Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior

Senior Analyst – Financial Services Organization – AI & Data – Service Delivery Center Location: Manayunk, Charlotte, San Antonio, Jacksonville, Alpharetta EY seeks a Senior Analyst to architect and deploy production‑grade AI agents and multi‑agent systems that transform financial services. You will work with cutting‑edge large language models (LLMs) and agentic frameworks to build autonomous systems that process millions of transactions, make intelligent decisions, and continuously learn from real‑world financial data. Responsibilities Build Autonomous Financial AI Systems: design and implement multi‑agent architectures using LangChain, AutoGen, or CrewAI; deploy production‑ready LLMs fine‑tuned for financial domain expertise (loan underwriting, risk assessment, regulatory compliance); create RAG 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; 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 such as AI‑powered trading assistants, autonomous compliance monitors, and 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. Technical Requirements Core Skills (Must‑Have) 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 seek professionals passionate about technology, with a strong data background, capable of analyzing and manipulating data while generating client‑facing reports. You should express problems and proposed solutions clearly, learn quickly, and adapt to changing requirements. Team players who take initiative and produce high‑quality work are highly valued. Benefits Competitive compensation based on performance and recognition of value added. Medical and dental coverage, pension and 401(k) plans. Minimum of 15 days vacation plus ten observed holidays and three paid personal days. Opportunities to develop new skills, progress your career, and receive coaching. Collaborative environment fostering success and continuous learning. Excellent training and development prospects. Equal Employment Opportunity & Accommodations EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. For assistance, please contact EY’s Talent Shared Services Team. #J-18808-Ljbffr EY