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.

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