AI Engineer | Camden Corporate Office (Remote Position)
Auto Import<p><strong><u>Job Summary</u></strong></p><p>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.</p><p>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.</p><p><strong><u>Essential Functions</u></strong></p><p><strong>Rapid Prototyping & Experimentation</strong></p><ul style="list-style-type: disc; padding-left: 48px;"><li>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.</li><li>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.</li><li>Maintain a safe, isolated sandbox environment with appropriate guardrails for data, cost, and access.</li><li>This role is expected to evolve over time as organizational needs and priorities change; therefore, the responsibilities outlined above are not all-inclusive.</li></ul><p> </p><p><strong>Evaluation & Measurement</strong></p><ul style="list-style-type: disc; padding-left: 48px;"><li>Define success criteria, benchmarks, and evaluation harnesses for each experiment.</li><li>Produce clear, evidence-based recommendations: what works, what doesn't, what it would cost to scale, and what risks need to be mitigated.</li><li>Document key insights and lessons learned to enable broader team and business stakeholders to effectively leverage and scale these capabilities.</li></ul><p> </p><p><strong>Collaboration & Handoff</strong></p><ul style="list-style-type: disc; padding-left: 48px;"><li>Partner with the Application Development team to harden and transition promising prototypes into production-grade systems.</li><li>Work directly with business stakeholders to understand problems, demo possibilities, and shape demand.</li><li>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.</li></ul><p> </p><p><strong>Knowledge Sharing</strong></p><ul style="list-style-type: disc;"><li>Run internal demos, lunch-and-learns, and writeups that raise AI literacy across IT and business.</li><li>Stay current on the AI landscape; bring back insights from research, vendor briefings, and the developer community.</li></ul><p> </p><p><strong><u>Requirements</u></strong></p><ul style="list-style-type: disc; padding-left: 48px;"><li>Bachelor's degree in Computer Science, Data Science, Engineering, or related field; equivalent experience considered.</li><li>3+ years of software engineering or applied ML experience, with at least 1 year hands-on with generative AI / LLM-based systems.</li><li>Strong Python skills; comfort with REST APIs, vector databases, prompt engineering, and retrieval-augmented generation (RAG).</li><li>Experience with at least one major AI platform (Azure OpenAI / Azure AI Foundry, OpenAI, Anthropic, AWS Bedrock).</li><li>Demonstrated ability to ship prototypes quickly and communicate results to non-technical audiences.</li><li>Excellent written and verbal communication skills; ability to translate between technical and business audiences.</li><li>Preferred experience with agent frameworks, multi-agent orchestration, and tool-use patterns.</li><li>Preferred experience with Microsoft Copilot Studio, Power Platform AI Builder, or similar low-code AI tooling.</li><li>Preferred familiarity with MLOps / LLMOps practices (evaluation, observability, cost tracking).</li><li>Preferred background in real estate, property management, or other operations-heavy industries.</li><li>Preferred comfort working without a detailed spec — turning a vague business question into a testable experiment.</li></ul><p> </p><p><strong><u>And here’s the fine print HR wants you to know:</u></strong></p><ul style="list-style-type: disc; padding-left: 48px;"><li>Job is intermittently sedentary but requires mobility (i.e., climb stairs)</li><li>Will use some repetitive motion of hand-wrist in using computer and writing</li><li>Works in a typical office setting</li><li>Emotional stability and personal maturity are important attributes in this position</li><li>Must handle stressful, urgent, novel and diverse work situations on a daily basis</li><li>May require long hours and odd schedules (including weekends)</li><li>Position requires periodic travel by automobile to handle work-related activities</li><li>May require airline travel, out-of-town and /or overnight trips </li><li>Attendance and punctuality is essential for success in this position</li><li>Hazards can be minimized with proper lifting techniques, SDS, general safety training, and wearing appropriate PPE</li><li>Contact your HR team for the position’s Physical Demands Analysis</li></ul><p> </p><p>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.</p><p>To learn more about our awesome Benefits, visit <a target="_blank" rel="noopener noreferrer" href="https://www.camdenliving.com/benefits">Camden Benefits</a>.</p>