3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Translate customer use cases and solution designs into technical build plans, working prototypes, demonstrations, pilots, and proof-of-concept solutions.
- Build integrations using Python, Node.js, TypeScript, REST APIs, webhooks, JSON, authentication, and enterprise platforms.
- Configure and develop conversational AI, AI-agent, voice, retrieval-augmented-generation, 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.
- Map data flows, dependencies, events, actions, errors, and human hand-offs, and apply security, privacy, access, observability, testing, and reliability controls.
- Test, instrument, troubleshoot, and measure integrations and AI experiences for accuracy, latency, resilience, usability, adoption, quality, and business outcomes.
- Participate in customer discovery, technical workshops, design reviews, and pilot readouts with customer-facing and cross-functional teams.
- Document reusable integrations, reference architectures, configuration patterns, demonstrations, troubleshooting methods, and implementation lessons.
- Contribute to internal enablement, solution libraries, pre-built assets, and production-readiness efforts.
Requirements
- At least 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 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 learn unfamiliar platforms and read technical documentation quickly.
- Experience working with customers, internal stakeholders, or cross-functional technical teams.
- Preferred experience includes CCaaS, CPaaS, CRM, contact-centre operations, customer-experience technology, Salesforce, ServiceNow, IVR platforms, call-routing systems, knowledge bases, enterprise data platforms, Cisco Webex Customer Experience products, conversational or voice-agent prototypes, cloud platforms, event-driven integrations, OAuth, queues, serverless workflows, observability, automated testing, security controls, and production-readiness practices.
- Strong written and verbal communication, problem-solving, debugging, technical documentation, and reusable-code-asset development skills.
Benefits
- Willingness to travel approximately 15–25%.
- Opportunity to work with global teams and build customer-facing AI solutions at Cisco.
- The posting does not state specific compensation, benefits, or work-arrangement details.
Tech Stack
Categories
Solutions Engineering
About Cisco
Cisco designs and sells networking, security, and collaboration platforms for enterprises, service providers, and governments, spanning routers and switches, Wi‑Fi, firewalls, zero‑trust, observability, and cloud-managed IT (Meraki) plus Webex. Its business model mixes hardware, software subscriptions, and support/consulting services. Founded in 1984 and headquartered in San Jose, California, Cisco is a public company traded on Nasdaq and serves customers across data centers, campuses, and service provider networks.