Senior AI Solution Engineer (Customer Success Focus)

JOB DESCRIPTION

We're seeking an AI Solution Engineer to drive customer success and foster long-lasting relationships by delivering impactful AI solutions. Your role centers on guiding customers through their AI journey, ensuring Company's Product offerings align with their needs and goals. You'll balance innovation with practical impact on design, implementation, and deployment to maximize business value. With a focus on customer satisfaction, strategic project management, and a deep understanding of AI, you'll play a key role in our growth. If you're passionate about making a real difference, we want to hear from you.
About the Role:
Drive customer success by strategically managing relationships, serving as a key advocate, and aligning Company Product capabilities with their goals while proactively mitigating project risks.
Stay at the forefront of AI innovation by engaging in the design of AI systems for industrial applications, and keeping abreast of the latest trends in AI, machine learning, and data analytics.
Facilitate customer collaboration to clearly define problem statements, architect impactful solutions, translate needs into actionable tasks, and oversee project lifecycles, including roadmap planning, execution, and quality assurance.
Lead and work in tandem with cross-functional technical teams to develop and deliver solutions efficiently within set deadlines.
Equip customers with tailored technical solutions and training, enhancing the impact and value of the solutions provided.

JOB REQUIREMENT

Must-Have:
Demonstrated experience in customer success or account management within a tech setting, ideally in AI or machine learning contexts.
Outstanding skill in cultivating and sustaining customer relationships.
Proficient in project management and effective communication.
Capable of comprehending complex customer requirements and converting them into detailed, technical strategies.
Comfortable with data analysis, using insights to inform strategic decision-making.
Deep knowledge of AI technologies, with experience in AI system development, machine learning and deep learning algorithms, and deployment of AI solutions.
Great-to-Have:
Background in start-ups or dynamic tech environments.
Skilled in Python, AI/ML frameworks, and cloud services.
Proven track record in enhancing customer success and relationship expansion.
Knowledge of industrial AI applications and their specific challenges.
Education:
A Master's degree or higher in Computer Science, Computer Engineering, Physics, or another related discipline is preferred, with a specialization in AI, Machine Learning, or Data Science highly valued. However, we recognize that talent and drive can come from diverse backgrounds. Therefore, candidates with a Bachelor's degree coupled with significant, relevant experience in AI, machine learning environments, or equivalent professional achievements are also strongly encouraged to apply. Our goal is to embrace inclusivity and diversity, understanding that expertise and innovation can transcend traditional educational paths.
If you are passionate about customer success, pushing the boundaries of AI technology, possess strong technical skills, and thrive in a collaborative environment, we encourage you to apply. Join us in shaping the future of AI solutions and making a significant impact in the industry.

WHAT'S ON OFFER

Attractive compensation and benefits commensurate with experience.
Generous daily lunch allowance of $10 per day, provided to each team member.
Overseas travel opportunities for training and working related, providing exposure to international projects and collaborations.
An employee-centric culture that values the skills and abilities of our team members, providing them with the necessary tools and resources to excel in their roles and advance in their careers.
A collaborative work environment that fosters teamwork, knowledge sharing, and innovation.
Flexible working hours
Fun team activities & outing

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product, AI Application Platform

Technical Skills:

AI, Python, Machine Learning

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01493

Status:

Close

Related Job:

Senior/ Lead Data Engineer (Data Platform / MLOps)

Ho Chi Minh, Ha Noi - Viet Nam

Information Technology & Services

You will be responsible for managing, designing, and enhancing data systems and workflows that drive key business decisions. The role is focused 75% on data engineering, involving the construction and optimization of data pipelines and architectures, and 25% on supporting data science initiatives through collaboration with data science teams for machine learning workflows and advanced analytics. You will leverage technologies like Python, Airflow, Kubernetes, and AWS to deliver high-quality data solutions. Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation

View details

Senior Software Engineer (Backend + Network)

Ho Chi Minh - Viet Nam

Product

  • Backend
  • Network

Continuously monitor and analyze new VPN providers, proxy services, and anonymization tools. Conduct investigations on IP allocation patterns, hosting provider behaviors, and network infrastructure changes. Develop and maintain comprehensive databases of known VPN/proxy IP ranges and behavioral signatures. Research emerging threats such as residential proxies, mobile proxies, and distributed proxy networks. Monitor darkweb marketplaces and security forums for emerging proxy/VPN trends. Perform deep packet analysis and network traffic pattern recognition. Develop and maintain the system using PHP, Python, and/or Go. Optimize VPN/Proxy detection algorithms. Design scalable infrastructure to handle millions of IP lookups per day. Implement monitoring and alerting systems for detection accuracy and system performance. Analyze production incidents related to false positives/negatives in threat detection. Collaborate with DevOps team on deployment of detection rule updates and model improvements. Investigate customer-reported bypass attempts and develop rapid response solutions. Provide technical expertise during customer security consultations. Support sales engineering team with technical demonstrations and proof-of-concepts. Document threat analysis findings and detection methodologies for internal and customer use. Maintain relationships with cybersecurity vendors, threat intelligence providers, and ISPs. Monitor industry threat reports, security advisories, and academic research. Participate in cybersecurity conferences and forums to stay current with the threat landscape. Contribute to open-source security tools and research when appropriate.

Negotiation

View details

Data Engineer - RefData

Ho Chi Minh, Ha Noi - Viet Nam

product, Investment Management

  • Data Engineering

Developing an automated data processing system and overseeing its maintenance Consolidating and integrating various data sources and databases into a unified system Designing interfaces and micro services using Python Enhancing the organization's data through NLP and AI models Preparing and cleaning semi-structured or unstructured data Creating effective algorithms for data processing Testing and incorporating external APIs Assisting the Business Analysts team

Negotiation

View details