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Senior to Manager | AI Engineer | HCMC Office

Location:  Ho Chi Minh City
Other locations:  Primary Location Only
Salary: Competitive
Date:  19 Jun 2026

Job description

Requisition ID:  1719207

About us

At EY, our purpose is to build a better working world by helping organizations solve their most complex challenges. We bring together exceptional people, cutting-edge technology, and deep industry experience to deliver long-term value.

 

We are a technology‑driven professional services organization offering a wide range of consulting solutions across multiple domains. Our expertise spans Data & AI, Technology Transformation, Business Consulting, and industry‑specific advisory services. We help enterprises unlock value, accelerate innovation, and achieve sustainable growth through modern, scalable, and business‑centric solutions.

 

About the Role

 

We are seeking an experienced AI Engineer to design and deploy AI-powered solutions that enhance Quality Engineering (QE), Cybersecurity, and Compliance Testing capabilities.

 

The role partners with QE, Cybersecurity, Risk, and Technology teams to build intelligent automation, AI-driven testing frameworks, compliance validation solutions, and continuous assurance platforms using Generative AI, Machine Learning, Agentic AI, and advanced analytics.

 

Key Responsibilities

 

AI Solutions

  • Develop AI-powered solutions for Quality Engineering and Cybersecurity.
  • Build intelligent automation for testing and compliance activities.
  • Create AI agents for test generation, defect analysis, and root-cause identification.
  • Implement RAG, LLM, and Agentic AI solutions.
  • Analyze logs, vulnerabilities, security events, and testing results using AI.

 

Compliance & Assurance

  • Develop AI-enabled compliance testing platforms.
  • Automate controls testing and evidence collection for frameworks such as ISO 27001, NIST, SOC 2, PCI DSS, CIS Controls, and GDPR.
  • Enable continuous monitoring and compliance assessment.
  • Build recommendation engines for control gap identification and remediation.

 

Quality Engineering & Cybersecurity

  • Develop intelligent test automation and self-healing frameworks.
  • Support test generation, coverage analysis, defect prediction, and risk-based testing.
  • Integrate AI into CI/CD and DevSecOps pipelines.
  • Enhance vulnerability assessment, security testing, threat detection, and monitoring through AI.

 

Platform & Leadership

  • Design scalable cloud-based AI architectures.
  • Develop APIs and services supporting AI solutions.
  • Ensure security, privacy, governance, and Responsible AI compliance.
  • Collaborate with stakeholders, mentor team members, and support proposals and client engagements.

 

Qualifications & Skills

 

Education & Certifications

  • Bachelor's or Master's degree in Computer Science, AI, Software Engineering, Cybersecurity, Data Science, or related field.

 

Technical & Professional Skills

 

Senior Consultant

  • 5+ years in software, AI, or automation engineering.
  • 2+ years developing AI/ML solutions.

 

Manager

  • 8+ years in software, AI, automation, or cybersecurity technology.
  • 3+ years leading AI or automation initiatives

 

AI & Machine Learning

  • Generative AI, LLMs, Agentic AI, Machine Learning, NLP, RAG

 

Platforms:

  • OpenAI, Anthropic Claude, Google Gemini, Azure AI Services, AWS Bedrock, Hugging Face

 

Programming & Frameworks

 

Languages: Python, Java, JavaScript/TypeScript, SQL

 

Frameworks: FastAPI, Flask, Spring Boot, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Semantic Kernel

 

Quality Engineering: Selenium, Playwright, Cypress, Postman, JMeter. Knowledge of test automation frameworks and CI/CD integration.

 

Cybersecurity: Knowledge of Security Testing, Vulnerability Management, Threat Modeling, IAM, DevSecOps. Familiarity with ISO 27001, NIST, SOC 2, PCI DSS, and CIS Controls.

 

Cloud & DevOps: Azure, AWS, Google Cloud

 

Tools: Docker, Kubernetes, GitHub Actions, Azure DevOps, Jenkins, Terraform

 

Data: Vector Databases, Elasticsearch, PostgreSQL, MongoDB, Snowflake

 

Preferred Certifications

  • Azure AI Engineer Associate, AWS Machine Learning Specialty, CISSP, CCSP, CEH, CKAD

 

Soft Skills

  • Strong analytical and problem-solving skills
  • Passion for AI and innovation
  • Effective communication and stakeholder management
  • Leadership and mentoring abilities
  • Experience in agile, cross-functional environments

 

Success Measures

  • Deliver AI-powered testing and compliance solutions.
  • Improve Quality Engineering and Cybersecurity through automation.
  • Enable continuous compliance and assurance.
  • Enhance risk visibility and remediation through AI-driven insights.

 

What We Offer
EY offers a competitive remuneration package commensurate with your work experience, where you will be rewarded for your individual and team performance. Plus, we offer:

  • Exposure to large-scale data, analytics, and digital transformation projects
  • Opportunities for global certifications and continuous learning
  • A collaborative, people-first team culture where your voice matters
  • Clear career progression with a recognized global brand

Are you ready to shape your future with confidence? Apply today.

 

EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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