Corporate- AI Engineer
Ocean State Job Lot, Farmington Hills, MI, United States
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 toDesign 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
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
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 reliabilityEnsure adherence to responsible AI, data governance, and security standards
Document architecture, workflows, and usage guidelines
Perform other duties and projects, as assigned
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
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
Weare 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 Offand holidays
Flexible spending account
401K with company match
Working Conditions
Corporate, Hybrid or Remote working environment.
#J-18808-Ljbffr
We are presently seeking an AI Engineer toDesign 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
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
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 reliabilityEnsure adherence to responsible AI, data governance, and security standards
Document architecture, workflows, and usage guidelines
Perform other duties and projects, as assigned
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
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
Weare 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 Offand holidays
Flexible spending account
401K with company match
Working Conditions
Corporate, Hybrid or Remote working environment.
#J-18808-Ljbffr