Location: San Antonio, San Francisco, Atlanta, Chicago, Dallas, Houston, and Miami
The opportunity#TechnologyConsulting #AIAt EY Consulting, we help Technology companies transform through the power of people, technology, and innovation. Our AI Engineering and Solutions team builds Tech Sector Transformative solutions. These are production AI systems that change how software, cloud, semiconductor, cybersecurity, and digital-platform companies operate and grow.
As a Senior and Forward Deployed Engineer (FDE), you will help build our FDE capability from the ground up. You will work alongside client teams, write production code, and deliver AI systems that fit how work gets done in the client environment. You will grow across four disciplines: software engineering, AI and platform fluency, sector knowledge, and customer leadership.
This role is not additional delivery capacity. It is a different kind of talent. Each engagement should create value that compounds: a project becomes a solution pattern, the pattern becomes a sector playbook, the playbook becomes a platform primitive, and the platform primitive becomes a competitive advantage for EY and our clients.
Your key responsibilities- Work alongside client teams to understand requirements and build AI solutions that fit their processes and constraints.
- Design, develop, test, deploy, and support production-grade generative AI, RAG, and agentic solutions.
- Solve complex 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 the solutions you build.
- Support delivery through estimation, documentation, status communication, and risk identification.
- Contribute reusable code, solution patterns, and demonstrations to proposals and to the practice.
- Use AI-assisted engineering tools such as Claude Code, Codex, or equivalent as part of day-to-day engineering delivery.
Skills and attributes for successTo qualify for the role, you must have:- 5+ years of applied engineering experience, including meaningful experience in AI/ML engineering roles.
- LLM depth, not just API usage. Strong understanding of LLMs, advanced prompt engineering, and generative AI delivery patterns.
- Applied AI engineering with a safety mindset. Experience building production-grade RAG systems, including retrieval, grounding, ranking, and guardrails.
- Workflow-centric AI design. Familiarity with agentic systems and multi-step AI workflows.
- Strong systems and performance orientation across APIs, services, asynchronous workflows, and cloud-native patterns.
- Full-stack and infrastructure skills. Strong hands-on Python or Java, exposure to Azure, AWS, and/or GCP, and CI/CD using GitHub or Azure DevOps.
- Customer-facing ambiguity handling. Comfort working 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, based on client and project needs.
- Candidates must be legally authorized to work in the U.S. without the need for employer sponsorship, now and in the future
Ideally, you will have:- Platform thinking. Interest in building reusable components rather than one-off solutions.
- Data and lakehouse skills. Experience with embedding models, vector search, and platforms such as Databricks, Snowflake, or Microsoft Fabric.
- Structured reasoning and evaluation. Experience with benchmarking, A/B testing, offline quality assessment, and production monitoring.
- Architect-level customer guidance in design discussions.
- Field engineering and enablement. Experience helping client teams adopt the tools you build.
- High-trust client relationships built over one or more engagements.
- Experience supporting software, cloud, semiconductor, cybersecurity, digital-platform, media technology, or AI-native organizations.
- Experience with Kubernetes, Docker, GPU-accelerated workloads, or orchestration frameworks such as LangGraph, LangChain, or Semantic Kernel.
- Microsoft, Google Cloud, or AWS certifications.
- Bachelor's degree in computer science, engineering, or a related field.
What we offer youAt EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.
- The salary range for this job is:
- New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $122,900 to $204,900
- Bay Area California offices - $128,100 to $213,400
- All other offices locations in the US, including Sacramento - $102,500 to $187,900
- Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Are you ready to shape your future with confidence? Apply today. - To make the most of your application experience, please limit yourself to two applications within a six-month period.
- EY accepts applications for this position on an on-going basis.
- For those living in California, please click here for additional information.
- At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.
