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

EY • Charlotte, NC

7d • $65,500 - $152,100 • Hybrid

About The Position

EY is seeking a Senior Machine Learning Engineer (MLE) for their Service Delivery Center, AI & Data team, specializing in Machine Learning. This role focuses on architecting and deploying production-grade AI agents and multi-agent systems within the financial services industry. The engineer will work with cutting-edge LLMs and agentic frameworks to build autonomous systems that process transactions, make decisions, and learn from financial data, ultimately shaping the future of AI in 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.
• Experience with Agentic AI frameworks: LangChain, AutoGen, CrewAI, or similar multi-agent orchestration tools.
• Experience with Vector databases: Pinecone, Weaviate, or Chroma for semantic search at scale.
• Experience with Cloud platforms: AWS SageMaker, Azure OpenAI Service, or Google Vertex AI.
• Experience with MLOps practices: Model versioning, A/B testing, drift detection, and continuous deployment.
• Comfort analyzing or manipulating data and generating reports for clients.
• Ability to clearly articulate both problems and proposed solutions.
• Willingness to learn and quickly adapt to changing requirements.
• Team player and hard worker not afraid to take initiative to master their craft and produce high-quality work.
• Proactive approach.

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

• 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.
• 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.
• 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

• Medical and dental coverage
• Pension plan
• 401(k) plan
• Flexible vacation policy
• Paid time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence
• Opportunities to develop new skills and progress your career
• Support and coaching from engaging and knowledgeable colleagues
• Collaborative environment
• Excellent training and development prospects

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed