Salesforce Chatbot Engineer

NTT DATA Global Delivery Services Ltd; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

NTT DATA in Bangalore, India is seeking a Salesforce Chatbot Engineer to design and deploy Service Cloud solutions and Einstein Bots for enterprise operations.

You will integrate bots with Salesforce data, develop multilingual assistant capabilities, and implement CI/CD, testing, and monitoring to ensure reliable production deployments.

Qualifications

• Five to seven years of Salesforce platform experience with hands-on development.
• 5+ years of Salesforce Service Cloud including Case Management, Knowledge, Omni-Channel, queues.
• Experience designing Einstein Bots or enterprise conversational assistants for large companies.
• Experience with multilingual assistants and channel integrations including WhatsApp.

Responsibilities

• Design, develop, test, deploy Service Cloud solutions and Einstein Bots.
• Build bot-to-agent escalation with Omni-Channel and routing.
• Integrate bots with Salesforce data via Apex, Flow, APIs.
• Develop responsive experiences using Lightning Web Components and Salesforce features.
• Establish CI/CD, automated testing, monitoring, and release documentation.

Skills

Apex

Lightning Web Components

Salesforce Flow

Omni-Channel

REST/SOAP APIs

CI/CD

Dialog design

WhatsApp integration

Education

Salesforce Certifications

Tools

Git

Azure DevOps

Gearset

SonarQube

Checkmarx

Job description

Salesforce Chatbot Engineer NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. We are currently seeking a Salesforce Chatbot Engineer to join our team in Bangalore, Karnataka, India.

Scope of Services

• Design, configure, develop, test, deploy, and enhance Salesforce Service Cloud solutions for enterprise customer-service operations.
• Build Einstein Bots and digital assistants, including dialog design, intents, entities, variables, rules, actions, menus, authentication, contextual responses, and multilingual experiences.
• Implement seamless bot-to-agent escalation using Omni-Channel, skills-based routing, queues, presence, transcripts, pre-chat context, and appropriate service-level controls.
• Integrate bots with Salesforce data and external systems through Apex, Flow, REST/SOAP APIs, Platform Events, middleware, and secure enterprise integration patterns.
• Develop responsive web experiences and supporting components using Lightning Web Components, Apex, Flows, and Salesforce platform capabilities.
• Implement and support digital messaging channels.
• Experience with WhatsApp messaging, routing, templates, consent, session handling, and escalation is preferred.
• Collaborate with service operations, product owners, architects, security, compliance, UX, analytics, and integration teams to translate customer journeys into scalable solutions.
• Establish automated testing, CI/CD, monitoring, security scanning, code-quality controls, release documentation, and production-support practices.
• Analyze containment, transfer, fallback, abandonment, response, and resolution patterns to improve bot effectiveness and customer outcomes.
• Troubleshoot production incidents, perform root-cause analysis, and optimize reliability, performance, scalability, accessibility, and maintainability.

Required Service Cloud and Digital Assistant Experience

• Five to seven years of Salesforce platform experience, including at least four years of hands-on Salesforce development. Strong hands-on Service Cloud experience with Case Management, Knowledge, Omni-Channel, queues, routing, entitlements, milestones, macros, quick text, console applications, and service analytics.
• Demonstrated experience designing and delivering Einstein Bots or comparable enterprise conversational assistants for large companies with complex security, integration, availability, and support requirements.
• Experience developing conversation architecture, dialog flows, intents, entities, utterance handling, disambiguation, fallback strategies, error recovery, escalation, and human handoff.
• Experience grounding chatbot responses in approved enterprise content, Salesforce Knowledge, CRM data, and authenticated back-end transactions while protecting sensitive information.
• Experience with asynchronous and synchronous digital channels such as web chat, in-app messaging, SMS, social or messaging applications, and voice-adjacent service journeys.
• Experience with WhatsApp as a customer-service or chatbot channel is strongly preferred, including knowledge of channel setup, approved templates, opt-in/consent, routing, session boundaries, and operational monitoring.
• Experience designing multilingual and localized assistants, preferably including English plus Spanish and/or Portuguese.
• Understanding of conversational UX, accessibility, plain-language prompts, privacy by design, auditability, responsible AI controls, and regulated-enterprise delivery practices.
• Ability to define and interpret chatbot KPIs, including containment, automation, handoff, fallback, abandonment, customer effort, resolution, and satisfaction measures.

Required Technical Capabilities

• Advanced Apex, Lightning Web Components, Salesforce Flow, triggers, classes, batch/scheduled processing, test automation, and Salesforce data modeling.
• Service Cloud architecture, security, sharing, profiles, permission sets, encryption, monitoring, integration users, and least-privilege access design.
• REST and SOAP APIs, Platform Events, event-driven integration, API-first design, identity and authentication patterns, and resilient error handling.
• Salesforce DX, Git, Azure DevOps, Gearset, SonarQube, Checkmarx, or comparable CI/CD, code-quality, and security tooling.
• Strong technical documentation, communication, estimation, code-review, troubleshooting, and cross-functional collaboration skills.

Preferred Certifications

• Salesforce Certified Service Cloud Consultant
• Salesforce Certified Platform Developer I
• Salesforce Certified Agentforce Specialist
• Salesforce Certified Platform App Builder
• Salesforce Certified Platform Administrator

AI-Assisted Development and Conversational AI Engineering

• Use approved AI-assisted development tools such as GitHub Copilot, Claude Code, or Cursor to accelerate Apex, LWC, Flow, integration, automated-test, chatbot configuration, debugging, refactoring, and documentation work.
• Use AI assistance to evaluate conversation designs, utterance coverage, edge cases, fallback behavior, grounding, response quality, guardrails, and bot-to-agent escalation while retaining human ownership of the customer experience.
• Review all AI-generated or AI-modified code, prompts, configurations, and test assets for correctness, security, privacy, Salesforce limits, accessibility, maintainability, bias, regulatory requirements, and approved enterprise content usage.
• Follow enterprise policies for approved tools, confidential information, customer data, source code, credentials, prompt handling, intellectual property, and responsible AI use.
• Provide peer-review, automated-test, conversation-evaluation, and traceability evidence for AI-assisted production changes.

Expected Deliverables and Outcomes

• Production-ready Service Cloud capabilities and Einstein Bot experiences that satisfy approved requirements and acceptance criteria.
• Documented conversation designs, dialog maps, escalation paths, integration contracts, security decisions, and operational support procedures.
• Secure channel integrations, including WhatsApp where in scope, with routing, consent templates, monitoring, and failure-handling configured.
• Automated tests, deployment packages, pipeline updates, code-quality evidence, and release documentation.
• Dashboards or reporting definitions for bot adoption, containment, handoff, fallback, abandonment, resolution, and customer experience.
• Knowledge transfer, runbooks, incident resolution, and continuous-improvement recommendations for product and support teams.
• Human-reviewed AI-assisted code, chatbot assets, evaluation evidence, and documentation that meet approved quality, security, privacy, and responsible AI standards.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For the EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.