Financial Services - Forward Deployed Engineer - Technology Consulting - Engineering- Senior
Ernst and Young3 days ago
Base Salary
$112k - $211k/yr
Responsibilities
- Design, develop, test, deploy, and support production-grade AI/ML, generative AI, and intelligent automation solutions.
- Translate business and user requirements into technical designs, APIs, workflows, and implementation plans.
- Build and integrate LLM, RAG, and agentic components into enterprise applications and platforms.
- Work directly with client stakeholders to clarify needs, navigate constraints, and own technical workstreams through implementation, testing, and deployment.
- Build APIs, data services, asynchronous workflows, and event-driven integrations using Apache Kafka or comparable messaging platforms.
- Support deployment and troubleshooting across client cloud, on-premises, and hybrid environments.
- Improve the performance, resilience, maintainability, and cost efficiency of deployed AI systems.
- Design and implement LLM evaluation, observability, monitoring, and production remediation practices.
- Participate in architecture and design reviews and communicate project status, risks, blockers, and technical tradeoffs.
- Use version control, code review, automated testing, CI/CD practices, and AI-assisted software engineering tools.
Requirements
- 3+ years of experience in software engineering, application development, systems integration, or a related technical role, including meaningful AI/ML engineering experience.
- A degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience; a bachelor’s degree is preferred.
- Hands-on application or service engineering experience with Python, Java, TypeScript, or a comparable language.
- Experience designing, building, and maintaining production-grade LLM applications and end-to-end pipelines.
- Experience with retrieval-augmented generation, embeddings, vector search, semantic retrieval, prompt engineering, and enterprise knowledge sources.
- Experience designing and building agentic systems with orchestration, tool use, memory, failure handling, retries, fallbacks, and context management.
- Working knowledge of APIs, data formats, software testing, structured and unstructured data, containerization, and orchestration.
- Experience with application frameworks such as Google ADK, LangChain, or LangGraph.
- Familiarity with LLM evaluation, observability, fine-tuning, inference optimization, AI security, responsible AI, data pipelines, and cloud AI platforms.
- Ability to communicate complex AI behavior and tradeoffs to technical and nontechnical stakeholders and operate effectively in regulated environments.
- Prior consulting experience and an MBA or MS are preferred.
Benefits
- Medical and dental coverage.
- Pension and 401(k) plans.
- A wide range of paid time off options.
- Positions are available in New York, Atlanta, Boston, Charlotte, Chicago, Grandview Heights, Hoboken, and Philadelphia, with other US office salary locations referenced.
- EY accepts applications on an ongoing basis.
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.