Forward Deployed Software Engineer – Manager
PwC
PythonTypeScript
AI Integration Developer
Camping World
full-time
Posted on:
Location Type: Office
Location: Chicago • Illinois • 🇺🇸 United States
Visit company websiteSalary
💰 $158,655 - $231,420 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformJavaJavaScriptPython
About the role
- As an AI Agent Integration developer you will be responsible for designs, builds, 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 be responsible in working closely with business users and application teams in developing and deploying AI agents using Enterprise AI tools such as Google Gemini, OpenAI ChatGPT or Microsoft CoPilot.
- You will also act as a subject matter expert and provide guidance, thought leadership, brainstorming and ideas on how to improve and make agents better or improve flows to applications and data that the AI agent 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 AI agents that can perform multi-step, complex tasks and make decisions independently.
- Developing robust and secure integrations (e.g., APIs, webhooks, or custom connectors) to enable AI agents to connect with and take actions within enterprise systems
- Creating and managing a network of specialized AI agents that work together to solve complex business problems. This involves designing protocols for agents to communicate, share information, and hand off tasks seamlessly
- Workflow Automation in translating complex business processes into automated, agent-driven workflows and implementing the logic that allows agents to perform those tasks
- Implementing and managing secure authentication and authorization protocols to ensure all agent actions are secure and compliant with enterprise security policies.
- Monitoring the health and performance of integrations and AI agents. This includes troubleshooting technical issues, optimizing workflows for speed and reliability, and continuously improving the agents' behavior through feedback from the business or users using the agent
- Provide support and knowledge on enterprise automation needs and help guide teams on how to automate some of the workflows via AI agents or possibly scripts and code.
Requirements
- Masters/bachelor’s degree in information & computer science
- 5+ years of previous automation and developer coding experience
- 3+ years of Customer Service and Technical Leadership
- 2+ years of experience in AI tool and support
- 2+ years of Agentic AI development
- 2+ years of Agent AI 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 development of AI agents using various tools
- Strong experience in implementing and managing AI agents once they are deployed
- Experience in integrations using AI Agents, knowing how to connect to various data sources or SaaS applications
- Strong proficiency in languages like Python as well as Java or JavaScript for Agent AI development.
- Experience in successfully deploying AI Agent solutions
- A solid understanding of core AI and machine learning concepts, including natural language processing (NLP), reinforcement learning, and the use of large language models (LLMs).
- Hands-on experience with AI/ML libraries and frameworks
- Experience in deploying AI tools and services Enterprise wide
- Experience in documenting workflows and how integrations work
- Experience in securing AI Agents properly
- Strong decision making and operational skill.
- Excellent verbal and written communication skills
- Proven track record of AI agent development and solutions using AI Agents
- Have excellent problem-solving skills utilizing both internal and external resources to get the job done.
- Strong knowledge of how applications work and are deployed
- Strong knowledge of various AI tools and what benefits they provide
- Understanding of public cloud platforms such as AWS, Azure and GCP
- Self-starter and motivator and ability to work in team and solo.
Benefits
- Paid Time Off
- 401(k)
- Employee Assistance Program
- Good Sam Roadside Assistance
- Discounts
- Paid parental leave (if eligibility is met)
- Tuition Reimbursement (if eligibility is met)
- On the job training opportunities
- Comprehensive benefits package including medical, dental, vision and more!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI Agent developmentPythonJavaJavaScriptnatural language processing (NLP)reinforcement learninglarge language models (LLMs)API integrationsworkflow automationenterprise automation
Soft skills
troubleshootingdecision makingoperational skillsverbal communicationwritten communicationproblem-solvingleadershipcollaborationself-startermotivation
Certifications
Masters degree in information & computer scienceBachelor's degree in information & computer science
