Technical Architect Artificial Intelligence

Tata Consultancy Services; Santa Clara (CA); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Annual incentive

Medical coverage

Parental leave

401K plan

Training reimbursement

Vacation & holidays

Legal assistance

Job summary

Tata Consultancy Services in Santa Clara, CA seeks an AI Solutions Engineer to build prototypes and demos using Gemini APIs and Vertex AI on Google Cloud. You will translate technical validation into business value for customer engagements and drive rapid prototyping and demonstrations.

The role requires 5–7 years of experience including 3–5 years in AI, strong English communication, and a bachelor’s degree in engineering or computer science.

Qualifications

• Strong hands-on engineering skills building prototypes and integrations.
• Experience with Gemini APIs, Vertex AI, and Google Cloud.
• Excellent written and spoken English.

Responsibilities

• Build working prototypes and multi-modal demonstrations using Gemini APIs and Google Cloud.
• Develop agentic workflows and lightweight integrations for customer scenarios.
• Own technical validation across deal cycles translating capabilities into deployable outcomes.
• Apply prompt engineering to improve prototype quality and business relevance.

Skills

Cloud API integrations

Gemini APIs

Vertex AI

Prompt engineering

AI demos

English communication

Education

Bachelor’s degree in Engineering or Computer Science

Job description

Job Description

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.

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.
• 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-$180,000 a year