3 Conversational Design Jobs

You are an exceptional, innovative, and passionate individual looking to grow with NTT DATA. If you want to be part of an inclusive, adaptable, and forward-thinking organization, this opportunity is for you. As a Salesforce Datacloud & Agentforce Solution Architect, you will be responsible for designing, developing, and implementing AI-powered conversational experiences within the Salesforce platform. Your role will involve utilizing Agentforce capabilities to create automated customer interactions across various channels, leveraging strong technical skills in Salesforce development and natural language processing (NLP) to build effective virtual agents. Your core responsibilities will include architecting and building data integration solutions using Salesforce Data Cloud, unifying customer data from diverse sources. You will implement data cleansing, matching, and enrichment processes to enhance data quality, design and manage data pipelines for efficient data ingestion, transformation, and loading, and collaborate with cross-functional teams to translate business requirements into effective data solutions. Monitoring data quality, identifying discrepancies, and enforcing data governance policies will also be key aspects of your role. Minimum Skills Required: - Expertise in Salesforce Data Cloud features such as data matching, cleansing, enrichment, and data quality rules - Understanding of data modeling concepts and the ability to design data models within Salesforce Data Cloud - Proficiency in utilizing Salesforce Data Cloud APIs and tools for data integration from various sources - Knowledge of data warehousing concepts and data pipeline development Relevant Experience: - Implementing Salesforce Data Cloud for customer 360 initiatives - Designing and developing data integration solutions - Managing data quality issues and collaborating with business stakeholders - Building and customizing Agentforce conversational flows - Training and refining natural language processing models - Monitoring Agentforce performance and analyzing customer interaction data - Seamlessly integrating Agentforce with other Salesforce components - Thoroughly testing Agentforce interactions before deployment Skills to Highlight: - Expertise in Salesforce administration, development, and architecture - Deep knowledge of Agentforce features and configuration options - Familiarity with NLP concepts - Proven ability in conversational design and data analysis - Experience in designing, developing, and deploying solutions on Salesforce Data Cloud platform - Collaboration with stakeholders and building custom applications and integrations - Development and optimization of data models - Implementation of data governance and security best practices - Troubleshooting, debugging, and performance tuning Join NTT DATA, a trusted global innovator in business and technology services, committed to helping clients innovate, optimize, and transform for long-term success. With a diverse team and a strong partner ecosystem, NTT DATA offers a range of services including business and technology consulting, data and artificial intelligence solutions, as well as application and infrastructure management. Be part of a leading provider of digital and AI infrastructure, transforming organizations and society for a digital future. Visit us at us.nttdata.com.,

As a Salesforce Datacloud & Agentforce Solution Architect at NTT DATA in Hyderabad, Telangana (IN-TG), India, you will be responsible for designing, developing, and implementing AI-powered conversational experiences within the Salesforce platform. Your role will involve utilizing Agentforce capabilities to create automated customer interactions across various channels, requiring strong technical skills in Salesforce development and natural language processing (NLP) to build effective virtual agents. Your core responsibilities will include architecting and building data integration solutions using Salesforce Data Cloud to unify customer data from diverse sources, implementing data cleansing, matching, and enrichment processes to improve data quality, designing and managing data pipelines for efficient data ingestion, transformation, and loading, collaborating with cross-functional teams to understand business requirements and translate them into data solutions, monitoring data quality, identifying discrepancies, and taking corrective actions, as well as establishing and enforcing data governance policies to maintain data consistency and compliance. To be successful in this role, you should have expertise in Salesforce Data Cloud features like data matching, cleansing, enrichment, and data quality rules. You should also possess an understanding of data modeling concepts, proficiency in using Salesforce Data Cloud APIs and tools for data integration, knowledge of data warehousing concepts, and experience in implementing Salesforce Data Cloud for customer 360 initiatives. Additionally, you will be involved in designing and developing data integration solutions, managing data quality issues, collaborating with business stakeholders to define data requirements and KPIs, building and customizing Agentforce conversational flows, refining NLP models for accurate understanding of customer queries, monitoring Agentforce performance, integrating Agentforce with other Salesforce components, testing and deploying Agentforce interactions across various channels, and more. Key skills to highlight on your resume include expertise in Salesforce administration, development, understanding of Salesforce architecture, deep knowledge of Agentforce features, familiarity with NLP techniques, proven ability in conversational design, skills in data analysis, and experience in designing, developing, and deploying solutions on the Salesforce Data Cloud platform. At NTT DATA, a trusted global innovator of business and technology services, we are committed to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts, we provide services in business and technology consulting, data and artificial intelligence, industry solutions, application development, infrastructure management, and connectivity. Join us to be part of a global network dedicated to moving confidently and sustainably into the digital future.,

At SquadStack, were building GenAI AI Agents that are intuitive, intelligent, and capable of truly human-like conversations. As a Voice AI Product Analyst, youll help bring AI agents to life by transforming real-world business needs into smart, scalable voice experiences. This is a hands-on role for someone with an entrepreneurial mindset who wants to learn fast, build boldly, and shape how people interact with AI. Where you'll make an Impact Convert business goals into agentic workflows by designing and iterating on conversation flows and logic Write and test prompts that bring out the best from LLMs in a voice-first context. Evaluate, debug, and improve voicebot performance using structured test cases and success metrics. Work closely with engineering, data, sales, and marketing to align voice AI Agent behavior with real customer use cases. Build tools, prompt templates, and reusable components to scale development efficiently. Document strategies and continuously improve based on data insights and user feedback. Skills that make you a great fit Solid understanding of LLMs and prompt engineering — including few-shot, zero-shot, role prompting, and persona shaping. Comfort with Python and SQL to prototype, automate tests, and analyze conversational data. Strong written and verbal communication in English and Hindi (you’ll write for real people, not robots). A strong sense of ownership and entrepreneurial mindset — you move fast, ask the right questions, and find your own path when needed. A self-starter mindset — you're a “ manager of one ” who can take ownership and drive outcomes. Ability to analyze business requirements and translate them into smart, human-like conversational agents. Qualification Recent graduate in Computer Science, Data Science, Linguistics, AI, Product Design, or a related field. Exposure to large language models (LLMs) like ChatGPT, Claude, Gemini, or similar - academic, personal, or internship projects are welcome. Basic proficiency in Python - able to call APIs, write scripts, or analyze data. Working knowledge of SQL - able to run queries to explore or report on data. Passion for AI, voice tech, or conversational UX - you’ve played with bots, experimented with prompts, or imagined how a smart assistant should talk. 0-1 years of experience working in similar roles & projects Logistics Compensation: Competetive! Joining: ASAP! Location: Noida