Experimental AI Engineer

EY is hiring an Experimental AI Engineer in Alpharetta, GA (hybrid) to design and deploy advanced generative AI capabilities, including LLMs.

Responsibilities

• Lead the design, development, and deployment of advanced generative AI models, including large language models (LLMs), to address complex business challenges
• Own the end-to-end data science lifecycle, from data acquisition and preprocessing through model validation and optimization
• Develop and deploy machine learning algorithms, focusing on performance and scalability
• Oversee data quality by reviewing complex datasets and identifying where data cleansing is required
• Design and implement data models to manage organizational data
• Migrate data across systems using multiple sources, including requirements identification for storage
• Build AI solutions that integrate with existing business systems to improve functionality and user interaction
• Automate critical data science infrastructure to improve delivery efficiency
• Peer review models and collaborate with relevant business areas to ensure solutions fit intended purposes
• Partner with cross-functional teams to integrate AI-driven insights into products and services
• Mentor and guide junior data scientists, promoting knowledge sharing of cutting-edge techniques and tools
• Stay current with AI trends (including cloud computing and distributed processing) and recommend improvements to existing systems and workflows

Requirements

• 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
• Strong proficiency in Python for data wrangling, visualization, and modeling
• Experience with ML/NLP algorithms, including supervised and unsupervised learning
• Knowledge of cloud ecosystems; Azure is preferred
• Experience with machine learning frameworks and tools such as scikit-learn, Keras, TensorFlow, MXNet, PyTorch, and MLlib
• Experience with distributed computing, GPU, cloud platforms, and Big Data is a plus (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks)
• Experience with SQL, Document DBs, and Vector DBs
• Ability to design batch processing for high-volume data where transactions are collected over a period
• Visualization and storytelling capability, including advanced visualization techniques and communicating data narratives
• Docker is a plus
• Experience with Git and modern software development workflow
• Strong team and business communication skills, including explaining technical concepts to non-technical audiences
• Ability to work independently in a fast-paced environment
• Strong analytical and problem-solving skills
• Self-starter mindset with curiosity and creativity; takes responsibility for continuous self-learning
• Can lead and make decisions during critical times and tough circumstances
• High integrity, strong attention to detail, and excellent collaboration and presentation skills
• Customer focus and excellent time management
• Bachelor/Master/PG preferred in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences, or related fields

Technologies

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

Benefits

• Comprehensive compensation and benefits package, with rewards based on performance
• Base salary range (US): $92,600 to $173,100
• Base salary range (NYC Metro, Washington State, California excluding Sacramento): $111,100 to $196,800
• Total Rewards package includes medical and dental coverage
• Pension and 401(k) plans
• Wide range of paid time off options
• Team-led and leader-enabled hybrid model (most external, client-serving roles work in person 40-60% over the course of an engagement)
• Flexible vacation policy (decide how much vacation time is needed)
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

Location: Alpharetta

Requisition ID: 1753484

Date: Oct 16, 2026

Salary: Competitive