AI Manager

**About VinSmart Future**

*VinSmartFuture (formerly VinIT) is a technology subsidiary of*

***Vingroup***

*, leading the development of a comprehensive*

***SuperApp and digital ecosystem***

*that serves tens of millions of users across key sectors: payments, healthcare, education, mobility, commerce, and entertainment.*

*Our mission is to build the*

***“Digital Core”***

*— the foundational technology platform that powers Vingroup’s unified digital operations, enabling smart management, data-driven decision-making, and scalable infrastructure on a national level.*

**AI Manager**

• ***Work Location:***
• ***Ho Chi Minh City/HN***

**Job overview**

As the AI Manager, you will be responsible for leading the development and evolution of the organization's AIoT platform, data infrastructure, and AI capabilities. You will drive technical strategy, platform architecture, engineering excellence, and team development while ensuring the successful delivery of scalable, reliable, and production-grade AI solutions.

Working closely with customers, product teams, business stakeholders, and cross-functional engineering teams, you will translate business objectives into platform capabilities and technical solutions that enable innovation and deliver measurable business value across multiple domains.

**Key Responsibilities:**

• Lead, mentor, and develop a team of AI – DS Engineers, fostering a culture of continuous learning and technical excellence while ensuring optimal resource allocation and team productivity.
• Define and execute the AIoT platform strategy and roadmap aligned with business objectives, overseeing platform architecture, data infrastructure, and AI capabilities to support diverse business applications.
• Design and implement scalable AIoT platform architecture spanning data pipelines, AI infrastructure, IoT connectivity, edge computing, and cloud services that adapt to multiple business domains.
• Establish and enforce engineering best practices including MLOps, DataOps, DevOps, and platform reliability standards for developing, deploying, and maintaining production-grade AI systems.
• Architect end-to-end data solutions encompassing collection, storage, processing, governance, and quality assurance to ensure a reliable foundation for AI applications.
• Engage with customers, product teams, and stakeholders to translate business requirements into platform capabilities and technical solutions that deliver measurable value.
• Coordinate cross-functional collaboration with data engineering, infrastructure, security, and business teams to ensure seamless integration and successful delivery of platform initiatives.
• Build and maintain platform documentation, technical standards, best practices, and reusable components to ensure consistency and accelerate development across solutions.

**Qualifications:**

1. **Required**

• Bachelor's, Master's or Ph. D. in Computer Science, Statistics, Mathematics, Data Science, or related field
• 5-7+ years of hands-on experience in AI platform development, data engineering, or software engineering with at least 5+ years building and operating production systems
• Minimum 3 years technical leading complex platform/infrastructure projects with proven track record of designing and implementing scalable platform architectures supporting AI applications
• Deep understanding of platform architecture patterns (microservices, event-driven architecture, distributed systems) and scalable data architectures (data lakes, data warehouses, lakehouse architecture)
• Strong knowledge of cloud platforms (AWS, Azure, GCP)
• Proficiency in containerization and orchestration (Docker, Kubernetes) and knowledge of streaming/batch data processing frameworks (Kafka, Spark, Flink, Airflow, etc...)
• Proficiency in Python with expertise in data science and ML frameworks (scikit-learn, pandas, numpy, TensorFlow/PyTorch, etc...) and deep knowledge of machine learning, deep learning including deployment and optimization
• Strong experience with MLOps platforms and practices (MLflow, Kubeflow, Vertex AI, SageMaker) including model versioning, experiment tracking, feature stores, and AI serving infrastructure
• Proficiency in SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, Elasticsearch) with understanding of data governance, data quality, and data security
• Strong software engineering fundamentals including design patterns, code quality, testing, and version control (Git)
• Expertise in CI/CD pipelines, infrastructure as code (Terraform, CloudFormation, Ansible), and automation practices
• Knowledge of monitoring, logging, and observability tools (Prometheus, Grafana, ELK stack, Datadog) and experience with API design, gateway management
• Understanding of security best practices, authentication/authorization, compliance requirements, and proficiency in performance optimization, cost optimization, and capacity planning
• Proven ability to lead, inspire, and develop high-performing engineering teams with excellent project and program management skills
• Strategic thinking with capability to align technical architecture with business strategy and strong decision-making skills for evaluating technology tradeoffs

1. **Preferred Skills**

• Background in AIoT, Smart City, or Digital Twin solutions.
• Familiarity with Generative AI, LLMs, RAG, and AI Agent technologies.
• Knowledge of Computer Vision, Video Analytics, and Edge AI applications.
• Exposure to GIS, geospatial analytics, and connected device ecosystems.
• Track record of driving large-scale platform initiatives across multiple teams.
• Understanding of enterprise environments, public sector projects, or digital transformation programs.
• Industry certifications in Cloud, Kubernetes, AI/ML, or Solution Architecture.