Senior AI/ML Engineering Manager

Ernst & Young Oman; Frankfort (KY); Remote; USD 126,000 - 230,000; Full time

Job summary

EY in the United States is seeking a Manager in Model Engineering to lead AI engineering, ML, and generative AI initiatives across client engagements. You will guide teams to design and deploy scalable AI solutions.

You will collaborate with diverse data and analytics professionals, ensuring responsible deployment, and help shape client strategies while advancing your career within EY's global AI practice.

Qualifications

• A Bachelor’s degree required (4-year degree).
• 6–10 years of full-time 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 (OpenAI, Dall‑e, Langchain, RAG).
• 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

• Lead 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

Generative AI

MLOps

DevOps

Data science

Leadership

Communication

Education

Bachelor's degree

Tools

Git

Azure DevOps

Jira

Langchain

Job description

EY in the United States is seeking a Manager in Model Engineering to lead AI engineering, ML, and generative AI initiatives across client engagements. You will guide teams to design and deploy scalable AI solutions.

You will collaborate with diverse data and analytics professionals, ensuring responsible deployment, and help shape client strategies while advancing your career within EY's global AI practice.