Eliza
Partner AI Deployment Engineer
United States, Remote. Posted 3 months ago
The role
You will build industry-specific ChatGPT experiences and lead workshops with OpenAI teams and customers. You will work with business executives to identify AI opportunities and translate them into technical demonstrations.
What you will do
- Engage business leaders to understand priorities and identify AI applications
- Translate business problems into AI concepts and technical experiences
- Help qualify opportunities with a view of fit and value
- Build plugins, prototypes, and demonstrations for specific industries
- Lead AI enablement, AI-SDLC, and art-of-the-possible workshops
- Partner with OpenAI teams for customer meetings, events, and programs
- Turn successful ideas into reusable workshop assets, patterns, and playbooks
- Transition qualified delivery work to AI Deployment Managers and Forward Deployed Engineers
Required qualifications
- Strong hands-on experience building AI applications, plugins, agents, or API integrations
- Experience in a customer-facing engineering, solutions architecture, technical consulting, or forward-deployed role
- Ability to establish credibility with business executives while going deep with engineering teams
- Strong product and commercial judgment
- Comfort operating independently and turning ambiguous ideas into working demonstrations
- Willingness to travel for customer workshops, OpenAI events, and in-person programs
Nice to have
- Experience building on the OpenAI platform (e.g., ChatGPT apps and plugins, Assistants, or agent frameworks)
- Experience creating workshop content, technical enablement programs, or one-to-many demonstrations
Benefits
- Competitive compensation
- Equity options in a growing AI services company
- Flexibility to work across industries and problem domains
- A collaborative, mission-driven team
About the company
eliza is a technology services company dedicated to helping organizations build and deploy cutting-edge AI solutions. They work across industries to bring real-world AI applications to life.