Engineer AI/ML

Tata Consultancy Services; Santa Ana (CA); On-site; USD 120,000 - 140,000; Full time

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

Job Description

Must Have Technical/Functional Skills

• Must have strong hands-on experience in Python programming, API development
• Must have strong hands-on experience in Python programming, API development, and cloud-native application development (4 Years Minimum).
• Must have experience building prototypes, solution accelerators, and enterprise integrations using cloud technologies.
• Must have two years’ experience with Google Cloud Platform (GCP), Vertex AI, Gemini APIs, or similar AI platforms.
• Must have experience in Prompt Engineering, LLM application development, and AI solution implementation.
• Must have experience developing Agentic AI workflows, AI agents, and orchestration frameworks.
• Must have experience with REST APIs, microservices, and third-party system integrations.
• Must have experience working with containerization, CI/CD, and production deployment practices.
• Must possess strong stakeholder communication and customer-facing solutioning skills

Roles & 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 business use cases.
• Translate business requirements into scalable technical architectures and solutions.
• Build Proof of Concepts (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

Salary Range: $120,000-$140,000 a year