Quantiphi - Architect - Conversational AI (5-8 yrs)

Job Description :

Roles and 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

- 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.

- 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.