Sr. Forward Deployed Engineer (Gemini AI)

Job title:                                            Sr. Forward Deployed Engineer (Gemini AI)

Job Location:                                   Milford, OH OR Santa Clara, CA

Job Type:                                          Fulltime

Roles & 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.
• Strong stakeholder management and cross-functional collaboration
• Ability to understand customer requirements and translate them into actionable technical outcomes
• Clear communication of technical concepts to business and non-technical stakeholders
• Ownership mindset with accountability for delivery, timelines, and quality
• Problem-solving ability in ambiguous or fast-moving environments
• Prioritization skills to manage multiple prototypes, demos, or validation requests
• Ability to influence teams without direct authority
• Strong documentation and reporting discipline
• Customer-centric thinking with focus on business value and outcome alignment
• Adaptability to work in pilot, evolving, or high-visibility engagement models

Technical/Functional Skills

• 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: 5 to 7 years, including 3 to 5 years of AI experience, with strong written and spoken English.
• Bachelor’s degree in Engineering or Computer Science.
• 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.