AI and Data Engineer; DC Area

About Reingold

Reingold is a full‑service marketing and creative firm in Alexandria, VA. For more than 40 years, we've been driven by a simple mission: to help organizations - whether in the government, nonprofit, or business sector - as they strive to make the world a better place. We hire top‑notch talent to develop and launch compelling, inventive communications campaigns, leveraging the latest technology and digital media strategies that enable our clients to meet their audiences where they are.

We're proud to say we've built a team of curious, passionate pros - from marketers and tech wizards to designers and strategists - who love what they do and bring their A‑game every day. We take our work seriously, but not ourselves. We believe great ideas come from collaboration, humor, and a little bit of fun along the way.

When you work at Reingold, you get more than a job, you get a community. We offer competitive salaries, a comprehensive benefits package, a dynamic hybrid work environment, a vibrant workplace and growth opportunities in a variety of specialty areas. That means when we find great people (and they find us), they stick around for the long term.

That's where you come in. We're looking for someone with real‑world experience in cloud engineering and the confidence to work independently on core infrastructure tasks. You don't need to be a domain expert, but you should be hungry to learn, comfortable navigating unfamiliar systems, and confident in your ability to figure things out. At Reingold, Google Cloud engineering isn't just a support function;

it's a key part of how we deliver innovative, AI‑powered solutions for our clients. You'll use a code‑first approach to build and manage Google Cloud infrastructure for advanced conversational AI applications, working with cross‑functional teams to build systems that are secure, scalable, and repeatable. You'll also implement robust CI/CD pipelines for deploying applications, and leverage Google Cloud's suite to help teams own their services in production, spot issues early, and fix them fast.

This is a hybrid role, requiring at least two days per week on site at Reingold's headquarters in Alexandria, VA, or our office Raleigh, NC.

• Design, build, and maintain conversational AI solutions using cloud services (e.g., Google Cloud Vertex AI, AWS Bedrock, Azure Cognitive Services) and chatbot frameworks such as Dialogflow CX, integrating them with relevant data sources.
• Research and identify opportunities for AI integration in both internal processes and client‑facing products; evaluate model performance and recommend improvements based on data analysis.
• Design and prototype AI‑powered tools and workflows using Python and libraries such as Hugging Face Transformers, Lang Chain, or OpenAI APIs, including fine‑tuning or customizing existing models for specific business needs.
• Collaborate with development teams to integrate, manage, and secure a suite of cloud APIs and services (e.g., search/discovery engines, object storage, and large‑scale data analytics platforms) to ensure efficient data flow.
• Develop and manage API proxies, security policies, and integration pipelines between backend services and client‑facing applications.
• Maintain documentation for scripts, workflows, integrations, and proof‑of‑concept applications aligned with operational standards.
• Stay current with emerging AI/ML frameworks, APIs, and techniques in cloud and AI ecosystems.
• Perform ad hoc technical tasks as needed, based on evolving priorities and your skills.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change, or new ones may be assigned at any time.

• Active Public Trust clearance or ability to obtain one.
• Bachelor's degree in computer science, engineering, web development, data science, or a related field - or equivalent formal training in AI/ML or software engineering…