• Lead customer onboarding, technical enablement sessions, workshops, and training programs for AI tool adoption.
• Act as the primary technical contact for enterprise customers throughout their AI adoption journey.
• Understand customer challenges and translate business requirements into practical AI workflows and best practices.
• Provide technical guidance and real-time troubleshooting support during implementation and adoption phases.
• Support pilot programs, custom configurations, integrations, and proof-of-concept initiatives.
• Collaborate with product and engineering teams by providing customer feedback and identifying improvement opportunities.
• Develop documentation, best practices, and knowledge-sharing materials to help customers become self-sufficient.
• Advise customers on AI-assisted development, software engineering workflows, and enterprise adoption strategies.
• Work closely with technical and business stakeholders to drive successful outcomes and maximize customer value.
• Support system design discussions and technical solutioning during later phases of customer engagements.
• Stay current with emerging AI technologies, developer tools, and enterprise AI adoption trends.

Requirements

• 15+ years of experience in software engineering, solution architecture, technical consulting, customer engineering, or AI enablement roles.
• Architect-level expertise with the ability to solve complex technical and business challenges.
• Strong experience working with large-scale enterprise systems and distributed architectures.
• Experience working with multinational organizations and enterprise customers.
• Strong understanding of AI tools, AI-assisted development, and modern software engineering practices.
• Proficiency in at least one programming language such as Python, Java, or .NET.
• Experience working with APIs, integrations, and enterprise software platforms.
• Ability to explain complex technical and AI concepts to both technical and non-technical stakeholders.
• Excellent communication, presentation, and stakeholder management skills.
• Willingness to travel as required.

Nice to Have

• Experience with Large Language Models (LLMs) and prompt engineering.
• Exposure to Generative AI platforms and AI development frameworks.
• Experience with enterprise SaaS products.
• Background in solution engineering, consulting, developer advocacy, or customer success.
• Experience delivering technical workshops, training programs, or developer enablement initiatives.