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 minimized with proper lifting techniques, SDS, general safety training, and wearing appropriate PPE
- Contact your HR team for the position’s Physical Demands Analysis
This job description is not an all-inclusive list of duties and responsibilities. Camden may add or change responsibilities in order to meet business and organizational needs. Employees must meet qualification standards that are job-related and consistent with business necessity and must be able to perform the essential functions of the position, with or without reasonable accommodations.
To learn more about our awesome Benefits, visit Camden Benefits.
