Senior AI Solutions Engineer — Forward-Deployed

EY

Richmond (VA)

Remote

USD 107,000 - 177,000

Full time

3 hours ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

EY is seeking a Senior Forward Deployed Engineer to lead end-to-end AI/ML delivery for diverse clients in the United States. You will diagnose business problems, identify high‑value AI opportunities, and design scalable AI, ML, and agentic systems across cloud and on‑prem environments.

You’ll collaborate with cross‑functional teams, enhance data pipelines, and own delivery from solution shaping through deployment, while ensuring responsible engineering and measurable business impact.

Qualifications

Bachelor’s degree required (4-year degree).
3–6 years of full-time AI and/or ML experience.
Strong Python skills.
Ability to collaborate with diverse, hybrid and global teams.
Experience deploying and maintaining production AI/ML on a major cloud platform.
Proficient with foundation models, generative AI, and agentic AI frameworks (OpenAI, Dall‑e, Langchain, RAG).
Experience with ML packages like scikit-learn and PyTorch.

Responsibilities

Translate ambiguous business challenges into scoped AI opportunities and implement scalable ML, generative AI, and agentic systems.
Design AI-native applications, agentic workflows, and reusable integrations while improving data pipelines.
Deploy, evaluate, monitor, and optimize learning processes for high-performance models.
Demonstrate value and identify next-use cases, with client engagement as needed.
Use AI-native development tools (Claude, Codex, Cursor, GitHub) while upholding software engineering standards.