AI/ML Engineering Manager & Solutions Lead

EY; Chattanooga (TN); Remote; USD 126,000 - 230,000; Full time

Job summary

EY invites experienced professionals to join its AI, Data & Engineering team to research, build, and implement scalable AI/ML solutions for clients across environments. You will lead multidisciplinary teams, drive innovation, and ensure responsible deployment while delivering measurable business value.

You will collaborate with clients and EY teams to design modern AI engineering solutions, navigate data and analytics challenges, and advance learning processes for continuous performance

Qualifications

• Bachelor’s degree required (4-year degree).
• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning.
• 2-4 years of experience directly managing technical teams.
• Strong skills in Python.
• Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams.
• Experience designing, building, 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)) and ML packages like scikit-learn and PyTorch.
• Experience with natural language processing and deep learning.
• Extensive experience in DevOps tools (GIT, 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, data modeling, software engineering, and Responsible AI 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.
• Skills in Technical Design Optimization
• Strong relationship‑building skills
• Demonstrated client trust and value
• Digital fluency and emotional agility
• Commercial acumen and negotiation skills
• Proven ability to lead teams and manage change

Responsibilities

• Leading AI workstreams from solution design through production deployment and ongoing optimization.
• Continuously improving processes by identifying innovative solutions through research and analysis.
• Managing multidisciplinary teams to deliver complex AI engineering initiatives, with accountability for quality, responsible deployment, and results.
• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
• Identifying opportunities for additional services and managing engagement economics.

Skills

Python

Cloud platforms

OpenAI

Langchain

RAG

PyTorch

scikit-learn

DevOps

Jira

Git

Azure DevOps

SQL

Pandas

Spark

NLP

MLOps

LLMOps

AgentOps

CI/CD

Data modeling

Responsible AI

Mathematics / statistics

Education

Bachelor's degree

Master's degree

Tools

Git

Azure DevOps

Jira

Spark

Job description

EY invites experienced professionals to join its AI, Data & Engineering team to research, build, and implement scalable AI/ML solutions for clients across environments. You will lead multidisciplinary teams, drive innovation, and ensure responsible deployment while delivering measurable business value.

You will collaborate with clients and EY teams to design modern AI engineering solutions, navigate data and analytics challenges, and advance learning processes for continuous performance