Senior AI Solutions Engineer with Python

EPAM Systems; Town of Poland (NY); Hybrid; USD 56,000 - 89,000; Full time

Job summary

EPAM Systems is seeking a Senior or Lead AI Engineer to design and deploy production-ready AI applications, working hybrid with three days in the Warsaw office. You will build agentic workflows that automate exception handling, data classification, decision making, and reporting, turning complex business processes into seamless cognitive pipelines.

Collaborate with Regulatory Operations and stakeholders to map workflows, advance from PoC to scalable systems, and contribute to the future roadmap

Qualifications

• Hands-on experience developing and deploying AI applications, not just experimentation.
• Strong Python skills and practical use of LangChain for LLM apps.
• Proven work with cloud technologies and scalable AI deployments.
• Experience implementing and optimizing RAG solutions.

Responsibilities

• Build Agentic Workflows: design AI-powered agents for triage, categorization, and decision support.
• Automate & Classify: develop NLP matching and classification to resolve data issues.
• Bridge Business & AI: map current workflows with stakeholders to automate cognitive bottlenecks.
• Prototype to Production: take PoC ideas to scalable production-ready LLM applications.
• Shape the Future Roadmap: contribute to rule-text interpretation and automated code-generation.

Skills

Python

LangChain

Cloud Technologies

RAG

Job description

Role overview

We are seeking a highly skilled Senior or Lead AI Engineer with experience in Python, willing to join a Project for one of our Key Clients. This position offers a hybrid model, with 3 days per week working from the Warsaw office. Are you passionate about moving beyond AI experimentation and building real-world, production-ready AI applications? We are looking for an 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