1

Qdrant Jobs in New York (NOW HIRING)

Technical Skillset Python, FastAPI OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini LangGraph, LangChain, LlamaIndex, CrewAI Pinecone, Qdrant, Weaviate, ChromaDB PostgreSQL, Redis, Neo4j Docker ...

Python GenAI

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Enterprise Redis Database, Qdrant, Cockroach * Must have experience of working with Model Risk Management/Model Governance, which includes * Delivering on a Gen AI project following the model ...

AI Engineer (US)

New York, NY · On-site

$114K - $157K/yr

Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). * Proficiency in Python and solid ...

Trino/Presto, Apache Cassandra / ScyllaDB, Elasticsearch / OpenSearch, Milvus, Qdrant * Multi Kubernetes Proficiency: Technical depth across competing enterprise distributions (OpenShift, EKS, GKE ...

New

Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems. * Experience with enterprise AI use cases in financial services, legal, consulting, enterprise SaaS ...

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Understanding of data requirements for ML/AI systems, including experience with vector databases (Pinecone, Weaviate, Qdrant) and embedding pipelines Preferred Experience * Experience building data ...

next page

Showing results 1-20

Qdrant information

What is the difference between Qdrant vs Data Scientist?

AspectQdrantData Scientist
Required CredentialsTechnical certifications, knowledge of vector databasesDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, startups, AI-focused firmsResearch labs, tech companies, consulting firms
Industry UsageAI, machine learning, data storageData analysis, predictive modeling, research

Qdrant primarily focuses on managing and deploying vector similarity search databases, requiring technical skills in database management and AI tools. Data Scientists analyze data, build models, and interpret results. While both roles operate within the tech and AI industry, Qdrant specialists are more technical and infrastructure-oriented, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Qdrant jobs in New York?

For Qdrant jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Qdrant jobs?

Cities in New York with the most Qdrant job openings:

Infographic showing various Qdrant job openings in New York as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution.

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Role AI Solution Architect - Onshore
Key Responsibilities
Experience Bring 12+ years of experience leading the design, development, and deployment of enterprise AI solutions.
Technical Leadership Define and oversee the overarching technical direction, system architecture, and engineering standards.
Solution Architecture Design end-to-end AI solutions architectures that integrate seamlessly with enterprise systems, ensuring scalability, reliability, security, and maintainability.
Best Practices Establish and enforce robust best practices for machine learning development and MLOps pipelines.
Stakeholder Collaboration Partner closely with cross-functional stakeholders to align AI capabilities with core business goals.
Requirements Gathering Translate complex business needs and strategic visions into actionable AI project requirements.
Team Mentorship Guide, mentor, and elevate engineering teams to ensure successful, scalable project execution.
Innovation Drive the continuous evaluation and adoption of emerging AI technologies to maintain a competitive edge.
Qualifications
Proven experience designing enterprise-scale AI architectures across cloud and hybrid environments.
Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI, prompt engineering, embeddings, vector databases, and AI evaluation methodologies.
Experience with AI orchestration frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or equivalent technologies.
Expertise in cloud platforms (AWS/GCP), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
Strong knowledge of MLOps/LLMOps, AI observability, monitoring, governance, and production support.
Experience designing REST APIs, microservices, event-driven architectures, and enterprise integration patterns.
Excellent communication, consulting, and stakeholder management skills with the ability to influence technical and business decision-making.
Technical Skillset
Python, FastAPI
OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini
LangGraph, LangChain, LlamaIndex, CrewAI
Pinecone, Qdrant, Weaviate, ChromaDB
PostgreSQL, Redis, Neo4j
Docker, Kubernetes
AWS, GCP
GitHub Actions, Azure DevOps, Jenkins
MLflow, Promptfoo, OpenTelemetry
REST APIs, Microservices, Event-Driven

Virtusa logo

About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

Social media