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EPAM
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Lead AI Solution Engineer

EPAMArgentina; Brazil; Chile; Colombia; Mexico
Apply on company site
Work model
Remote
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
15 tags

Technology context

15

Parsed from the vacancy text; ordered by relevance to this role.

AI AgentsAILLMMCPAI-Assisted DevelopmentMachine LearningPythonNLPAgentic WorkflowsAI Agents DevelopmentAI ArchitectureAI Solution EngineeringChatbot & AIContext EngineeringResponsible AI

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Role description

We are seeking a Lead AI Solution Engineer to guide the delivery of agentic and Gen AI solutions across multiple initiatives, from AI-powered support to training and shopping experiences. You will shape architecture, steer implementation, and ensure reliable, responsible outcomes. Apply to help build high-impact AI products.

Responsibilities

  • Lead end-to-end delivery of AI solution engineering across multiple client initiatives
  • Design scalable agentic workflows and Gen AI application architecture
  • Build and optimize Python services that integrate LLM APIs into production systems
  • Implement AI agents using function calling and MCP to orchestrate tools and actions
  • Define prompt and context strategies to improve consistency and reduce hallucinations
  • Establish Responsible AI and compliance practices for conversational systems
  • Evaluate model behavior and guide iterative improvements using measurable quality signals
  • Coordinate with cross-functional teams to clarify requirements and integration points
  • Review technical designs and code to ensure reliability, security, and maintainability
  • Troubleshoot production issues and drive root-cause analysis and remediation
  • Document solution patterns and support knowledge sharing across teams

Requirements

  • 5+ years AI/ML engineering experience
  • 5+ years Python development experience
  • Strong expertise in LLMs and prompt engineering
  • Proven experience developing AI agents with function calling and MCP
  • Hands-on experience delivering agentic workflows and Gen AI applications
  • Strong knowledge of hallucination prevention techniques and evaluation approaches
  • Solid understanding of Responsible AI and compliance best practices
  • Practical background in NLP and conversational AI development
  • Strong leadership skills to align stakeholders and unblock delivery
  • Strong project execution skills across multiple concurrent AI initiatives
  • Clear communication skills to explain technical tradeoffs to non-technical audiences
  • Upper-Intermediate English proficiency (B2)

Nice to have

  • AI architecture design for LLM-based systems
  • Chatbot and conversational AI optimization techniques
  • Context engineering patterns for retrieval and grounding
  • Responsible AI governance practices and risk mitigation
  • A/B testing and experimentation for chatbot and agent improvements