Lead AI Solution Engineer

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

Benefits

• 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
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn