Forward Deployed Engineer - Applied AI - Senior - Financial Services - Consulting
Ernst and Young2 months ago
Base Salary
$107k - $201k/yr
Responsibilities
- Design, develop, test, deploy, and support production-grade AI/ML, generative AI, and intelligent automation solutions.
- Build and integrate LLM, RAG, and agentic components into enterprise applications and platforms.
- Translate business and user requirements into technical designs, APIs, workflows, and supportable implementation patterns.
- Contribute to system architecture across service boundaries, orchestration layers, data flows, security controls, and external integrations.
- Debug, troubleshoot, and remediate production AI systems across retrieval, orchestration, and generation layers.
- Improve the performance, resilience, maintainability, and cost efficiency of deployed AI systems.
- Support project delivery through estimation, documentation, status communication, risk identification, and design reviews.
- Partner with development, engineering, product, data, architecture, project leadership, risk, legal, and audit teams.
- Use AI-assisted software engineering tools such as Claude Code, Codex, or equivalent agentic coding platforms.
Requirements
- Bachelor’s degree is preferred; an MBA or MS is also preferred.
- At least 3 years of applied engineering experience, including meaningful AI/ML engineering experience.
- Hands-on Python proficiency for clean, modular, production-quality LLM pipelines and agentic applications.
- Experience designing and maintaining production-grade LLM applications, including data ingestion through model output delivery.
- Experience building RAG systems with chunking, embedding pipelines, vector search, semantic retrieval, and retrieval optimization.
- Experience designing agentic systems with multi-agent orchestration, tool use, memory, failure handling, retries, fallbacks, and context management.
- Experience implementing LLM evaluation frameworks for correctness, output quality, safety, and business KPIs.
- Familiarity with structured and unstructured data preparation, RESTful and event-driven APIs, containers, orchestration, and cloud deployment.
- Familiarity with model observability, LLM fine-tuning, inference optimization, AI security, responsible AI, data pipelines, and cloud-based ML platforms is a plus.
- Prior consulting experience is preferred.
- Ability to communicate complex AI behaviors and trade-offs to technical and non-technical stakeholders and operate effectively in regulated environments.
Benefits
- Base salary is listed at $106,900–$176,500 for US geographic locations and $128,400–$200,600 for New York City Metro Area, Washington State, and California excluding Sacramento.
- Medical and dental coverage, pension, and 401(k) plans are included.
- Paid time off includes flexible vacation, EY-paid holidays, winter and summer breaks, personal and family care leave, and other leaves of absence.
- The role follows EY’s team-led, leader-enabled hybrid model, with most external client-serving employees expected to work in person 40–60% of the time during an engagement, project, or year.
- EY accepts applications on an ongoing basis and provides reasonable disability-related accommodations.
Tech Stack
Categories
Forward Deployed
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.