Principal AI Engineer
Listed on 2026-03-10
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Summary
As an AI Agent Integration developer you will be responsible for designing, building, and deploying intelligent AI agents that perform autonomous tasks such as reasoning, planning, decision‑making, and interaction. These agents often leverage large language models (LLMs) and integrate into applications like chatbots, automation tools, or SaaS applications. You will work closely with business users and application teams to develop and deploy AI agents using Enterprise AI tools such as Google Gemini, Dev Rev, and Sierra.
You will also act as a subject‑matter expert and provide guidance, thought leadership, brainstorming, and ideas on how to improve agents, flows to applications, and the data that the AI agents will leverage.
- Design and implement scalable, resilient AI agents that integrate with company data or processes.
- Define processes, standards, and implementation oversight for all AI agent development at Camping World.
- Lead infrastructure modernization initiatives and digital transformation projects using AI agents for various workflows.
- Collaborate with engineering teams to use AI agents to optimize workflows, security, and cost efficiency.
- Research and develop standards and tools for AI agent usage and implementation.
- Meet with vendors and stay knowledgeable on AI agent roadmaps and future products.
- Meet with application and business units to develop robust AI agent solutions.
- Design and build autonomous agents that can perform multi‑step, complex tasks and make decisions independently.
- Develop robust and secure integrations (e.g., APIs, webhooks, or custom connectors) to enable AI agents to connect with and take actions within enterprise systems.
- Create and manage a network of specialized AI agents that work together to solve complex business problems, including designing protocols for communication, information sharing, and task handoff.
- Translate complex business processes into automated, agent‑driven workflows and implement the logic that allows agents to perform those tasks.
- Implement and manage secure authentication and authorization protocols to ensure all agent actions are secure and compliant with enterprise policies.
- Monitor the health and performance of integrations and AI agents, troubleshoot technical issues, optimize workflows, and continuously improve agent behavior.
- Provide support and knowledge on enterprise automation needs and guide teams on automating workflows via AI agents or scripts.
- Master’s or Bachelor’s degree in Information & Computer Science.
- 5+ years of automation and developer coding experience.
- 3+ years of customer service and technical leadership.
- 2+ years of experience in AI tool support.
- 2+ years of agentic AI development.
- 2+ years of AI agent integrations using various tools.
- Strong understanding of AI agent development using tools such as Google Agentspace, Gemini, ChatGPT, and Microsoft CoPilot.
- Strong troubleshooting skills in developing AI agents with various tools.
- Experience implementing and managing AI agents after deployment.
- Experience integrating AI agents with various data sources or SaaS applications.
- Strong proficiency in Python and Java or JavaScript for AI agent development.
- Experience successfully deploying AI agent solutions.
- Solid understanding of core AI and machine‑learning concepts, including NLP, reinforcement learning, and large language models.
- Hands‑on experience with AI/ML libraries and frameworks.
- Experience deploying AI tools and services enterprise‑wide.
- Experience documenting workflows and integrations.
- Experience securing AI agents properly.
- Strong decision‑making and operational skills.
- Excellent verbal and written communication skills.
- Proven track record of AI agent development and solutions.
- Excellent problem‑solving skills using internal and external resources.
- Strong knowledge of application deployment.
- Strong knowledge of various AI tools and their benefits.
- Understanding of public cloud platforms such as AWS, Azure, and GCP.
- Self‑starter, motivator, and ability to work both independently and with a team.
This role offers the unique opportunity to shape company AI strategy and…
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