Top Tech Jobs & Startup Jobs in Delhi

Leads enterprise agentic AI architecture, including multi-agent orchestration, RAG, memory, evaluation, guardrails, security, governance, and integrations. Advises executive stakeholders, guides delivery teams from prototypes through production, resolves complex technical issues, supports strategic deals, and develops reusable architectures and accelerators. Requires extensive software or solution architecture experience, substantial AI/LLM expertise, enterprise consulting experience, and willingness to travel and work onsite as needed.

Designs and delivers enterprise-scale conversational AI solutions using Dialogflow, Google CCAI, Generative AI, and UJET. Develops intelligent virtual agents, Agent Assist capabilities, GenAI conversational experiences, CCAI Insights, enterprise integrations, and continuous optimization initiatives. Requires strong Dialogflow CX/ES expertise, Google Cloud GenAI experience, webhook and fulfillment integration skills, and hands-on UJET or comparable platform experience.

Processes client transactions according to documented procedures and service-level agreements. Meets productivity, quality, deadline, and customer satisfaction targets while continuously improving performance. Requires knowledge of the Amadeus, Sabre, and Galileo global distribution systems.

Processes client transactions according to documented procedures and service-level agreements. Meets transaction volume, quality, deadline, and customer satisfaction targets while continuously improving process metrics. Requires familiarity with GDS platforms, including Amadeus, Sabre, and Galileo, along with a higher education diploma and up to two years of relevant experience.

Develop and maintain Adobe Experience Manager backend solutions using Java, Sling Models, Servlets, OSGi services, workflows, REST and GraphQL integrations. Manage repositories, indexes, Dispatcher, caching, replication, multisite deployments, and cloud environments. Partner with DevOps teams on CI/CD and Cloud Manager deployments, optimize performance and scalability, implement security practices, and troubleshoot production issues.