EY GDS Consulting AIA Nvidia AI Engineer- Senior

AIA NVIDIA AI ENGINEER (PHYSICAL & AGENTIC AI)

The opportunity

We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including Asset management Banking and Capital Markets Insurance and Private Equity Health Government Power and Utilities we provide integrated advisory assurance tax and transaction services. Through diverse experiences world-class learning and individually tailored coaching you will experience ongoing professional development. Thats how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders and in so doing play a critical role in building a better working world for our people for our clients and for our communities. Sound interesting Well this is just the beginning. Because whenever you join however long you stay the exceptional EY experience lasts a lifetime.

We are looking for a Senior NVIDIA AI Engineers build physical and agentic AI systems using the NVIDIA AI Enterprise ecosystem with 4 years of strong hands-on experience in designing and delivering enterprise-grade AI solutions. The role requires deep technical proficiency in Python Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Agentic AI frameworks and cloud platforms (Azure AWS GCP) combined with the ability to lead teams drive innovation and translate complex AI capabilities into measurable business this role you will contribute in two key capacities:

• by leading the design development and deployment of GenAI and Agentic AI solutions including LLM-based applications multi-agent systems and RAG pipelines aligned to target-state architecture and client objectives and
• by driving AI strategy proof-of-concept initiatives and production-grade implementations across industry verticals leveraging cloud-native services MLOps practices and emerging AI technologies to deliver scalable observable and high-impact automation solutions..

EYs Artificial Intelligence & Automation (AIA) team is a specialized intelligencedriven business unit that combines advanced AI automation engineering and deep domain knowledge to deliver transformative enterprise solutions. The AIA practice partners with clients to analyze design and operationalize AIled automation strategies that accelerate digital transformation and unlock measurable business value. We address organizations most critical challenges across process optimization intelligent workflows datadriven decisioning Generative AI adoption and automation-enabled innovation. With a unique ability to translate AI strategy into actionable architectures scalable platforms and productiongrade automations EYs AIA team helps clients build sustainable competitive advantage enhance productivity and navigate disruption by embedding intelligence at the core of their business and technology ecosystems.

Your key responsibilities

AI Strategy & Solution Design

• Design AI-assisted and agentic workflows
• Develop AI systems using NVIDIA AI Enterprise
• Work with NVIDIA NIM Omniverse or Isaac Sim
• Optimize AI workloads on GPUs
• Knowledgeable in Physical AI

GenAI & Agentic AI Development

• Architect and build production-grade applications using Large Language Models (GPT Claude LLaMA Gemini) including prompt engineering fine-tuning and evaluation.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using Vector Databases Knowledge Graphs and hybrid retrieval strategies.
• Build multi-agent orchestration systems using frameworks such as LangGraph AutoGen CrewAI or LlamaIndex with memory management and tool integrations.
• Develop robust API layers integration services and data pipelines to connect AI capabilities with enterprise systems.
• Apply strong analytical thinking structured problem-solving and clear technical communication in solution design.

MLOps Cloud & Observability

• Implement MLOps practices and tools CI/CD for ML containerization (Docker Kubernetes) model versioning and reproducibility to ensure reliable AI deployments.
• Deploy and manage AI workloads on cloud platforms (Azure AWS GCP) leveraging services such as Azure OpenAI Azure AI Search SageMaker or Vertex AI.
• Build observability into AI systems monitoring latency model drift token usage performance metrics and guardrails for responsible AI.
• Ensure seamless integration of optimized solutions into the overall product or system architecture.

Team Leadership & Collaboration

• Mentor and guide team members on AI/ML best practices emerging GenAI technologies and engineering standards through design discussions code reviews and knowledge sharing.
• Keep the team updated on the latest advancements in GenAI Agentic AI and related technologies to bring innovative solutions to engagements.
• Support all phases of delivery including sprints testing cycles deployments and hypercare ensuring timely delivery under tight timelines.
• Present solutions architecture decisions and results to both technical and business stakeholders with strong written and verbal communication.

Required Skills

• 4 years of relevant professional experience with a strong foundation in AI/ML with 46 years of AI/ML engineering experience.
• Expertise in:
  • Core AI/ML: Python PyTorch TensorFlow Hugging Face Transformers ML algorithms feature engineering model evaluation
  • Strong Python and PyTorch skills
  • Experience with NVIDIA GPUs and CUDA

Good to Have

• Exposure to:
  • Experience working with LLMs or GenAI tools

Preferred Qualifications

• Certifications in Azure AI (preferred) AWS Machine Learning or GCP Professional ML Engineer.
• Published research patents or conference talks in AI/ML or NLP domains.
• Certifications or hands-on experience in MLOps Kubernetes or DevOps for AI.

Education:

• Degree: Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science Engineering Mathematics or a related field or equivalent practical experience

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations Argentina China India the Philippines Poland and the UK and with teams from all EY service lines geographies and sectors playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants we offer a wide variety of fulfilling career opportunities that span all business GDS you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. Well introduce you to an ever-expanding ecosystem of people learning skills and insights that will stay with you throughout your career.

• Continuous learning: Youll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: Well provide the tools and flexibility so you can make a meaningful impact your way.
• Transformative leadership: Well give you the insights coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs.