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

EY•Charlotte, NC

5d•$65,500 - $134,000•Hybrid

About The Position

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. 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.

Requirements

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
Good written and verbal communication skills
A willingness and ability to travel at 0%-25%
Valid driver’s license in the US
Valid passport

Nice To Haves

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
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

Responsibilities

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

Benefits

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business.
In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial, and social well-being.
Plus, we offer:
Opportunities to develop new skills and progress your career
Support and coaching from some of the most engaging and knowledgeable colleagues
A collaborative environment where everyone works together to create a better working world
Excellent training and development prospects
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.
The base salary range for this job in all geographic locations in the US is $65,500 to $134,000.
The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $78,600 to $152,100.
Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.
In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.