EY
EY

Senior to Manager | AI Engineer | HCMC Office

RoleMachine Learning
LevelSenior
LocationHo Chi Minh City, Vietnam
WorkOn-site
TypeFull-time
Posted2 days ago
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About the role

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 Dev Sec Ops 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, Lang Chain, Lang Graph, Llama Index, CrewAI, Auto Gen, 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, Dev Sec Ops. 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.

Benefits and perks

Learning Budget

Equity

Required skills

Artificial Intelligence

Machine Learning

Generative AI

RAG

LLM

Automation

Cybersecurity

About EY

Ho Chi Minh City

Headquarters