Conversational Designer
6 days ago
About Us:
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Company Highlights:
- Delivered 2.5x growth YoY since its inception in 2013
- Headquartered in Boston, with 4000+ Quantiphi professionals across the globe
- Great Places to Work certified for 2 consecutive years- 2022, 2021
- Recognized by Everest Group as Specialist Leader and Star Performer in Analytics and AI Services, 2022
- Recognized as an AIFinTech100 Company, 2022 by InsurTech
- Winner of Best in Business Award in Established Business category by INC., 2022
- Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Healthcare by Frost & Sullivan, 2022
- Recognized in Gartner Hype Cycle Reports for AI Strategy, 2022
- Winner of 2021 Google Cloud Breakthrough Partner of the Year- North America
- Winner of 2021 AWS Canada Rising Star of the Year
- Recognized as Leader in IDC MarketScape: WorldWide AI IT Services, 2021
- Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
- Winner of NVIDIA's Americas Service Delivery Partner of the Year, 2021
Job Description:
As part of the core delivery team of Quantiphi, the Conversation Designer will be responsible for designing the user experience of a virtual agent. Your focus would be to ensure that the virtual assistant is conversationally engaging, impactful for the end-user, and matches the voice of the brand. You will translate the brand’s business requirements into natural dialogue flows backed up by UX research and good design practices.
Your responsibilities will include:
- Gather customer requirements, analyze their needs and determine analytical requirements for virtual agent
- Define use cases
- Design a human-to-virtual-agent conversation flow iteratively
- Apply industry best practices and promote standards for execution and delivery approach
- Guide the customer on technology evaluation, technical thought leadership and direction for Conversational AI projects.
- Act as a conduit between technical team members and business customers, and take a lead in preparing functional and technical specification documents.
- Showcase thought leadership on technology roadmaps, agile development methodologies and best practices.
- Managing customer communication & relationships
Required Skills:
- Experience in at least one of the following areas: Analytics, AI, Linguistics, Copywriting, UX Design or Product Design
- Excellent communication, articulation, abstraction, analytical and presentation skills
- Ability to work with minimal supervision in a dynamic and timeline sensitive work environment
- Excellent aptitude in business analysis and awareness of quantitative analysis techniques. Your plans and actions are backed by not just gut feeling but also customer/ industry/ market research
Nice to have skills:
- Experience in AI bot platforms, such as DialogFlow/API.AI, Cloud ML, Microsoft Bot Framework and Azure Cognitive Services, Amazon Lex, IBM Watson, Wit.ai, Salesforce Einstein etc. (as a Project Manager/Analyst/Consultant)
- Strong understanding of the NLP space (natural language understanding, sentiment analysis, personality insight etc.), conversational interfaces, and leveraging existing services and libraries (integration, configuration, training, continuous learning)
- Well versed with voiced based processing (text to speech, speech to text)
- PMP certification
What is in it for you:
- Be part of the fastest-growing AI-first digital transformation and engineering company in the world
- Be a leader of an energetic team of highly dynamic and talented individuals
- Exposure to working with fortune 500 companies and innovative market disruptors
- Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
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