Chief AI Solution Engineer
Summary
Lead AI initiatives, design LLM-based agent architectures, and mentor teams to deliver reliable, compliant conversational solutions using Python and function calling.
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
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