Sr. Forward Deployed Engineer

About the role

Job Title: Sr. Forward Deployed Engineer

Location: Milford, OH OR Santa Clara, CA (Hybrid)

Job Type: Full Time/Permanent

Experience level required: 4-6years, 10 years, 15 years

Visa:- GC, GC-EAD, USC workable

Job Description:

Gemini Enterprise

Gemini APIs

Vertex AI

Google Cloud Platform (GCP)

Candidates with strong hands-on experience in the above technologies will be given priority.

Position: Sr. Forward Deployed Engineer

Job Description

Must Have 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.

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