Experimental AI Engineer

EY is seeking an Experimental AI Engineer to help design, develop, and deploy advanced generative AI solutions, including large language models (LLMs), and turn AI insights into business-ready products and services. This hybrid role is based in Alpharetta, GA, with responsibilities spanning the full data science lifecycle and the creation of scalable, automated infrastructure for data science teams.

What you’ll do

• Lead the design, development, and deployment of advanced generative AI models, including LLMs, to address complex business challenges
• Own the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization, following best practices to achieve high-quality outcomes
• Develop and deploy machine learning algorithms with a focus on performance and scalability
• Mentor and guide junior data scientists, supporting knowledge sharing of cutting-edge techniques and tools
• Collaborate with cross-functional teams to integrate AI-driven insights into products and services, translating models into practical solutions with measurable impact
• Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction
• Review complex datasets to establish data quality and identify where data cleansing is needed
• Design and implement data models for managing organizational data
• Migrate data between systems using multiple sources, including identifying and implementing storage requirements
• Analyze emerging trends such as cloud computing and distributed processing and apply relevant industry knowledge to business use cases
• Peer review models and work with relevant business areas to incorporate input and ensure fit for purpose
• Automate key infrastructure for the data science team
• Stay current with AI trends and recommend improvements to existing systems and workflows

What you bring

• 8+ years of experience in machine learning and large-scale data acquisition, transformation, and cleaning for both structured and unstructured data
• Experience with generative LLM fine-tuning and prompt engineering
• Proficiency in Python for data wrangling, visualization, and modeling
• Experience with ML and NLP algorithms, including supervised and unsupervised learning
• Knowledge of cloud ecosystems, with Azure preferred
• Experience with machine learning frameworks and tools such as sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, and MLlib
• Strong programming skills in Python
• Experience with distributed computing, GPU, cloud platforms, and Big Data tools (GCP, AWS, MS Azure, Hadoop, Spark, Databricks) is a plus
• Experience with SQL, Document DBs, and Vector DBs
• Batch processing experience, including designing efficient methods to process high volumes of data collected over a period
• Visualization and storytelling skills, including advanced visualization techniques and the ability to explain data through narrative
• Containerization experience with Docker is a plus
• Experience with Git and modern software development workflows
• Strong team and business communication skills, including communicating with technical clients and explaining concepts to non-technical stakeholders
• Ability to thrive in a fast-paced environment and work independently
• Excellent communication skills and strong analytical/problem-solving abilities
• Preferred education: Bachelor/Master/PG in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences, or a related field
• Strong integrity, attention to detail, and a customer-focused mindset

Technologies

Python, Azure, sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib, GCP, AWS, MS Azure, Hadoop, Spark, Databricks, SQL, Document DBs, Vector DBs, Docker, Git, LLMs, prompt engineering

Compensation and benefits

• Comprehensive compensation and benefits package rewarded based on performance and recognized for business value
• Base salary range in the US: $92,600 - $173,100
• Base salary range for New York City Metro Area, Washington State, and California (excluding Sacramento): $111,100 - $196,800
• Total Rewards package includes medical and dental coverage
• Pension and 401(k) plans
• Wide range of paid time off options, including EY paid holidays and Winter/Summer breaks
• Team-led and leader-enabled hybrid model, with most external client-serving roles working in person 40-60% of the time over an engagement, project, or year
• Flexible vacation policy
• Time off for designated EY Paid Holidays, Personal/Family Care, Winter/Summer breaks, and other leaves of absence

Location: Alpharetta, GA (hybrid).
Date: Oct 16, 2026.
Requisition ID: 1753484.
Salary: Competitive.