AI-first digital engineering for enterprise cloud and data modernization
Quantiphi is a 1,000+ person AI and data engineering consultancy built around cloud migrations and AI-first transformations. The stack spans AWS, GCP, and Azure with heavy Spark/Hadoop infrastructure alongside modern tools (Terraform, Docker, Python), and the adoption list reveals a sharp pivot toward generative AI: OpenAI, Hugging Face, LangChain, and RAG frameworks now share engineering effort with legacy ETL replacements (Tableau, Teradata, Oracle). Senior-heavy hiring (193 of 278 open roles) concentrated in engineering and data, paired with active proof-of-concept agentic AI projects, signals a shift from pure modernization work into AI-driven solutions delivery.
Notable leadership hires: Strategic Account Director, AI Solutions Lead
Quantiphi combines AI research with cloud engineering to help enterprise clients modernize operations and unlock data value. Founded in 2013, the company serves Fortune 2000 buyers across CPG, healthcare, and financial services through a consulting model. Core workstreams include enterprise data warehouse builds, contact center automation (Amazon Connect), cloud data migrations, ML system scaling, and emerging agentic AI deployments. Operating across nine countries with engineering teams in India, Singapore, and the UK, Quantiphi balances deep industry expertise with hands-on delivery of predictive analytics, generative AI, and cloud infrastructure.
AWS, GCP, and Azure infrastructure; Spark/Hadoop for big data; Python, Java, Scala for development; Terraform and CloudFormation for IaC; and increasingly Hugging Face, LangChain, and RAG frameworks for generative AI work.
AI and data modernization for enterprise; Amazon Connect contact center deployments; enterprise data warehouse builds; cloud migrations; proof-of-concept agentic AI projects; and ML scaling initiatives, primarily targeting Fortune 2000 CPG and healthcare accounts.
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