AI Engineer | Camden Corporate Office (Remote Position)

Job Summary

The AI Engineer is the builder-in-residence for Camden's AI Sandbox, the dedicated environment where we rapidly prototype, evaluate, and de-risk emerging AI capabilities before they enter production. This role exists to move fast: turning business ideas into working proofs-of-concept, -testing new models and tools, and producing the evidence that helps Camden decide what to scale, what to shelve, and what to integrate into core systems.

This is a high-autonomy, high-curiosity role for someone who thrives in ambiguity and enjoys learning new technologies week after week and sharing what they find with others.

Essential Functions

Rapid Prototyping & Experimentation

• Design, develop, and deploy functional prototypes of AI-driven solutions within accelerated timelines, spanning use cases such as document understanding, generative conversational interfaces, agent-based workflows, summarization, enterprise search, and predictive analytics.
• Evaluate new foundation models, frameworks (LangChain, Semantic Kernel, AutoGen, etc.), and AI platforms (Azure AI Foundry, OpenAI, Anthropic, Copilot Studio) for fit against Camden's use cases.
• Maintain a safe, isolated sandbox environment with appropriate guardrails for data, cost, and access.
• This role is expected to evolve over time as organizational needs and priorities change; therefore, the responsibilities outlined above are not all-inclusive.

Evaluation & Measurement

• Define success criteria, benchmarks, and evaluation harnesses for each experiment.
• Produce clear, evidence-based recommendations: what works, what doesn't, what it would cost to scale, and what risks need to be mitigated.
• Document key insights and lessons learned to enable broader team and business stakeholders to effectively leverage and scale these capabilities.

Collaboration & Handoff

• Partner with the Application Development team to harden and transition promising prototypes into production-grade systems.
• Work directly with business stakeholders to understand problems, demo possibilities, and shape demand.
• Contribute to the development and advancement of Camden’s responsible AI practices, with a focus on data privacy, security, bias mitigation, hallucination management, and human-in-the-loop design principles.

Knowledge Sharing

• Run internal demos, lunch-and-learns, and writeups that raise AI literacy across IT and business.
• Stay current on the AI landscape; bring back insights from research, vendor briefings, and the developer community.

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field; equivalent experience considered.
• 3+ years of software engineering or applied ML experience, with at least 1 year hands-on with generative AI / LLM-based systems.
• Strong Python skills; comfort with REST APIs, vector databases, prompt engineering, and retrieval-augmented generation (RAG).
• Experience with at least one major AI platform (Azure OpenAI / Azure AI Foundry, OpenAI, Anthropic, AWS Bedrock).
• Demonstrated ability to ship prototypes quickly and communicate results to non-technical audiences.
• Excellent written and verbal communication skills; ability to translate between technical and business audiences.
• Preferred experience with agent frameworks, multi-agent orchestration, and tool-use patterns.
• Preferred experience with Microsoft Copilot Studio, Power Platform AI Builder, or similar low-code AI tooling.
• Preferred familiarity with MLOps / LLMOps practices (evaluation, observability, cost tracking).
• Preferred background in real estate, property management, or other operations-heavy industries.
• Preferred comfort working without a detailed spec — turning a vague business question into a testable experiment.

And here’s the fine print HR wants you to know:

• Job is intermittently sedentary but requires mobility (i.e., climb stairs)
• Will use some repetitive motion of hand-wrist in using computer and writing
• Works in a typical office setting
• Emotional stability and personal maturity are important attributes in this position
• Must handle stressful, urgent, novel and diverse work situations on a daily basis
• May require long hours and odd schedules (including weekends)
• Position requires periodic travel by automobile to handle work-related activities
• May require airline travel, out-of-town and /or overnight trips 
• Attendance and punctuality is essential for success in this position
• Hazards can be m