Note: The job is a remote job and is open to candidates in USA. Camden Property Trust is seeking an AI Engineer to build and prototype AI solutions in their dedicated AI Sandbox. This role focuses on rapid prototyping, evaluation of AI models, and collaboration with stakeholders to transition prototypes into production systems.
Responsibilities
- 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
- 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
- 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
- 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
Skills
- 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
Company Overview