Senior AI Prototyping & Integrations Engineer

Tata Consultancy Services; Santa Clara (CA); On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

Discretionary incentive

Medical Coverage

Parental leaves

Insurance options

Certification & Training reimbursement

Vacation & holidays

Job summary

Tata Consultancy Services in Santa Clara, CA seeks an experienced AI engineer to build prototypes, integrations, and solution accelerators using cloud and API technologies. The role focuses on Gemini APIs, Vertex AI, and Google Cloud, with 3–5 years of AI experience and a total 5–7 years in engineering.

Excellent English communication is required. You will develop agentic workflows, lightweight integrations for customer scenarios, and translate technical results into business value during deal

Qualifications

• 5 to 7 years total experience, including 3 to 5 years AI experience.
• Bachelor’s degree in Engineering or Computer Science.
• Strong hands-on engineering with prototypes/integrations/accelerators using cloud and API-based tech.
• Experience with Gemini APIs, Vertex AI, Google Cloud, prompt engineering or similar AI environments.
• Ability to develop agentic workflows, lightweight integrations, and multi-modal demos.
• Strong written and spoken English.

Responsibilities

• Build working prototypes, proofs of concept, and multi-modal demonstrations using Gemini APIs, Vertex AI, and Google Cloud.
• Develop agentic workflows and lightweight integrations to validate technical feasibility for customer scenarios.
• Own technical validation across deal cycles by translating Gemini Enterprise capabilities into prototype outcomes.
• Apply prompt engineering and Google Gemini ADK to improve prototype quality and business relevance.
• Translate prototype outcomes into value narratives to support decision-making.

Job description

Tata Consultancy Services in Santa Clara, CA seeks an experienced AI engineer to build prototypes, integrations, and solution accelerators using cloud and API technologies. The role focuses on Gemini APIs, Vertex AI, and Google Cloud, with 3–5 years of AI experience and a total 5–7 years in engineering.

Excellent English communication is required. You will develop agentic workflows, lightweight integrations for customer scenarios, and translate technical results into business value during deal