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
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Lead end-to-end delivery of LLM-based solutions across agentic and conversational use cases
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Define technical direction for AI agents, agentic workflows, and Gen AI application development
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Design robust agent architectures using function calling and MCP to meet product goals
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Build and optimize Python services that integrate models, tools, and orchestration layers
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Establish quality gates to reduce hallucinations and improve response accuracy and reliability
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Drive Responsible AI and compliance practices across the solution lifecycle
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Collaborate with stakeholders to clarify requirements, constraints, and success criteria
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Mentor engineers and set engineering standards for Gen AI assisted development
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Coordinate with data and analytics partners to support experimentation and measurement
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Review system performance and iterate on prompts, tools, and workflows to improve outcomes
Requirements
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7+ years of AI/ML engineering experience with LLM-based applications
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5+ years of leadership experience guiding AI engineers and cross-functional stakeholders
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Strong project delivery skills across multiple concurrent AI initiatives
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Expert LLM expertise including prompt engineering and function calling
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Advanced Python skills for integrating, optimizing, and scaling AI workflows
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Hands-on AI agents development skills using function calling and MCP
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Solid Responsible AI and compliance knowledge including ethical AI best practices
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Strong NLP and Conversational AI development background
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Proven hallucination prevention skills to improve chatbot reliability
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Upper-Intermediate English proficiency (B2)
Nice to have
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AI architecture skills for scalable, maintainable LLM systems
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Chatbot and AI expertise including evaluation and testing strategy for conversational agents
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Context engineering skills to improve grounding, memory, and retrieval quality
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Responsible AI specialization including policy-aligned safety patterns and governance
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
