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Lead AI Solutions Engineer with Python

Role overview

Qualifications

  • Hands-on experience developing and deploying AI applications
  • Strong experience with Python, LangChain, Cloud Technologies and LLM-based application development
  • Proven experience implementing and optimizing RAG solutions
  • Outstanding ability to collaborate with non-technical operations stakeholders

Responsibilities

  • Design and implement AI-powered agents for triage, categorization, and decision support
  • Develop sophisticated natural language matching and classification logic
  • Collaborate with Regulatory Operations and business stakeholders to identify cognitive bottlenecks
  • Take ideas from initial Proof of Concept all the way to scalable production-ready applications

Key facts

Hard skills

Other skills

  • Collaboration
  • Problem Solving

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

Are you passionate about moving beyond AI experimentation and building real-world, production-ready AI applications? We are looking for an experienced AI Solutions Engineer to design and deploy intelligent, agentic workflows. In this role, you won’t just work with models—you will build the systems that automate exception handling, data classification, decision-making, and reporting. Working closely with our operations teams, you will turn complex manual business processes into seamless, automated cognitive workflows, directly reducing manual effort and driving operational efficiency. Responsibilities Build Agentic Workflows: Design and implement AI-powered agents to handle triage, categorization, and decision support for natural-language exceptions and vendor-submitted issues Automate & Classify: Develop sophisticated natural language matching and classification logic to identify and resolve data quality and reporting anomalies Bridge Business & AI: Collaborate closely with Regulatory Operations (Reg Ops) and business stakeholders to map out current workflows, identify cognitive bottlenecks, and translate them into technical automation Prototype to Production: Take ideas from initial Proof of Concept (PoC) all the way to robust, scalable production-ready LLM applications Shape the Future Roadmap: Support long-term initiatives including rule-text interpretation, sourcing/transformation logic, and automated code-generation Requirements Hands-on experience developing and deploying AI applications (not just querying APIs or experimenting in notebooks) Strong experience with Python, LangChain, Cloud Technologies and LLM-based application development Proven experience implementing and optimizing RAG (Retrieval-Augmented Generation) solutions Outstanding ability to collaborate with non-technical operations stakeholders and translate complex business logic into automated workflows Ability to support agentic roadmap work from initial classification through action-taking workflows English proficiency at B2 level or higher

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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