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

EY • Philadelphia, PA

32d • Hybrid

About The Position

The Senior Analyst - Financial Services Organization – AI and Data – Service Delivery Center role involves architecting and deploying production-grade AI agents and multi-agent systems to transform financial services. The role utilizes cutting-edge LLMs and agentic frameworks to build autonomous systems that process millions of transactions, make intelligent decisions, and learn from financial data. This position offers the opportunity to shape how AI reshapes global finance within EY's FSO (Financial Services Organization) Service Delivery Centers, which are composed of high-performing US-based resources working with experienced client-serving professionals on project-based work and managed services for US-based Financial Services clients.

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.
• Knowledge of 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.
• Passion for technology.
• Understanding of data and comfort analyzing or manipulating it while 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.
• 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 and 401(k) plans
• 15 days of vacation
• Ten observed holidays
• Three paid personal days
• Programs and benefits designed to support your physical, financial, and social well-being
• Opportunities to develop new skills and progress your career
• Support and coaching from engaging and knowledgeable colleagues
• Collaborative environment
• Excellent training and development prospects
• Flexible vacation policy
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

What This Job Offers

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