AI Integration Engineer_LLMs, APIs & Cloud Platforms_XP: 6+_Bengaluru

Tata Consultancy Services; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Tata Consultancy Services is seeking an AI Integration Engineer to design, build, and support enterprise AI solutions by integrating LLMs, APIs, data platforms, and cloud services. The role requires strong Java development skills and hands-on experience with AI integrations.

You will design integrations between AI/LLM platforms and corporate applications, develop Java-based APIs and microservices, build data connectors and pipelines, and ensure secure, scalable operation across deployments.

Qualifications

• Proven experience designing and building AI integrations for enterprise systems.
• Strong Java development skills and API/microservices experience.
• Expertise in integrating LLMs, data platforms, and cloud services.

Responsibilities

• Design and implement integrations between AI/LLM platforms and enterprise applications.
• Develop Java-based APIs, microservices, and integration services.
• Build data connectors, transformation pipelines, and integration solutions.
• Support deployment, monitoring, and lifecycle management of AI-enabled solutions.
• Ensure security, scalability, reliability, and performance of enterprise integrations.
• Collaborate with business, engineering, data, security, and operations teams to deliver AI solutions.
• Troubleshoot production issues and drive root‑cause analysis and resolution.
• Create technical documentation, deployment plans, and operational runbooks.

Skills

Generative AI

Large Language Models

Java

REST APIs

Microservices

AI Integration

Cloud Computing

Data Integration

Job description

AI Integration Engineer | LLM & APIs

Job Description

We are seeking an AI Integration Engineer to design, build, and support enterprise AI solutions by integrating LLMs, APIs, data platforms, and cloud services. The role requires strong Java development skills, experience with AI integrations, and expertise in building scalable, secure, and reliable enterprise solutions.

Key Skills

• Generative AI
• Large Language Models (LLM)
• Java
• REST APIs
• Microservices
• AI Integration
• Cloud Computing
• Data Integration

Key Responsibilities

• Design and implement integrations between AI/LLM platforms and enterprise applications.
• Develop Java-based APIs, microservices, and integration services.
• Build data connectors, transformation pipelines, and integration solutions.
• Support deployment, monitoring, and lifecycle management of AI-enabled solutions.
• Ensure security, scalability, reliability, and performance of enterprise integrations.
• Collaborate with business, engineering, data, security, and operations teams to deliver AI solutions.
• Troubleshoot production issues and drive root‑cause analysis and resolution.
• Create technical documentation, deployment plans, and operational runbooks.