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:

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Senior Engineer Artificial Intelligence