Autonomous Finance ML Engineer — LLMs & Multi-Agent Systems

EY

San Antonio (TX)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Medical and dental coverage
Pension and 401(k) plans
Vacation and holidays

Job summary

EY is seeking a Senior Analyst to architect production‑grade AI agents and multi‑agent systems for financial services. You will work with large language models and agentic frameworks to build autonomous systems that handle millions of transactions and continuously learn from real‑world data.

You will translate complex regulations into agent behaviors, collaborate with domain experts, and present solutions to executives. EY offers growth, competitive compensation, and strong benefits.

Qualifications

  • 3–5 years of Python programming with production deployment experience.
  • Hands-on experience with LLMs such as GPT-4, Claude, or similar.
  • Experience with LangChain, AutoGen, CrewAI or similar multi-agent tools.
  • Experience with vector databases for semantic search at scale.
  • Knowledge of cloud platforms and MLOps practices.

Responsibilities

  • Design and deploy production-grade AI agents and multi-agent systems.
  • Scale AI solutions with sub-second latency and robust monitoring.
  • Prototype AI applications and translate regulations into agent behavior.

Skills

Python programming
LLMs
Agentic AI frameworks
Vector databases
Cloud platforms
MLOps

Tools

LangChain
AutoGen
CrewAI
Pinecone
Weaviate
Chroma
AWS SageMaker
Azure OpenAI Service
Google Vertex AI
Kafka
Flink

Job description

EY is seeking a Senior Analyst to architect production‑grade AI agents and multi‑agent systems for financial services. You will work with large language models and agentic frameworks to build autonomous systems that handle millions of transactions and continuously learn from real‑world data.

You will translate complex regulations into agent behaviors, collaborate with domain experts, and present solutions to executives. EY offers growth, competitive compensation, and strong benefits.

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