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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior - **Company:** Ernst & Young LLP - **Location:** Philadelphia, PA, United States - **Experience:** Expert - **Salary:** $65,500.0 - $152,100.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Computer Programming, Databases, Continuous Delivery, Data Visualization, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Open Source Technology, Software Deployment, Data Streaming, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Generative AI, Apache Flink, Apache Kafka, Machine Learning Operations, Virtual Agents, GPT, Software Version Control, Databricks - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b74ecbc2e66a148f ## About the Role Do you have a valid Driver's License license?, Do you have experience in Underwriting?, 3-5 years of Python programming with production deployment experience Hands-on experience with LLMs: GPT-4, Claude, Llama, or similar foundation models Agentic AI frameworks: LangChain, AutoGen, CrewAI, or similar multi-agent orchestration tools Vector databases: Pinecone, Weaviate, or Chroma for semantic search at scale Cloud platforms: AWS SageMaker, Azure OpenAI Service, or Google Vertex AI MLOps practices: Model versioning, A/B testing, drift detection, and continuous deployment Preferred Skills (Nice-to-Have) Experience with financial services applications (trading, risk, compliance, or banking) Knowledge of prompt engineering and in-context learning optimization Familiarity with model fine-tuning techniques (LoRA, QLoRA, PEFT) Understanding of AI safety practices and responsible AI frameworks Experience with real-time streaming architectures (Kafka, Flink) Contributions to open-source AI projects Good written and verbal communication skills A willingness and ability to travel at 0%-25% Valid driver's license in the US Valid passport Ideally, you'll also have Certification in any database management system, reporting or data visualization, or programming/statistical language Working knowledge or certifications in cloud technologies such as Snowflake, Databricks, AWS, or Azure Experience with generative AI models and techniques, including GANs and Transformers Understanding of the ethical implications of generative AI and commitment to responsible AI practices What we look for We're interested in professionals that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients. You'll also need to be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements. On top of this, we're looking for team players and hard workers who are not afraid to take initiative to master their craft and produce high-quality work. If you have a proactive approach and want to be part of a group that continues to grow significantly, this role is for you. ## Description Senior Analyst - Financial Services Organization - AI and Data - Service Delivery Center EY is the only professional services firm with a separate business unit ("FSO") that is dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry. This practice also has several Service Delivery Centers that are made up of high-performing US-based resources who work closely with our experienced client-serving professionals to deliver project-based work and managed services to our US-based Financial Services clients. If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team! The Opportunity You'll architect and deploy production-grade AI agents and multi-agent systems that transform financial services. Working with cutting-edge LLMs and agentic frameworks, you'll build autonomous systems that process millions of transactions, make intelligent decisions, and continuously learn from real-world financial data. This is your chance to shape how AI reshapes global finance. What You'll Do Build Autonomous Financial AI Systems Design and implement multi-agent architectures using LangChain, AutoGen, or CrewAI for complex financial workflows Deploy production-ready LLMs fine-tuned for financial domain expertise (loan underwriting, risk assessment, regulatory compliance) Create RAG (Retrieval-Augmented Generation) systems that connect AI agents to enterprise knowledge bases and real-time market data Implement agentic reasoning systems capable of autonomous decision-making within regulatory boundaries Scale AI Solutions for Enterprise Impact Deploy AI agents serving millions of customers with sub-second latency requirements Build robust MLOps pipelines for continuous model improvement and A/B testing Implement comprehensive monitoring and observability for autonomous systems Optimize inference costs while maintaining performance SLAs Drive Innovation in Financial AI Prototype breakthrough applications: AI-powered trading assistants, autonomous compliance monitors, intelligent fraud detection agents Collaborate with financial domain experts to translate complex regulations into AI agent behaviors Contribute to EY's AI research initiatives and patent applications Present solutions to C-suite executives at major financial institutions ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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