Senior Cloud Developer, AI

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🕒 July 16

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EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

🏥 Healthcare

⚖️ Legal

📣 Marketing

Healthcare • Legal • Marketing

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• 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 • 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 • 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 with product, data, and engineering teams to prioritize AI features

🎯 Requirements

• 4–7 Years in engineering or development • 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 • 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 • Bachelor's or Master’s in Computer Science, AI/ Data Engineering, or related field • 2+ years of experience in AI engineering or development

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events