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Client Technology - Engineering - AI Lead Engineer

Job in Indianapolis, Marion County, Indiana, 46202, USA
Listing for: EY
Full Time position
Listed on 2026-05-20
Job specializations:
  • Engineering
    AI Engineer
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 187600 - 342000 USD Yearly USD 187600.00 342000.00 YEAR
Job Description & How to Apply Below
At EY, we're all in to shape your future with confidence.

We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.  Join EY and help to build a better working world.

** The opportunity*
* Leads the delivery of solution or infrastructure development services for a large or very complex AI/ML project, using strong technical capabilities and outstanding hands-on experience. Takes accountability for the design, development, delivery and maintenance of solutions or infrastructure, driving compliance with and contributing to the development of relevant standards. Fully understands business and user requirements and ensures design specifications meet the requirements from a business and technical perspective.

Owns the integration of AI/ML components into the larger solution, focusing on high user impact.

** Your key responsibilities*
* + Solves complex and escalated aspects of a project, performing coding, debugging, testing and troubleshooting

+ Provides advanced technical expertise to maximize efficiency, reliability and value from current solutions and emerging technologies

+ Develops strong working relationships across Development, Engineering and Architecture teams

+ Provides leadership ensuring expectations, structures and tools are in place to deliver the project

+ Drives consistency to processes, procedures, standards and technical design

** Skills and attributes for success*
* + Advanced technical proficiency in designing, developing, and debugging production-grade AI/ML solutions

+ Advanced knowledge of Python, C#, or R

+ Bachelor's degree preferred

+ More than 10 years applied experience

+ Up-to-date in latest AI/ML Engineering, Generative AI, Agentic platforms and MLOps

+ Strong understanding of LLMs and advanced prompt engineering

+ Significant experience in AI/ML engineering roles

+ Experience delivering AI engineering solutions and handling user requirements

+ CI/CD delivery using Git Hub or ADO

+ Proficiency in fine‑tuning language models

+ Experience developing production-grade RAG systems

+ Knowledge of embedding models and NLP similarity/search systems

+ Familiarity with designing agentic systems

+ Ability to design evaluation frameworks including A/B testing and benchmarking

** Ideally, you'll also*
* + Microsoft/Google/AWS certificates

+

Experience with Kubernetes and Docker

+ Experience delivering using modern methodologies

** What we look for*
* A self‑starter, independent thinker, curious and creative with ambition and passion.

** What we offer you*
* The compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines, which may not be a direct conversion of published US salary ranges. At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

Learn  more .

+ We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business.  The base salary range for this job in all geographic locations in the US is $156,400 to $301,000.  The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $187,600 to $342,000.  

Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.  In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

+ Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

+ Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY…
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