Corporate- AI Engineer

Job Description

Who is RHP Properties?

Headquartered in Farmington Hills, Michigan, RHP Properties is the nation's largest private owner and operator of manufactured home communities. With more than 380 communities throughout 33 states, we continue to expand our footprint to provide accessible and affordable housing across the country. All of this would not be possible without the energy and drive of our talented employees! We invest in our employees, with regular training, opportunities for advancement, and fun events to bring everyone together.

We are presently seeking an AI Engineer to Design and deliver production-grade AI solutions — including intelligent agents, copilots, predictive models, and automation workflows — while driving AI strategy, adoption, and enablement across the enterprise.

In this role, you will:

AI Solution Development

• Design, build and deploy AI agents and copilots (chat, voice, email, workflow, automation)
• Develop LLM-powered applications using modern frameworks (e.g., LangChain, Semantic Kernel)
• Implement RAG architectures using vector databases and enterprise data sources
• Build predictive models for forecasting, anomaly detection, and optimization
• Integrate AI systems with APIs, databases, and enterprise platforms

AI Strategy & Innovation

• Help define and evolve RHP’s AI roadmap and use-case prioritization
• Identify high-impact opportunities for automation and AI-driven transformation
• Stay current with the lates advancements in LLMs, agentic AI, MCP, RAG and automation ecosystems
• Evaluate emerging tools, frameworks, and vendors for enterprise adoption

AI Evangelism & Coaching

• Educate and mentor teams on how to effectively use AI in their workflows
• Conduct workshops, demos, and AI office hours
• Enable teams to move from manual processes ? AI-augmented workflows
• Act as a go-to internal expert for AI-related initiatives

Communication & Business Translation

• Translate complex AI concepts into clear, actionable business insights
• Communicate effectively with both technical and non-technical stakeholders
• Bridge the gap between business teams, data, and IT

Change Leadership

• Act as a change agent driving adoption of AI across the organization
• Help teams reimagine workflows using AI, not just optimize existing ones
• Influence stakeholders and build alignment around AI initiatives

Deployment, Governance & Reliability

• Deploy and operationalize AI systems in production environments
• Monitor performance, accuracy, cost, and reliability
• Ensure adherence to responsible AI, data governance, and security standards
• Document architecture, workflows, and usage guidelines
• Perform other duties and projects, as assigned

Job Requirements

• 2–4+ years in Applied AI, Data Science, or AI Engineering
• Proven experience building and deploying real-world AI or automation solutions
• Demonstrated ability to take solutions from concept to production
• Portfolio or examples of AI systems (agents, copilots, automation tools) preferred
• Strong Python programming (AI/ML, automation, APIs) experience
• Experience building real-world AI applications or automation systems
• Hands-on experience with LLMs and prompt engineering
• Familiarity with:
• Agent-based systems and orchestration frameworks
• RAG architectures and vector databases
• MCP (Model Context Protocol) or similar emerging paradigms
• Strong SQL and data manipulation skills
• Experience with API integrations
• Understanding of machine learning fundamentals
• Experience with platforms such as OpenAI, Anthropic, or similar
• Excellent internal and external customer service skills
• Extremely detailed oriented individual with high quality standards
• Ability to multitask and be a team player in a fast-paced environment

We are Proud to Provide the following:

• Access to benefits including medical, dental and vision insurance
• Short-term and long-term disability
• Life insurance
• Generous Paid Time Off and holidays
• Flexible spending account
• 401K with company match

Working Conditions

Corporate, Hybrid or Remote working environment.