Sr. Forward Deployed Engineer

Ventures Unlimited Inc; Milford (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

Ventures Unlimited Inc in Milford, OH onsite is seeking an AI/ML engineer to join our full-time team. The role emphasizes building prototypes, integrations, and solution accelerators using cloud and API-based technologies.

Must have 5–7 years total experience, including 3–5 years in AI, with strong English and a Bachelor's degree in Engineering or Computer Science. Preferred: Google Professional ML Engineer, experience with Gemini APIs, Vertex AI, and multi-modal demonstrations for customer

Qualifications

• Strong hands-on engineering skills with 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.

Skills

Cloud & API integrations

Gemini APIs

Vertex AI

Prompt engineering

Agentic workflows

Cross-functional collaboration

Business value communication

Education

Bachelor’s degree in Engineering or Computer Science

Tools

Google Cloud

Gemini API framework

Vertex AI

Job description

Location:- Santa Clara, CA or Milford, OH / OWING MILLS MD – Onsite ,

Duration:- Full Time Position,

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.


• Applied analytics experience and the ability to convert prototype outcomes into clear value narratives are preferred.


• 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


• Customer-centric thinking with focus on business value and outcome alignment


• Adaptability to work in pilot, evolving, or high-visibility engagement models