Lead AI Solutions Engineer with Python

EPAM Systems Inc; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

EPAM Systems is seeking an experienced AI Solutions Engineer to design and deploy agentic workflows that automate exception handling, data classification, and decision-making. You will bridge regulatory operations with business stakeholders to translate complex processes into scalable automation, moving from PoC to production-ready LLM applications.

You will collaborate with operations teams and shape the future roadmap, leveraging Python, LangChain, and cloud technologies to build robust AI

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 and translate complex business logic into automated workflows
• English proficiency at B2 level or higher

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

Skills

AI application development

Python

LangChain

LLM-based application development

RAG (Retrieval-Augmented Generation)

Cloud Technologies

Stakeholder collaboration

English (B2+)

Tools

Python

LangChain

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