Sr Engineer - Customer Interaction Suite

Tata Communications; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Tata Communications is seeking an AI Platform Tester Forward Deployed Engineer in Bengaluru to validate AI platform capabilities, test AI workers, and ensure end-to-end customer journeys. You will also help develop demos, PoCs, and customer-specific configurations while working closely with Sales, Product, and Engineering teams.

The role requires strong testing fundamentals in AI/ML, APIs, and cloud/SaaS platforms, plus excellent communication skills for customer engagements and workshops.

Qualifications

• QA/Software Testing, Automation Testing, AI/ML Testing experience.
• Experience with API testing and end-to-end workflow validation.
• Customer-facing solution engineering exposure preferred.
• Strong problem-solving and communication skills.

Responsibilities

• Test AI workers, agentic AI workflows, voice and conversational AI, APIs, and integrations.
• Validate complete business workflows, not just components.
• Ensure AI workers understand user intents, access knowledge, and take actions.
• Check error handling, escalation, and edge-case scenarios.
• Develop demo PoCs and customer-specific configurations; support workshops and demos.

Skills

Generative AI

LLMs

Agentic AI

Conversational AI

Voice AI

APIs & Integrations

Python

JavaScript

Databases

Postman

Jira

Cloud / SaaS

Prompt Engineering

Tools

Postman

Jira

Job description

AI Tester Forward Deployed Engineer

Role Overview

We are looking for an AI Platform Tester Forward Deployed Engineer who will combine strong testing and quality-assurance capabilities with hands-on exposure to customer-facing solution engineering.

The role will be responsible for validating AI Platform capabilities, testing AI Workers, conversational workflows, integrations, and end-to-end customer journeys, while gradually taking ownership of demo development, PoCs, and customer-specific solution configurations.

Key Responsibilities

1. AI / Agentic Workflow Validation

• Test AI Workers, Agentic AI workflows, Voice AI, Conversational AI, APIs, integrations, and platform configurations.
• Perform exploratory testing to identify edge cases and unexpected AI behavior.

• Test complete business workflows rather than only individual platform components.

• Validate whether AI Workers correctly understand user intent, access the required knowledge, make decisions, invoke tools, and complete actions.

• Test exception handling, escalation scenarios, hallucination risks, and incorrect inputs.
• Develop test scenarios covering both happy paths and negative/edge cases.
• Help define quality benchmarks for AI-driven customer journeys.

2. Demo PoC Development

• Build basic vertical and horizontal demos using existing platform capabilities.
• Configure AI Workers, prompts, knowledge bases, workflows, tools, and integrations.
• Support creation of customer-specific PoCs
• Convert business requirements into simple technical workflows.
• Configure demo environments and prepare realistic test data.
• Support customer demonstrations by ensuring the demo environment is stable and functional.

3. Customer Field Support

• Participate in customer discovery and technical requirement discussions.
• Understand customer business processes and translate them into AI use cases.
• Support during workshops, PoCs, and executive demonstrations.
• Troubleshoot issues encountered during customer engagements.
• Capture recurring customer requirements and identify opportunities for reusable solutions.

Skills Competencies

Technical

• Basic understanding of Generative AI, LLMs, Agentic AI, Conversational AI, and Voice AI
• Understanding of APIs, JSON, REST APIs, webhooks, and system integrations
• Basic scripting/programming knowledge in Python, JavaScript, or similar
• Understanding of databases and data structures
• Familiarity with Postman or similar API testing tools
• Experience with Jira or equivalent defect/task management tools
• Understanding of cloud and SaaS platforms
• Basic knowledge of prompt engineering and AI evaluation

Testing

• Functional and integration testing
• API testing
• Regression testing
• End-to-end workflow testing
• Exploratory testing
• Test case design
• Root-cause analysis
• Defect lifecycle management
• Negative and edge-case testing

FDE / Customer Skills

• Strong problem-solving ability
• Ability to understand business processes
• Customer-oriented mindset
• Ability to translate business requirements into technical workflows
• Good communication and presentation skills
• Comfortable working in ambiguous and fast-changing environments
• Willingness to work directly with Sales, Product, Engineering, and customers

Experience

Recommended experience: 2-5 years

Suitable backgrounds include:

• QA / Software Testing
• Automation Testing
• AI/ML Testing
• Technical Support / Product Support
• Solution Engineering
• Pre-Sales Engineering
• Implementation / Professional Services
• Conversational AI / Chatbot development
• SaaS platform configuration

Candidates with strong testing fundamentals and 12 years of exposure to AI platforms or customer-facing technology projects would be particularly suitable.