AI/ML Engineer – Prototyping, Cloud & Agentic AI

Tata Consultancy Services

Santa Ana (CA)

On-site

USD 120,000 - 140,000

Full time

12 hours ago
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Job summary

Tata Consultancy Services is seeking an experienced AI/ML Solutions Engineer to design and develop AI-powered prototypes and customer-facing solutions on Google Cloud, Vertex AI, and Gemini APIs. You will build agentic workflows and AI assistants, collaborating with customers and cross-functional teams to validate use cases.

The role requires strong Python, API, cloud-native development, and experience with CI/CD, containerization, and production deployment practices.

Qualifications

  • Strong hands-on Python programming and API development experience.
  • Experience with cloud-native app development (4+ years).
  • Experience building prototypes, accelerators, and enterprise integrations using cloud technologies.

Responsibilities

  • Design and develop AI-powered prototypes, accelerators, and customer-facing solutions.
  • Build and integrate applications using Gemini APIs, Vertex AI, and Google Cloud services.
  • Develop agentic workflows, AI assistants, and multimodal solution demonstrations.
  • Collaborate with customers, partners, and cross-functional teams to validate use cases.
  • Translate business requirements into scalable technical architectures and solutions.
  • Build PoCs and demonstrate business value through rapid prototyping.
  • Support deployment, optimization, and troubleshooting of AI solutions in cloud environments.
  • Stay current with emerging AI technologies and apply them to customer scenarios.

Skills

Python programming
API development
Cloud-native development
Google Cloud Platform
Vertex AI
Gemini APIs
AI/LLM workflows
Agentic AI
REST APIs
Microservices
CI/CD
Containerization
Stakeholder communication

Job description

Tata Consultancy Services is seeking an experienced AI/ML Solutions Engineer to design and develop AI-powered prototypes and customer-facing solutions on Google Cloud, Vertex AI, and Gemini APIs. You will build agentic workflows and AI assistants, collaborating with customers and cross-functional teams to validate use cases.

The role requires strong Python, API, cloud-native development, and experience with CI/CD, containerization, and production deployment practices.

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