Technology Consulting - TMT - Forward Deployed Engineer - Senior
Ernst and Young5 days ago
San Antonio, TX, USASenior
Base Salary
$103k - $213k/yr
Responsibilities
- Work alongside client teams to understand requirements and build AI solutions suited to their processes and constraints.
- Design, develop, test, deploy, and support production-grade generative AI, RAG, and agentic solutions.
- Solve technical problems through coding, debugging, testing, and structured design remediation.
- Translate business requirements into technical designs, APIs, workflows, and user stories.
- Contribute to system design across service boundaries, orchestration layers, data flows, security controls, and integrations.
- Add evaluation, monitoring, and safety checks to solutions.
- Support delivery through estimation, documentation, status communication, and risk identification.
- Contribute reusable code, solution patterns, demonstrations, proposals, and practice materials.
- Use AI-assisted engineering tools such as Claude Code, Codex, or equivalent.
- Work directly with client stakeholders and help client teams adopt the tools built.
Requirements
- 5+ years of applied engineering experience, including meaningful experience in AI/ML engineering roles.
- Strong understanding of LLMs, advanced prompt engineering, generative AI delivery patterns, and production-grade RAG systems.
- Experience with retrieval, grounding, ranking, guardrails, agentic systems, and multi-step AI workflows.
- Strong systems and performance orientation across APIs, services, asynchronous workflows, and cloud-native patterns.
- Hands-on Python or Java experience; exposure to Azure, AWS, and/or GCP; and CI/CD using GitHub or Azure DevOps.
- Ability to handle ambiguity and work directly with client stakeholders when requirements are unclear.
- Ability to work in person at an EY office and/or client location up to 50% of the time.
- Legally authorized to work in the U.S. without current or future employer sponsorship.
- Preferred experience with embedding models, vector search, Databricks, Snowflake, Microsoft Fabric, benchmarking, A/B testing, offline quality assessment, production monitoring, and architect-level customer guidance.
- Preferred experience with field engineering, client enablement, technology-sector organizations, Kubernetes, Docker, GPU-accelerated workloads, LangGraph, LangChain, or Semantic Kernel.
- Microsoft, Google Cloud, or AWS certifications are preferred.
- A bachelor's degree in computer science, engineering, or a related field is preferred.
Benefits
- Medical and dental coverage.
- Pension and 401(k) plans.
- A wide range of paid time off options.
- Work in an EY office and/or client location up to 50% of the time based on client and project needs.
- The position is open 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.