Architect - Conversational AI

Job Description

Responsibilities

• Technical Project Delivery:
• Own the complete SDLC of our product(s) by managing the solutioning, engineering, testing, release and maintenance
• Lead engagements with multiple work-streams; prepare project plans and manage deliverables
• Guide and help team members to debug and solve technical problems
• Review and perform code walkthrough and quality reviews
• Client Management:
• Managing customer communication & relationships
• Guide the client on technology evaluation, technical thought leadership and direction for Conversational AI projects
• Constantly sync with the product & Business team to align on business priorities, and plan for long term and short-term architecture goals
• Showcase thought leadership on technology roadmaps, agile development methodologies and best practices
• Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions
• Team management:
• Work with the team to identify and qualify business opportunities. Identify key customer technical objections and develop a strategy to resolve technical blockers
• Ensure proper skill development of team members
• Travel to customer sites, conferences, and other related events as required

Required Skills

• Experience with 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, Rasa etc. (as a Project Manager/Analyst/Consultant)
• Software and Product Development on languages like NodeJs, Python etc.
• Excellent communication, articulation, abstraction, analytical and presentation skills
• Ability to work with minimal supervision in a dynamic and time sensitive work environment
• Team management experience is must
• Excellent aptitude in business analysis and awareness of quantitative analysis techniques
• Knowledge of one of NodeJS or Python is a must
• Understanding of Natural Language Processing (NLP) and supervised Machine Learning (ML) concepts (such as vectorization, N-gram, classification, clustering, overtraining etc.)
• Experience with deploying machine learning algorithms as REST API based services
• Experience working with scalable, high-performance systems
• Experience in architecting solutions and integrations with multiple technologies and systems.

Nice to have skills

• 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)
• Experiences with Databases – relational and non-relational
• Experience in the Cloud deployments on GCP, AWS or Azure

What’s in it for YOU at Quantiphi?

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.