Role: Sr. Forward Deployed Engineer
Location: Milford, OH OR Santa Clara, CA - Onsite
Salary Range: $150,000 - $180,000/Year
Job Description
Must Have Technical/Functional Skills
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: 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.
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.
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.
Generic Managerial Skills:
- 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
Skills: Artificial Intelligence
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