Opens an external site
- Employment type
- Full-time
- Experience level
- Lead · 10+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
The architect will own the complete SDLC for conversational AI products, managing solutioning, engineering, and release cycles. They will also lead client engagements, providing technical thought leadership and aligning architecture goals with business priorities.
Job details
About the job About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: Website or LinkedIn Page Role: Architect - Conversational AI Experience Level: 10+ Years Employment type: Full Time Location: Canada 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) ● Agentic bot development practices and frameworks. OR ● 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. ● Familiarity with orchestration tools such as CX Agent Studio, with a strong emphasis on understanding the underlying concepts of agentic design and flow management. 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? ● Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale. ● Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges. ● Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. ● Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
What you’ll do
The architect will own the complete SDLC for conversational AI products, managing solutioning, engineering, and release cycles. They will also lead client engagements, providing technical thought leadership and aligning architecture goals with business priorities.
Requirements
Candidates must have 10+ years of experience with AI bot platforms, agentic bot development, and proficiency in NodeJS or Python. Strong analytical, communication, and team management skills are essential for this role.
Benefits
• Upskilling opportunities • Research-driven environment • Collaborative team
Listed skills
- Machine learning · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Conversational AI
- Agentic bot development
- NodeJS
- Python
- NLP
- Machine Learning
- DialogFlow
- Cloud ML
- Azure Cognitive Services
- Amazon Lex
- IBM Watson
- Salesforce Einstein
- Rasa
- REST API
- Agile development
- Team management
Job areas
- Technology
- Software
- Consulting
- Data & Analytics
- Management & Leadership
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