Job Description
Forward Deployed Engineer (FDE)
Role Purpose
Hands-on engineer who rapidly translates Gemini Enterprise capabilities into working prototypes and deal-specific proof points, owning the technical validation. Builds agentic workflows, lightweight integrations, and multi-modal demonstrations using Gemini APIs, Vertex AI, and Google Cloud to validate feasibility and accelerate customer decisions. Combines strong prompt engineering and Google Gemini ADK with applied analytics, translating prototype outcomes into value narratives.
Hiring Context
This is a pilot hire under the hub-and-spoke model to provide centralized backend prototyping and technical enablement support, subject to approval and candidate availability.
Key Responsibilities
- Build working prototypes, proof points, and multi-modal demonstrations using Gemini APIs, Vertex AI, and Google Cloud.
- Develop agentic workflows and lightweight integrations to validate technical feasibility for customer-specific scenarios.
- Own technical validation across deal cycles by rapidly translating Gemini Enterprise capabilities into deployable prototype outcomes.
- Apply prompt engineering and Google Gemini ADK to improve prototype quality, usability, and business relevance.
- Translate prototype outcomes into value narratives that support decision-making and accelerate customer progression.
Must-Have Skills and Experience
- Strong hands-on engineering skills with experience building prototypes, integrations, or solution accelerators using cloud and API-based technologies.
- Experience with Gemini APIs, Vertex AI, Google Cloud, prompt engineering, or similar AI application environments.
- Ability to develop agentic workflows, lightweight integrations, and multi-modal demonstrations for customer or partner scenarios.
- Strong communication and cross-functional collaboration skills with the ability to connect technical validation to business value.
- Total experience: 2 to 5 years, including 1 to 3 years of AI experience, with strong written and spoken English.
- Bachelors degree in Engineering or Computer Science.
Preferred Skills
- Google Professional ML Engineer certification is preferred.
- Gemini Enterprise Partner Certification preferred.
- Google Associate Cloud Engineer certification preferred.
- Applied analytics experience and the ability to convert prototype outcomes into clear value narratives are preferred.