Forward Deployed Engineer (FDE)

Tata Consultancy Services; Milford (OH); On-site; USD 135,000 - 160,000; Full time

Job summary

Tata Consultancy Services is seeking a Forward Deployed Engineer in Milford, Ohio. You will rapidly transform Gemini Enterprise capabilities into tangible prototypes, using Gemini APIs, Vertex AI, and Google Cloud to demonstrate feasibility and drive customer decisions.

You’ll craft lightweight integrations and multi-modal demos while translating technical results into clear business value. You will collaborate cross-functionally, with 2–5 years total experience (1–3 years AI) and a bachelor’s

Qualifications

• 2–5 years total experience with 1–3 years in AI
• Bachelor's degree in Engineering or Computer Science
• Prototyping, integrations, or solution accelerators using cloud/API technologies
• Strong written and spoken English
• Ability to connect technical validation to business value

Responsibilities

• Translate Gemini Enterprise capabilities into working prototypes and proofs of concept
• Build agentic workflows and lightweight integrations for demos
• Create multi-modal demonstrations to validate feasibility and accelerate customer decisions
• Communicate technical validation results in business terms to stakeholders

Skills

Prototype development

Gemini APIs

Prompt engineering

Cross-functional collaboration

English proficiency

AI experience

Education

Bachelor's degree in Engineering or Computer Science

Tools

Google Cloud

Vertex AI

Gemini APIs

Job description

Forward Deployed Engineer (FDE)

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.

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.
• 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 & the ability to convert prototype outcomes into clear value narratives is preferred.

Salary Range: $135,000 - $160,000 per year.

Qualifications

Bachelor of Information Systems.