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

EY

US · Hybrid Full-time Senior $66k – $152k/yr 1w ago

About the role

Location

Manayunk, Charlotte, San Antonio, Jacksonville, Alpharetta, Dallas

About EY

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.

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!

Senior Analyst – Financial Services Organization – AI and Data – Service Delivery Center

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.

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 that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients. You’ll also need to be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements. On top of this, we’re looking for team players and hard workers who are not afraid to take initiative to master their craft and produce high‑quality work. If you have a proactive approach and want to be part of a group that continues to grow significantly, this role is for you.

What Working at EY Offers

  • Competitive compensation package rewarded based on performance
  • Total Rewards package includes medical and dental coverage, pension and 401(k) plans, a minimum of 15 days vacation plus ten observed holidays and three paid personal days, and programs supporting 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 where everyone works together to create a better working world
  • Excellent training and development prospects

What We Offer You

  • Comprehensive compensation and benefits package; base salary range for this job in all U.S. locations is $65,500 – $134,000 (NYC Metro, Washington State, and California (excluding Sacramento) $78,600 – $152,100). Individual salaries are determined by education, experience, knowledge, skills, and geography.
  • Total Rewards includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time‑off options.
  • Team‑led and leader‑enabled hybrid model: most external, client‑serving roles work in person 40‑60% of the time over an engagement, project, or year.
  • Flexible vacation policy: you decide how much vacation time you need based on personal circumstances, plus EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.

Application

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

Equal Employment Opportunity

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, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate‑related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.


EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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

Responsibilities

  • Build Autonomous Financial AI Systems
  • Scale AI Solutions for Enterprise Impact
  • Drive Innovation in Financial AI

Benefits

medical coveragedental coveragepension plan401(k) plan

Skills

AutoGenAWS SageMakerAzure OpenAI ServiceChromaClaudeCrewAIGPT-4Google Vertex AILangChainLlamaLLMsMLOpsPineconePythonWeaviate

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