EY
Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior
EY, Charlotte, North Carolina, United States, 28245
Overview
Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior at EY. EY is the only professional services firm with a separate business unit (FSO) dedicated to the financial services marketplace. This role is part of the Service Delivery Centers delivering project-based work and managed services to US-based Financial Services clients. 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. 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 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’re interested in professionals who are passionate about technology, understand data, and can analyze or manipulate it while generating reports for clients. You should be able to articulate problems and proposed solutions, and be willing to learn and adapt to changing requirements. We value team players and hard workers who take initiative to master their craft and produce high-quality work. What Working At EY Offers
We offer a competitive compensation package and Total Rewards, including medical and dental coverage, pension and 401(k) plans, vacation, holidays, and personal days, plus programs and benefits for well-being. Additional benefits include: Opportunities to develop new skills and progress your career Support and coaching from knowledgeable colleagues A collaborative environment focused on a better working world Excellent training and development prospects About EY
EY is a global leader in assurance, tax, transaction, and advisory services. EY focuses on high ethical standards and integrity and provides equal employment opportunities to applicants and employees without discrimination. EY is committed to reasonable accommodation for qualified individuals with disabilities. Seniority level
Mid-Senior level Employment type
Full-time Job function
Management and Manufacturing Industries
Professional Services
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Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior at EY. EY is the only professional services firm with a separate business unit (FSO) dedicated to the financial services marketplace. This role is part of the Service Delivery Centers delivering project-based work and managed services to US-based Financial Services clients. 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. 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 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’re interested in professionals who are passionate about technology, understand data, and can analyze or manipulate it while generating reports for clients. You should be able to articulate problems and proposed solutions, and be willing to learn and adapt to changing requirements. We value team players and hard workers who take initiative to master their craft and produce high-quality work. What Working At EY Offers
We offer a competitive compensation package and Total Rewards, including medical and dental coverage, pension and 401(k) plans, vacation, holidays, and personal days, plus programs and benefits for well-being. Additional benefits include: Opportunities to develop new skills and progress your career Support and coaching from knowledgeable colleagues A collaborative environment focused on a better working world Excellent training and development prospects About EY
EY is a global leader in assurance, tax, transaction, and advisory services. EY focuses on high ethical standards and integrity and provides equal employment opportunities to applicants and employees without discrimination. EY is committed to reasonable accommodation for qualified individuals with disabilities. Seniority level
Mid-Senior level Employment type
Full-time Job function
Management and Manufacturing Industries
Professional Services
#J-18808-Ljbffr