AI CX Solutions Consultant - 5+yrs - AI tools, Python/Node.js

123 Cisco Systems (India) Private Limited; Bengaluru; Presencial; INR 1.500.000 - 2.500.000; Jornada completa

Descripción de la vacante

Cisco Webex Customer Experience is seeking an AI Solutions Consultant to turn customer requirements into practical AI-enabled solutions. You will build demonstrations, prototypes, and repeatable use cases by integrating Python/Node.js/TypeScript with REST APIs, webhooks, and enterprise platforms.

You will connect AI experiences to Salesforce, ServiceNow, and CRM systems while ensuring security, reliability, and measurable business outcomes.

Formación

• 5+ years building software, integrations, or enterprise technology solutions.
• Hands-on with Python, Node.js, or TypeScript.
• Experience with APIs, webhooks, authentication, data transformation.
• Familiar with Git, debugging, testing, logging.
• Familiar with at least one major LLM ecosystem or AI dev framework.
• Understanding of conversational AI, prompt design, retrieval-augmented generation, or workflow automation.
• Ability to read technical documentation and learn unfamiliar platforms quickly.
• Experience with customers or cross-functional teams.
• Willingness to travel 15–25%.

Responsabilidades

• Translate customer use cases into technical build plans and working prototypes.
• Build integrations using Python, Node.js, TypeScript, REST APIs, webhooks, JSON, authentication, and enterprise platforms.
• Configure and develop conversational AI and workflow experiences using Webex AI capabilities and Webex AI Agent Studio.
• Connect AI experiences to Salesforce, ServiceNow, CRM platforms, contact-centre systems, knowledge sources, and enterprise APIs.
• Develop use cases involving AI agents, voice experiences, retrieval-augmented generation, workflow automation, and real-time analytics where appropriate.
• Create customer demonstrations, technical prototypes, pilots, and proof-of-concept solutions.
• Map data flows, system dependencies, events, actions, error conditions, and human hand-offs.
• Apply practical controls for security, privacy, access, observability, testing, and operational reliability.
• Test integrations and AI experiences for accuracy, latency, resilience, usability, and appropriate escalation.
• Instrument solutions so customer and internal teams can measure usage, quality, adoption, and business outcomes.
• Troubleshoot integration, configuration, data, and AI behaviour issues with support from senior engineers and product teams.
• Participate in customer discovery sessions, technical workshops, design reviews, and pilot readouts.
• Work with AI Solution Consultants and FDEs to refine requirements and prepare solutions for production deployment.
• Capture product gaps and implementation lessons with clear technical detail and customer impact.
• Document reusable integrations, configuration patterns, use cases, demonstrations, and troubleshooting methods.
• Contribute to internal enablement, solution libraries, reference architectures, and pre-built assets.

Conocimientos

Python

Node.js

TypeScript

APIs

Webhooks

Git

Debugging

Testing

LLM ecosystem

Prompt design

Workflow automation

Communication skills

Travel readiness

Herramientas

Git

Salesforce

ServiceNow

Webex AI Agent Studio

OAuth

Descripción del empleo

About the team: Cisco Webex Customer Experience is building Connected Intelligence: an operating model that brings customer interactions, human and AI agents, workflows, and enterprise systems together. It is organised around four pillars: an intelligent front door, context-driven orchestration, an extensible AI-native platform, and trust and security by design.

As an AI Solutions Consultant, you will help make this approach real through working demonstrations, customer prototypes, integrations, and repeatable use cases. You will work alongside AI Solution Consultants, Forward Deployed Engineers, account teams, partners, product managers, and engineering teams. You will translate customer requirements into practical technical solutions using APIs, webhooks, enterprise systems, AI Agent Studio, and modern AI application-development practices. You will help move ideas from concept to validated use case, while building the technical depth required to support production deployments over time. You will deliver three outcomes from each engagement: a working solution, evidence that the use case creates customer value, and a reusable implementation pattern.

Responsibilities

• Translate customer use cases and solution designs into technical build plans and working prototypes.
• Build integrations using Python, Node.js, TypeScript, REST APIs, webhooks, JSON, authentication, and enterprise platforms.
• Configure and develop conversational AI and workflow experiences using Webex AI capabilities and Webex AI Agent Studio.
• Connect AI experiences to Salesforce, ServiceNow, CRM platforms, contact-centre systems, knowledge sources, and enterprise APIs.
• Develop use cases involving AI agents, voice experiences, retrieval-augmented generation, workflow automation, and real-time analytics where appropriate.
• Create customer demonstrations, technical prototypes, pilots, and proof-of-concept solutions.
• Map data flows, system dependencies, events, actions, error conditions, and human hand-offs.
• Apply practical controls for security, privacy, access, observability, testing, and operational reliability.
• Test integrations and AI experiences for accuracy, latency, resilience, usability, and appropriate escalation.
• Instrument solutions so customer and internal teams can measure usage, quality, adoption, and business outcomes.
• Troubleshoot integration, configuration, data, and AI behaviour issues with support from senior engineers and product teams.
• Participate in customer discovery sessions, technical workshops, design reviews, and pilot readouts.
• Work with AI Solution Consultants and FDEs to refine requirements and prepare solutions for production deployment.
• Capture product gaps and implementation lessons with clear technical detail and customer impact.
• Document reusable integrations, configuration patterns, use cases, demonstrations, and troubleshooting methods.
• Contribute to internal enablement, solution libraries, reference architectures, and pre-built assets.

Qualifications

• 5+ years of experience building software, integrations, automation, or enterprise technology solutions; demonstrated technical ability may substitute for tenure.
• Hands-on experience with Python, Node.js, TypeScript, or a comparable programming language.
• Experience working with APIs, webhooks, authentication, data transformation, and system integrations.
• Familiarity with Git, debugging, testing, logging, and basic software-development practices.
• Familiarity with at least one major LLM ecosystem or AI application-development framework.
• Understanding of conversational AI, prompt design, retrieval-augmented generation, agents, or workflow automation.
• Ability to read technical documentation and learn unfamiliar platforms quickly.
• Experience working with customers, internal stakeholders, or cross-functional technical teams.
• Strong written and verbal communication skills.
• Willingness to travel approximately 15 to 25 percent.

Preferred Qualifications

• Experience with CCaaS, CPaaS, CRM, contact-centre operations, or customer-experience technology.
• Experience with Salesforce, ServiceNow, IVR platforms, call-routing systems, knowledge bases, or enterprise data platforms.
• Familiarity with Cisco Webex Customer Experience products and services.
• Experience building conversational or voice-agent prototypes.
• Experience with cloud platforms, event-driven integrations, OAuth, queues, or serverless workflows.
• Familiarity with observability, automated testing, security controls, and production-readiness practices.
• Experience creating technical documentation, implementation guides, demonstrations, or reusable code assets.

Skills and Attributes

• Builder mindset with a bias towards creating working software.
• Able to turn an ambiguous requirement into a clear technical next step.
• Comfortable learning by doing and working across unfamiliar systems.
• Strong problem-solving and debugging skills.
• Understands the difference between a convincing demo and a dependable solution.
• Takes ownership while knowing when to involve senior engineers, FDEs, or product teams.
• Communicates technical issues clearly and directly.
• Pays attention to detail across data, configuration, testing, and user experience.
• Interested in both the customer problem and the technical implementation.
• Collaborative, curious, pragmatic, and committed to continuous learning.

Why Cisco?

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.