Senior Engineer Artificial Intelligence

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

Benefits offered by this job

Discretionary incentive

Comprehensive medical coverage

401K plan

Certification & training reimbursement

Vacation & holidays

Job summary

Tata Consultancy Services in Santa Clara, CA is seeking a hands-on engineer to build prototypes, integrations, and solution accelerators using cloud and API technologies, with AI-focused experience.

The role requires 5–7 years of total experience, including 3–5 years in AI, a bachelor’s degree in engineering or computer science, and strong English communication. You will collaborate across teams to translate technical validation into business value and drive customer demonstrations.

Qualifications

• Bachelor’s degree in Engineering or Computer Science.
• Total experience: 5 to 7 years, including 3 to 5 years of AI experience.
• Strong written and spoken English.

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 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.

Skills

Cloud & API tech

Gemini APIs

Vertex AI

Prompt engineering

AI environments

English communication

Cross-functional collaboration

Business value articulation

Education

Bachelor’s degree in Engineering or Computer Science

Tools

Gemini APIs

Vertex AI

Google Cloud

Prompt engineering tools

Job description

Job Description

• 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.

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

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $150,000-$175,000 a year