Lead AI Engineer

EPAM Systems Inc

Chicago (IL)

On-site

USD 145,000 - 180,000

Full time

4 days ago
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Benefits offered by this job

Medical, Dental and Vision Insurance (
Health Savings Account
Flexible Spending Accounts
Disability Insurance
Life Insurance
Employee Assistance Program
LinkedIn Learning access
401(k) retirement plan matching
Paid time off
Legal plan
Identity Theft Protection
Pet Insurance
Employee Stock Purchase Program

Job summary

EPAM Systems Inc. is seeking an experienced AI/ML engineer to design, develop, and deploy production-grade Agentic AI solutions for complex insurance workflows. You will leverage LLMs and RAG, document processing, and agent-based architectures at enterprise scale.

You will own the end-to-end AI product lifecycle from ideation through deployment, with a focus on reliability, monitoring, and continuous improvement, collaborating with brokers, underwriters, and operations teams.

Qualifications

  • 5 to 8+ years of experience in Software Engineering, AI/ML, or related domains.
  • Strong proficiency in Python with proven experience building and delivering AI-powered products end to end.
  • Hands-on experience with Large Language Models, Retrieval-Augmented Generation, information extraction, document understanding, classification models, and agentic AI workflow design.
  • Solid foundation in cloud platforms, containerization using Docker, CI/CD pipelines, monitoring, observability, and secure data handling within production-grade environments.
  • Experience with API design, system design, full-stack application development, and working knowledge of TypeScript/Angular or .NET/C# as a complementary skill.
  • Strong analytical, problem-solving, and communication skills, with the ability to clearly articulate complex AI concepts.

Responsibilities

  • Design, develop, and deploy production-grade Agentic AI solutions for insurance workflows.
  • Build AI-powered applications leveraging LLMs, RAG, document processing, information extraction, and agent-based architectures at scale.
  • Own the end-to-end AI product lifecycle from ideation to deployment and monitoring.
  • Develop robust AI evaluation frameworks for testing, monitoring, and reliability.
  • Collaborate with brokers, underwriters, and operations to translate business challenges into scalable AI solutions.
  • Mentor engineers and advance AI development best practices.

Skills

Python
LLM experience
AI/ML
Cloud platforms
Docker
CI/CD
API design
TypeScript/Angular or .NET/C#
Communication skills

Education

Bachelor's degree in CS/Engineering

Tools

Docker
CI/CD pipelines

Job description

Join a global engineering team reimagining insurance technology through intelligent automation. You will design and deploy production-grade Agentic AI systems powered by LLMs, RAG, and document intelligence, transforming how brokers and underwriters operate and enabling smarter, faster business decisions at scale.

EPAM is where tech talent thrives—building groundbreaking solutions, advancing your skills through world-class learning platforms, and working alongside a global community of problem-solvers to make the future real.

Req.#1090479031

Responsibilities
  • Design, develop, and deploy production-grade Agentic AI solutions that automate complex insurance workflows, reducing turnaround times and increasing operational productivity

  • Build AI-powered applications leveraging LLMs, RAG, document processing, information extraction, classification, and agent-based architectures at enterprise scale

  • Own the end-to-end AI product lifecycle, from ideation and rapid prototyping through to deployment, monitoring, and continuous performance improvement

  • Develop robust AI evaluation frameworks encompassing testing, monitoring, performance measurement, and hallucination detection to ensure production-level reliability

  • Collaborate directly with brokers, underwriters, and operations teams to identify high-impact AI adoption opportunities and translate business challenges into scalable solutions

  • Mentor engineers, champion modern AI development best practices, and research emerging technologies to continuously advance the intelligence of the platform

Requirements
  • 5 to 8+ years of experience in Software Engineering, AI/ML, or related domains, with a Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience

  • Strong proficiency in Python with proven experience building and delivering AI-powered products end to end, from concept through to production deployment

  • Hands-on experience with Large Language Models, Retrieval-Augmented Generation, information extraction, document understanding, classification models, and agentic AI workflow design

  • Solid foundation in cloud platforms, containerization using Docker, CI/CD pipelines, monitoring, observability, and secure data handling within production-grade environments

  • Experience with API design, system design, full-stack application development, and working knowledge of TypeScript/Angular or .NET/C# as a complementary skill

  • Strong analytical, problem-solving, and communication skills, with the ability to clearly articulate complex AI concepts and trade-offs to non-technical business stakeholders

We offer
  • Medical, Dental and Vision Insurance (Subsidized)

  • Health Savings Account

  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

  • Short-Term and Long-Term Disability (Company Provided)

  • Life and AD&D Insurance (Company Provided)

  • Employee Assistance Program

  • Unlimited access to LinkedIn learning solutions

  • Matched 401(k) Retirement Savings Plan

  • Paid Time Off

  • Legal Plan and Identity Theft Protection

  • Accident Insurance

  • Employee Discounts

  • Pet Insurance

  • Employee Stock Purchase Program

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.Engineer the Future with a Career at EPAM (https://www.youtube.com/embed/NU_mnNITn2o?si=IiCxyQ4sr1YJWxDG)

This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $145,000 - $180,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

Applications will be accepted on a rolling basis.

EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

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