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EPAM
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Senior GenAI Engineering Lead - AI Delivery & Intelligent Systems

EPAMColombia; Argentina; Mexico; Brazil
Work model
Remote
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
19 tags

Technology context

19

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

AI AgentsAIAWSDistributed SystemsGenAIMCPDatabasesAzurePythonRAGGCPCloud NativeCloudReliability EngineeringDevOpsScalabilityMicroservicesCI/CDAI Solution Engineering

Full listing

Role description

AI innovation is easy.

Delivering AI systems that scale, integrate, and create measurable business value is hard.

At EPAM, we believe the future belongs to engineers who can transform AI ideas into production-ready systems and help organizations become truly AI-Native.

At EPAM, we are reinventing software delivery by combining human expertise with intelligent systems, agentic workflows, and AI-powered engineering.

We are looking for a Senior GenAI Engineering Lead who wants to build the next generation of AI products and platforms.

Responsibilities

  • Design and implement enterprise GenAI applications
  • Develop AI agents, multi-agent systems, RAG architectures, and intelligent workflows
  • Integrate LLMs into enterprise ecosystems
  • Build secure, scalable, and production-ready AI solutions
  • Drive architecture decisions and engineering best practices
  • Collaborate with architects, data engineers, and cloud teams
  • Implement observability, evaluation, testing, and governance frameworks
  • Optimize latency, cost, reliability, and quality
  • Work with: OpenAI, Claude, Gemini, Llama, LangGraph, LangChain, MCP Servers, Vector Databases, Python ecosystems, Azure, AWS, and GCP
  • Act as an AI Champion within EPAM LATAM
  • Mentor engineers and technical communities
  • Promote AI-assisted engineering practices
  • Share knowledge through workshops and enablement programs
  • Help accelerate AI maturity across the region

Requirements

  • 5+ years in software engineering
  • Proficiency in Python, APIs, and microservices
  • Expertise in cloud-native architectures and distributed systems
  • Skills in CI/CD and DevOps practices
  • Hands-on experience with LLMs, GenAI systems, and prompt engineering
  • Background in RAG architectures and agentic AI
  • Familiarity with vector databases and model orchestration
  • Knowledge of evaluation frameworks and AI observability
  • Skills in OpenAI, Claude, Gemini, and Llama
  • Familiarity with LangGraph, LangChain, and MCP Servers
  • Flexibility to use Azure, AWS, and GCP
  • Strong collaboration skills, ability to mentor and influence others, ownership mentality, and passion for continuous learning
  • English proficiency at B2 level or higher