Senior AI Deployment Engineer — Client-Facing, Scalable ML

EY; Baltimore (MD); Remote; USD 107,000 - 193,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Generous PTO

Job summary

EY is seeking a Senior Forward Deployed Engineer to partner with clients and EY teams to diagnose business problems and deliver scalable AI, ML, and agentic solutions. You will enhance data pipelines, own delivery from solution shaping through deployment, and collaborate with data professionals in a fast-paced, client‑facing environment.

You will work with a multidisciplinary team of scientists and engineers, leveraging Claude, Codex, Cursor, and GitHub, while ensuring responsible AI practices

Qualifications

• Bachelor’s degree in a relevant field.
• 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 production AI/ML solutions on a major cloud platform.
• Proficient in foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, DALL‑E, Langchain, Retrieval Augmented Generation (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 for developing, deploying, and scaling analytical solutions.
• 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.
• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements.

Responsibilities

• Translate ambiguous business challenges into scoped opportunities, then research and implement scalable ML, generative AI, and agentic systems.
• Design AI-native apps, agentic workflows, reusable tools, connectors, and integrations; enhance data pipelines and storage.
• 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 for client engagements.
• 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 to manage quality, safety, reliability, performance and cost.

Skills

Python

AI/ML

Cloud platforms

OpenAI

Langchain

RAG

Jira

CI/CD

DevOps

MLOps

LLMOps

AgentOps

Data pipelines

Data structures

Responsible AI

SQL

Pandas

Spark

Generative AI

Agentic AI

Education

Bachelor's degree

Master's degree (advantage)

Tools

Claude

Codex

Cursor

GitHub

Azure DevOps

Kubernetes

PyTorch

scikit-learn

Job description

EY is seeking a Senior Forward Deployed Engineer to partner with clients and EY teams to diagnose business problems and deliver scalable AI, ML, and agentic solutions. You will enhance data pipelines, own delivery from solution shaping through deployment, and collaborate with data professionals in a fast-paced, client‑facing environment.

You will work with a multidisciplinary team of scientists and engineers, leveraging Claude, Codex, Cursor, and GitHub, while ensuring responsible AI practices