Data & AI Engineer

🔥 4 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Build and modernize enterprise data and AI ecosystems • Design, build, and maintain scalable real-time streaming pipelines • Implement data and AI pipelines for structured, semi-structured, and unstructured data supporting AI and Agentic solutions • Prepare data using extraction, chunking, embedding, and grounding strategies • Design data domains and data products for reporting, data science, AI/ML, and analytics • Design and implement Retrieval-Augmented Generation (RAG) architectures integrated with enterprise data infrastructure • Lead prototypes, experiments, and recommendations involving GenAI technologies • Model domain entities, relationships, and business logic in knowledge graphs • Integrate multi-source data with canonical representation and semantic consistency • Develop and validate synthetic data workflows for agent evaluation • Implement AI-driven data engineering productivity improvements and automated data quality frameworks • Design scalable semantic layers and real-time analytics capabilities for conversational analytics • Integrate semantic layers with AI/LLM platforms for secure, low-latency, context-rich data access • Monitor, alert, and manage incidents to ensure pipeline and system reliability, availability, and scalability • Implement redundancy, fault tolerance, and disaster recovery strategies • Collaborate with DevOps and infrastructure teams on deployment, operation, and maintenance • Mentor junior team members and lead communities of practice • Develop and optimize graph database queries, including Cypher and SPARQL • Design and apply GenAI solutions for insurance-specific data use cases • Partner with architects and stakeholders to implement the vision for AI and data pipelines

🎯 Requirements

• 6+ years of hands-on data engineering experience building large-scale, complex enterprise data ecosystems on cloud platforms (AWS, Azure, or GCP) • Deep technical expertise in Apache Kafka, AWS Kinesis, Spark Streaming, and distributed processing frameworks • Proven experience with RAG architectures, vector search systems, chunking/embedding techniques, and LLM/Agentic AI data pipelines • Experience with graph databases such as Neo4j and Amazon Neptune • Experience with Cypher, SPARQL, or Gremlin • Proficiency in domain-driven data design, dimensional modeling, semantic layer integration, and reusable data products • High proficiency in Python, Scala, or Java, alongside SQL, DataOps, CI/CD, and containerized deployments • Experience handling complex, multi-structured financial-industry domain data strongly preferred • Exceptional leadership, stakeholder communication, and cross-functional collaboration skills • Track record of mentoring team members

🏖️ Benefits

• Exposure to working with Fortune 500 companies and innovative market disruptors • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud • Energetic team of highly dynamic and talented individuals • Opportunity to work at an AI-first digital transformation and engineering company • Contract (C2C) engagement