Technical Architect - Conversational AI

Job Description

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake
, we build and deliver enterprise‑grade AI services and solutions that create real-world impact.

We have been recognized with:

• 17x Google Cloud Partner of the Year awards in the last 8 years
• 3x AWS AI/ML award wins
• 3x NVIDIA Partner of the Year titles
• 2x Snowflake Partner of the Year awards
• Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms
• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting‑edge Generative AI and Agentic AI accelerators
• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

• 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

• Experience with:
• AI Bot platforms, such as Dialog Flow/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)

OR

• Software and Product Development on languages like Node Js, 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, over training 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.

• Strong understanding of the NLP…