1 to 25 of 1,031 Conversational UI Jobs

Senior Android Engineer (UI/UX & Welcome Manager) Overview We are seeking an exceptional Senior Android Engineer to join a newly-founded joint venture backed by five of the world's leading telecommunications companies. Our mission is to restore trust in voice communication by building a network-native intelligence layer to combat the global epidemic of voice fraud and … call screening experience). As the Senior Android Engineer for the Welcome Manager, you are the User-Facing Owner of our AI innovation showcase. This isn't just another UI/UX role; you will be the primary architect of a novel conversational interface. Your challenge is to build the magic: the live transcription, the mid-call … we will showcase to the world at Mobile World Congress (MWC) 2026, and your work will be the primary driver for our monetization strategy. Key Responsibilities ? Conversational UI Architecture: Own the end-to-end development of the Personal Welcome Manager's conversational interface on Android. You will build a fluid, intuitive, and polished user experience More ❯

audio modelling – with an emphasis on live/real-time applications. Experience in model quantization, pruning or distillation. Experience working in the domain of live speech processing and conversational AI. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical More ❯

smooth user experiences Build performant, scalable and secure back-end services. Collaborate closely with the AI platform team to build compelling AI first features and products Create responsive, intuitive UI components that make complex AI functionality accessible to end users Write clean, maintainable code with appropriate testing and documentation Configure builds and automated tests to execute reliably in CI More ❯

without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a More ❯

without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a More ❯

without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a More ❯

facing services. Mentor junior engineers , promote best practices, and contribute to AI architecture and strategic planning. Work with multi-modal models (text, vision, voice) to build versatile and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with More ❯

facing services. Mentor junior engineers , promote best practices, and contribute to AI architecture and strategic planning. Work with multi-modal models (text, vision, voice) to build versatile and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with More ❯

facing services. Mentor junior engineers , promote best practices, and contribute to AI architecture and strategic planning. Work with multi-modal models (text, vision, voice) to build versatile and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with More ❯

facing services. Mentor junior engineers , promote best practices, and contribute to AI architecture and strategic planning. Work with multi-modal models (text, vision, voice) to build versatile and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with More ❯

facing services. Mentor junior engineers , promote best practices, and contribute to AI architecture and strategic planning. Work with multi-modal models (text, vision, voice) to build versatile and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with More ❯

facing services. Mentor junior engineers , promote best practices, and contribute to AI architecture and strategic planning. Work with multi-modal models (text, vision, voice) to build versatile and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with More ❯

Azure, GCP) , API management , enterprise integration , and data architecture . Exposure to AI/ML or Generative AI in real-world applications (e.g., NLP, entity extraction, predictive analytics, conversational AI). Deep appreciation of regulatory landscape , data privacy, and cybersecurity needs within financial services. Preferred Background Experience working with top-tier banks, asset managers, or technology consulting firms More ❯

AWS, Azure, GCP), API management, enterprise integration, and data architecture. Exposure to AI/ML or Generative AI in real-world applications (e.g., NLP, entity extraction, predictive analytics, conversational AI). Deep appreciation of regulatory landscape, data privacy, and cybersecurity needs within financial services. Preferred Background Experience working with top-tier banks, asset managers, or technology consulting firms More ❯

similar CRMs. Understanding of workflow automation tools (e.g., Zapier, n8n, Make) and dashboarding platforms (e.g., Power BI, Tableau). Hands-on experience in chatbot development and conversational UI design is a plus. Familiarity with RESTful APIs and SDKs for integrating LLMs into enterprise platforms. Knowledge of cloud platforms (Azure, AWS, GCP) and containerization tools (Docker, Kubernetes) is More ❯

is interoperable across various platform builds. Develop and maintain APIs and integrations to connect front end with backend services and databases. Implement AI-enabled interfaces (e.g., semantic search, conversational UX) in collaboration with Product and Data Science teams. Create interactive data visualizations to present complex datasets to customers. Ensure best practices in performance, accessibility, and security across platforms. More ❯

is interoperable across various platform builds. Develop and maintain APIs and integrations to connect front end with backend services and databases. Implement AI-enabled interfaces (e.g., semantic search, conversational UX) in collaboration with Product and Data Science teams. Create interactive data visualizations to present complex datasets to customers. Ensure best practices in performance, accessibility, and security across platforms. More ❯

is interoperable across various platform builds. Develop and maintain APIs and integrations to connect front end with backend services and databases. Implement AI-enabled interfaces (e.g., semantic search, conversational UX) in collaboration with Product and Data Science teams. Create interactive data visualizations to present complex datasets to customers. Ensure best practices in performance, accessibility, and security across platforms. More ❯

is interoperable across various platform builds. Develop and maintain APIs and integrations to connect front end with backend services and databases. Implement AI-enabled interfaces (e.g., semantic search, conversational UX) in collaboration with Product and Data Science teams. Create interactive data visualizations to present complex datasets to customers. Ensure best practices in performance, accessibility, and security across platforms. More ❯

is interoperable across various platform builds. Develop and maintain APIs and integrations to connect front end with backend services and databases. Implement AI-enabled interfaces (e.g., semantic search, conversational UX) in collaboration with Product and Data Science teams. Create interactive data visualizations to present complex datasets to customers. Ensure best practices in performance, accessibility, and security across platforms. More ❯

is interoperable across various platform builds. Develop and maintain APIs and integrations to connect front end with backend services and databases. Implement AI-enabled interfaces (e.g., semantic search, conversational UX) in collaboration with Product and Data Science teams. Create interactive data visualizations to present complex datasets to customers. Ensure best practices in performance, accessibility, and security across platforms. More ❯

to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management, ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to retirement (IMACD More ❯

to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management, ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to retirement (IMACD More ❯

to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management, ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to retirement (IMACD More ❯

to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management, ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to retirement (IMACD More ❯