Senior AI Solutions Engineer - Client-Facing & Deployment

EY; City of Rochester (NY); Remote; USD 128,000 - 193,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking a Senior Forward Deployed Engineer to lead end-to-end AI/ML delivery, working directly with clients to diagnose problems and implement scalable AI, machine learning, and agentic systems. You will enhance data pipelines, own delivery from solution shaping through deployment, and collaborate with a diverse team of data and analytics professionals.

You will work hands-on with clients, design AI‑native applications, and maintain software engineering standards while exploring

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.
• Ability to collaborate and communicate effectively with diverse, hybrid and global teams.
• 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 (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.
• 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.

Responsibilities

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

Skills

Python

Analytical thinking

Communication

Project management

Travel readiness

Education

Bachelor’s degree

Tools

Claude

Codex

Cursor

GitHub

Azure DevOps

Job description

EY is seeking a Senior Forward Deployed Engineer to lead end-to-end AI/ML delivery, working directly with clients to diagnose problems and implement scalable AI, machine learning, and agentic systems. You will enhance data pipelines, own delivery from solution shaping through deployment, and collaborate with a diverse team of data and analytics professionals.

You will work hands-on with clients, design AI‑native applications, and maintain software engineering standards while exploring