Tech S and T Cloud Dev-AI Product Engineer-NGTO-Senior-GDSF02

At EY youll have the chance to build a career as unique as you are with the global scale support inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself and a better working world for all.

Technical AI Product Engineer

47 Years - Full-time

If you want to move beyond experiments and build AI systems that truly power products and decisionsthis role is for you.

About the Role

We are building next-generation AI-powered products and platforms that transform how businesses operate make decisions and engage with customers.

As a Technical AI Product Engineer you will design and deliver production-grade GenAI and Agentic AI solutionsowning the full lifecycle from problem framing to deployment and continuous optimization.

This role is ideal for engineers who combine deep AI/ML expertise with strong engineering rigor and product thinking and want to build scalable measurable and responsible AI systems in a real-world enterprise setting.

What Youll Do

Build AI Products Not Just Models

• Design and develop GenAI-powered applications using LLMs RAG and agentic workflows
• Translate business problems into measurable AI-driven outcomes
• Define evaluation metrics and product success criteria

Engineer Intelligent Systems at Scale

• Build and optimize retrieval-augmented generation (RAG) pipelines
• Develop agent-based AI systems with tool usage and orchestration
• Deploy solutions on cloud-native architectures (Azure preferred)

Own the AI Lifecycle (GenAI Ops)

• Implement prompt engineering strategies embeddings and fine-tuning approaches
• Build evaluation frameworks and guardrails for reliability and safety
• Enable continuous monitoring of quality latency and cost

Drive Responsible & Secure AI

• Embed responsible AI practices (bias detection explainability moderation)
• Ensure data privacy governance and compliance standards
• Build systems aligned with enterprise security and trust principles

Collaborate & influence

• Partner with product data and engineering teams to prioritize AI features
• Influence enterprise AI architecture and best practices
• Enable teams through reusable AI components and APIs

What You Bring

Must-Have Skills

• Strong programming in Python and SQL
• Hands-on experience with GenAI patterns: Prompt engineering Retrieval-Augmented Generation (RAG) Embeddings & semantic search Agentic workflows
• Experience with AI/ML frameworks: PyTorch / TensorFlow Hugging Face LangChain / Semantic Kernel
• Experience deploying AI solutions on cloud platforms (Azure preferred): Azure OpenAI Azure ML Azure AI Search

Engineering & Platform Skills

• Strong foundation in data processing (Pandas NumPy Spark/Databricks)
• Experience with MLOps / GenAI Ops: MLflow pipelines CI/CD Docker Azure DevOps
• Experience building APIs and integrating AI into applications
• Understanding of monitoring observability and system reliability

Good-to-Have

• Experience building agent-based or autonomous AI systems
• Cost optimization for LLM workloads
• Multi-modal AI (text image voice)
• Frontend integration for AI-driven experiences

Qualifications

• Bachelors or Masters in Computer Science AI/ Data Engineering or related field
• 2 years of experience in AI engineering or development

Additional

• Certifications in AI genAI or Ganetic AI
• Experience with data governance security and compliance standards

EY Building a better working world

EY exists to build a better working world helping to create long-term value for clients people and society and build trust in the capital markets.

Enabled by data and technology diverse EY teams in over 150 countries provide trust through assurance and help clients grow transform and operate.

Working across assurance consulting law strategy tax and transactions EY teams ask better questions to find new answers for the complex issues facing our world today.