Solutions Engineer

• Design and implement scalable, resilient cloud and on-premises infrastructure solutions
• Define technical architecture standards, patterns, and best practices across multi-cloud and on-prem environments
• Design and implement scalable, resilient enterprise AI solutions
• Develop comprehensive architectural blueprints for AI systems, including data pipelines, model training and deployment, and integration with existing IT infrastructure.
• Create a strategic plan for how the Camping World’s infrastructure will evolve to meet future AI and ML needs, focusing on scalability, cost-effectiveness, and performance.
• Provide tools recommendation for AI and what direction the company should go with
• Lead infrastructure modernization initiatives and digital transformation projects
• Collaborate with engineering teams to optimize system performance, security, and cost efficiency
• Research and develop standards, and tools for AI usage and implementation
• Meet with vendors and develop solutions that meet the organization requirements
• Meet with application and business units to develop robust infrastructure solutions and AI tools enablement solutions
• Maintain infrastructure solutions technology standards
• Work on infrastructure and AI roadmaps and strategy
• Develop infrastructure and AI architectural blueprints and detailed documentation
• Develop long term IT infrastructure and AI strategies aligned with business needs
• Monitor systems and suggest improvements proactively
• Evaluate and recommend new technologies and tools
• Perform capacity planning and futureproofing
• Work closely with business leaders, project managers, developers, and operations teams
• Translate business requirements into technical solutions
• Provide technical leadership and mentoring to infrastructure teams and application teams
• Develop and maintain technical drawings for infrastructure and AI solutions
• Provide technical guidance and mentorship to data scientists, ML engineers, and other development teams, ensuring they follow architectural best practices.
• Work closely with business and product stakeholders to understand their goals and translate them into a viable, technical AI solutions.
• Communicate complex technical concepts and project progress to both technical and non-technical audiences, including senior leadership
• Implement design and solutions to enable AI enterprise-wide.
• Bridge the gap between research innovation and practical infrastructure and AI implementation
• Partner with product management to align infrastructure capabilities with AI objectives
• Evaluate and recommend emerging technologies for both infrastructure and AI applications
• Work closely with Cyber Security team to make sure security requirements are implemented in all infrastructure and AI solutions.

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