DE-Cloud Native AI and Data Engineer-GCP-GDSN02

EY GDS is looking for a Senior Data and AI Engineering professional to design, build and operate cloud-native data platforms and AI/ML solutions, primarily on Google Cloud.

In this role, you will work on industry-led use cases that combine scalable data engineering, Vertex AI-based machine learning, GenAI-enabled automation and token-aware solution design to help clients modernize enterprise data platforms and accelerate insight generation.

You will collaborate with cross-functional teams to build robust pipelines, integrate GenAI capabilities into data workflows, optimize token usage and cost efficiency, and support production-grade deployments using modern engineering, containerization and CI/CD practices.

While the primary focus will be on Google Cloud, candidates should also understand how similar data engineering, AI/ML and GenAI solution patterns can be deployed on Microsoft Azure, where required by client or enterprise architecture needs.

• Design, build and optimize scalable data pipelines and ETL workflows using Python, Java, Go or Scala, and run them on Apache Flink, Apache Spark and Google Cloud Dataflow, with Dataflow experience preferred.
• Build cloud-native AI/ML solutions using Vertex AI for industry-specific use cases. Candidates should be able to describe the business use case they support, the data flow, model lifecycle and measurable outcome enabled by the solution.
• Integrate GenAI capabilities with data pipelines to enhance automation, insight generation, predictive analytics and intelligent data processing across enterprise platforms.
• Apply token economics principles while designing GenAI-enabled solutions, including prompt optimization, token usage monitoring, cost control, latency management and performance trade-off assessment.
• Stay current with emerging AI and GenAI technologies and identify practical ways to embed GenAI-driven intelligence into modern data platforms.
• Design reusable solution patterns for data engineering, AI/ML and GenAI workloads, with primary implementation on Google Cloud and the ability to adapt similar solutions for deployment on Microsoft Azure where required.
• Develop and maintain application components and automation scripts using Java, Python, Go and scripting languages.
• Manage the complete application and container lifecycle, including build, packaging, deployment, monitoring, troubleshooting and support.
• Apply strong public cloud engineering practices, with hands-on expertise in Google Cloud. Professional or Practitioner certification on GCP is required.
• Demonstrate working knowledge of Microsoft Azure services to support deployment of similar data, AI/ML and GenAI solution architectures across client cloud environments.
• Set up and maintain CI/CD pipelines for application builds and target platform deployments.
• Follow standard procedures for escalating unresolved issues to the appropriate internal engineering teams, with clear problem statements and supporting diagnostics.
• Document technical knowledge, deployment steps, support notes and operating procedures in the form of reusable notes, runbooks and manuals.
• Good to have experience with Apache Beam and Java/Spring Boot for pipeline and application development.
• Responsible for decision-making, optimizing processes, resource management, and overseeing team management as needed for task execution.
• Accountable for allocating personnel, supervising team members, assigning tasks, ensuring that the team has the necessary tools and support to succeed in their roles and optimizing and evaluating their performance to meet organizational goals.

• Strong hands-on experience in data engineering, cloud-native engineering and production-grade AI/ML solution delivery on Google Cloud.
• Practical experience with Vertex AI, including model development or integration, deployment patterns and use-case-driven implementation for enterprise or industry scenarios.
• Ability to build and optimize ETL/data pipelines using Python, Java, Go or Scala, and execute workloads on Spark, Flink and Google Cloud Dataflow.
• Working knowledge of GenAI integration patterns for automation, insight generation, predictive analytics and intelligent data workflows.
• Understanding of token economics for GenAI solutions, including prompt design efficiency, token consumption, latency, cost optimization, usage monitoring and governance considerations.
• Awareness of multi-cloud deployment patterns, with the ability to translate similar data engineering, AI/ML and GenAI solution architectures from Google Cloud to Microsoft Azure where client environments require it.
• Basic to working knowledge of Microsoft Azure cloud services relevant to data platforms, AI/ML workloads, GenAI-enabled applications and cloud-native deployment.
• Strong programming skills in Java, Python, Go and scripting languages, with the ability to troubleshoot and optimize application and data-processing components.
• Good understanding of application and container lifecycle management, including containerized deployment, operational readiness and supportability.
• Experience setting up CI/CD pipelines for build, validation and target platform deployment.
• Professional or Practitioner-level Google Cloud certification, with demonstrated hands-on public cloud delivery experience.
• Strong analytical thinking, problem-solving ability and a structured approach to escalation, documentation and knowledge sharing.
• Clear communication skills and the ability to collaborate with product, data, platform and engineering teams in a delivery-focused environment.
• Good to have familiarity with Apache Beam and Java/Spring Boot.

• Google Cloud certifications such as Professional Cloud Architect / Data Engineer
• Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
• Experience with CI/CD platforms such as GitHub Actions, Jenkins, or Azure DevOps
• Familiarity with AI-assisted development tools such as GitHub Copilot or similar

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences.

We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

Learn more.

Are you ready to shape your future with confidence?

Apply today.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

• Our Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost.
• Professional Development: From entry-level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship.
• People and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing.
• Benefits: Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting-edge learning opportunities that empower you to continually grow and excel in your professional and personal development.
• How to Apply: If you are passionate to join us and are aligned with our commitment to building a better working world, we invite you to apply by completing our user-friendly form with personal and professional information and by providing your consent to data privacy.

Successful candidates advance to a competency-based interview.

If mutual interest persists, a job offer awaits.

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