Service Delivery Center, AI Analyst
Ernst and Young2 days ago
Base Salary
$47k - $108k/yr
Responsibilities
- Develop, test, deploy, and maintain production-grade AI/ML, generative AI, and intelligent automation solutions.
- Build and integrate LLM, RAG, and agentic solution components into enterprise applications and platforms.
- Design retrieval pipelines involving chunking, embeddings, vector search, semantic retrieval, and retrieval optimization.
- Design and build agentic systems with multi-agent orchestration, tool use, and memory across single- and multi-step workflows.
- Write clean, modular, production-quality Python for LLM pipelines and agentic applications.
- Prepare, curate, and validate structured and unstructured data for LLM application development.
- Integrate enterprise data sources through RESTful and event-driven APIs and asynchronous workflows.
- Package and deploy LLM applications using containers and cloud orchestration platforms.
- Support project delivery through execution, documentation, status communication, testing, and quality validation.
- Use AI-assisted software engineering tools such as Claude Code and Codex to improve delivery speed and code quality.
Requirements
- At least 1 year of applied engineering experience, including meaningful AI/ML engineering experience.
- Bachelor’s degree preferred.
- Hands-on proficiency in Python and production-quality software engineering for LLM and agentic applications.
- Experience building retrieval-augmented systems using chunking strategies, embedding pipelines, vector search, and retrieval optimization.
- Knowledge of embedding models, semantic retrieval, prompt engineering, and systematic prompt evaluation.
- Experience designing and building agentic systems with orchestration, tool use, and memory patterns.
- Familiarity with structured and unstructured data preparation, RESTful and event-driven APIs, containerization, and cloud deployment.
- Preferred experience building and maintaining production-grade LLM applications from data ingestion through model output delivery.
- Preferred familiarity with AI CI/CD and operationalization, model and workflow deployment, versioning, environment promotion, and release support.
- Preferred familiarity with LLM fine-tuning, instruction tuning, preference optimization, LoRA, QLoRA, and PEFT.
- Preferred familiarity with responsible AI, bias and fairness evaluation, human-in-the-loop design, and explainability in financial services.
- Preferred familiarity with AI data pipeline design and cloud platforms for training and deploying scalable LLM solutions.
- Ability to translate business challenges into AI solutions and collaborate cross-functionally as requirements and technologies evolve.
Benefits
- Medical and dental coverage, pension, and 401(k) plans.
- Paid holidays, winter and summer breaks, personal and family care leave, and other leave options.
- Flexible vacation policy based on personal circumstances.
- Professional growth, personal fulfillment, and an inclusive culture.
- Applications are accepted on an ongoing basis, with a limit of two applications within a six-month period.
Tech Stack
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.