building AI Platforms/MLOps frameworks or deploying multi-agent systems
- Proficient in deploying and operating models on at least one major cloud provider (AWS, GCP, or Azure).
- Experience in optimizing AI operational costs (GPU usage, inference costs, token consumption, etc.) is highly preferred.
- Skills in optimizing prompts and evaluating output quality.
- Strong analytical and problem-solving skills.
- Ability to work independently.
- Experience working in an Agile/Scrum environment.
- Quick to learn and adapt.
- Willingness to research and experiment with new solutions.
Bng vic gi h s ng tuyn n PNJ, ti xc nhn c, hiu r v ng vi Thng bo Chnh sch thu thp v x l d liu c nhn ca PNJ.
Link Thng bo: bit.ly/nghidinh13
