We are seeking a Chief AI Solution Engineer to lead and elevate multi-stream AI initiatives across agentic and conversational solutions. You will guide architecture, delivery, and quality for LLM-based products while collaborating with cross-functional teams. Apply to help shape reliable, compliant AI outcomes.

Responsibilities Lead end-to-end delivery of LLM-based solutions across agentic and conversational use cases

Define technical direction for AI agents, agentic workflows, and Gen AI application development

Design robust agent architectures using function calling and MCP to meet product goals

Build and optimize Python services that integrate models, tools, and orchestration layers

Establish quality gates to reduce hallucinations and improve response accuracy and reliability

Drive Responsible AI and compliance practices across the solution lifecycle

Collaborate with stakeholders to clarify requirements, constraints, and success criteria

Mentor engineers and set engineering standards for Gen AI assisted development

Coordinate with data and analytics partners to support experimentation and measurement

Review system performance and iterate on prompts, tools, and workflows to improve outcomes Requirements 7+ years of AI/ML engineering experience with LLM-based applications

5+ years of leadership experience guiding AI engineers and cross-functional stakeholders





Strong project delivery skills across multiple concurrent AI initiatives

Expert LLM expertise including prompt engineering and function calling

Advanced Python skills for integrating, optimizing, and scaling AI workflows

Hands-on AI agents development skills using function calling and MCP

Solid Responsible AI and compliance knowledge including ethical AI best practices

Strong NLP and Conversational AI development background

Proven hallucination prevention skills to improve chatbot reliability

Upper-Intermediate English proficiency (B2) Nice to have AI architecture skills for scalable, maintainable LLM systems

Chatbot and AI expertise including evaluation and testing strategy for conversational agents

Context engineering skills to improve grounding, memory, and retrieval quality

Responsible AI specialization including policy-aligned safety patterns and governance We offer International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the LinkedIn Learning library and 22,000+ courses

General career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Chief AI Solution Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina