Forward Deployed Engineer (FDE)

Tata Consultancy Services; Chennai District; Vor Ort; INR 1.200.000 - 2.400.000; Vollzeit

Zusammenfassung

Tata Consultancy Services seeks experienced AI/ML engineers to design and deliver AI‑powered prototypes and accelerators for enterprise customers. You will build solutions leveraging Gemini APIs, Vertex AI, and Google Cloud, while crafting agentic workflows and multimodal demonstrations.

Collaborate with customers and cross‑functional teams to validate use cases, translate requirements into scalable architectures, and produce rapid PoCs.

Qualifikationen

• Must have strong hands‑on experience in Python programming, API development, 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

Aufgaben

• 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 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

Kenntnisse

Python

API development

Cloud-native apps

GCP

Vertex AI

Gemini APIs

Prompt Engineering

LLM apps

AI workflows

Agentic AI

REST APIs

Microservices

CI/CD

Containerization

Stakeholder communication

Tools

Gemini Enterprise

Vertex AI

CI/CD tooling

Jobbeschreibung

Must Have Technical/Functional Skills

• 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

Preferred Skills (Good to Have)

• Excellent communicator with a consulting mindset articulate, conversant, and able to engage business and technical stakeholders with clarity and confidence.


• Hands‑on experience with Gemini Enterprise, and skilled in Gemini Enterprise for Customer Experience (GECX).

Well versed in the Telecommunications domain (added advantage).

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