Senior AI Solutions Engineer - Client-Facing Deployment

EY; Boca Raton (FL); Remote; USD 107,000 - 177,000; Full time

Job summary

EY in the United States seeks a Senior Forward Deployed Engineer to lead client engagements and deliver scalable AI/ML and agentic systems across cloud and on‑prem environments. You will own delivery from solution shaping through deployment, working with diverse data teams to build impactful AI solutions.

You’ll apply responsible AI practices, contribute to data pipelines, and collaborate with clients and EY teams to achieve measurable outcomes.

Qualifications

• Bachelor’s degree required (4-year degree).
• 3–6 years of full-time working experience in AI and/or Machine Learning.
• Strong skills in Python.
• Experience identifying, solutioning, designing, building, deploying, and maintaining high‑impact, high‑value production AI/ML solutions on a major cloud platform.
• Proficient in foundation models, generative AI, and agentic AI frameworks (OpenAI, Dall‑e, Langchain, RAG).
• Experience with ML packages like scikit‑learn and PyTorch.
• Experience with natural language processing and deep learning.
• Extensive experience in AI‑assisted and DevOps tools (Claude, Codex, Cursor, GitHub, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines.
• Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation.
• Experience with model retraining and feedback loop methodologies.
• Experience with model and solution evaluation, observability, monitoring and reporting.
• Understanding of data structures, Responsible AI practices, and data modelling, and software engineering best practices.
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.

Responsibilities

• Translate ambiguous business challenges into scoped AI opportunities and implement scalable ML, generative AI, and agentic systems.
• Design AI‑native applications, agentic workflows, reusable tools, connectors, and integrations while enhancing data pipelines.
• Deploy, evaluate, monitor, and optimize learning processes to improve high‑performance models.
• Demonstrate solution value through measurable outcomes and identify next use cases; travel as needed to engage clients.
• Use AI‑native development tools to accelerate delivery while maintaining software engineering, testing, security, and documentation standards.
• Create evaluations, observability, feedback loops, access controls, and human‑in‑the‑loop safeguards.

Skills

Python

Communication

Collaboration

Hybrid teams

Education

Bachelor’s degree

Tools

OpenAI

Langchain

PyTorch

Jira

Azure DevOps

Job description

EY in the United States seeks a Senior Forward Deployed Engineer to lead client engagements and deliver scalable AI/ML and agentic systems across cloud and on‑prem environments. You will own delivery from solution shaping through deployment, working with diverse data teams to build impactful AI solutions.

You’ll apply responsible AI practices, contribute to data pipelines, and collaborate with clients and EY teams to achieve measurable outcomes.