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Vector Databases Jobs in Mesa, AZ (NOW HIRING)

Confiz Limited

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/hr

Evaluate and select appropriate AI frameworks, LLM providers (OpenAI, Anthropic, Azure AI Foundry, etc.), and vector databases for use-case fit. * Establish best practices for model lifecycle ...

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

Exposure to APIs, cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and vector databases * MLOps/data tools: MLflow, Kubeflow, Argo Workflows, Kafka, Spark, or NiFi Preferred Skills * Flask ...

Momento USA LLC

Gen AI Engineer

Phoenix, AZ · On-site

Proficiency in vector databases (Pinecone, Weaviate, Chroma, Milvus) and building Retrieval-Augmented Generation (RAG) or GraphRAG pipelines. * Agentic Workflows: Designing multi-agent systems, tool ...

Arkhya Tech

GenAI Solutions Leader

Phoenix, AZ · On-site

Hands-on with GenAI and agentic AI (LLMs, diffusion models, RAG, tool use/agents); familiarity with OpenAI Azure, Hugging Face, LangChain/LangGraph, ADK, vector databases. Experience with MLOps ...

IntraEdge

Architect

Phoenix, AZ · On-site

$63 - $83/hr

... and Vector Databases • Expertise in one or more AI frameworks, such as LangChain. • Knowledge of AI concepts, such as machine learning, deep learning, natural language processing ...

Perficientcorp Inc

Gen AI Engineer

Phoenix, AZ · On-site

Experience implementing RAG architectures, vector databases, and LLM lifecycle management (prompt engineering, context engineering, fine-tuning, evaluation, monitoring) * Strong programming skills in ...

Matthews

Staff Software Engineer (PHX)

Scottsdale, AZ · On-site

$170K - $220K/yr

Experience with LLMs, LangChain/LangGraph, and vector databases Salary Range - $170k-220k depending on capability level and industry experience svg]:px-3 text-sm tracking-[0.025rem] leading-[1.5rem ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr (+ commission)

RAG solutions and Vector Databases * Microsoft Fabric, Azure Data Factory, Azure SQL * TensorFlow, PyTorch, Scikit-learn, MLflow * Epic Clarity, Epic Caboodle, FHIR, HL7 * Claude Code, GitHub Copilot ...

Dialpad

AI Transformation Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

LLMs, Generative AI concepts, vector databases, and agent orchestration frameworks. Proficiency in Python, Go, JS/TS plus handson experience with LLM frameworks. * Unrivaled Business Acumen: The ...

Freeport McMoRan

Data and AI Engineer II

Phoenix, AZ · On-site

$109K - $131K/yr

Working knowledge of generative AI tooling, LLM APIs, prompt design, vector databases, and RAG patterns, and of MLOps practices for model deployment and monitoring * Working knowledge of Software ...

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Showing results 21-40

All JobsVector Databases JobsVector Databases Jobs in Mesa, AZ

Vector Databases information

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as a vector database engineer, and why are they important?

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What are popular job titles related to Vector Databases jobs in Mesa, AZ?

For Vector Databases jobs in Mesa, AZ, the most frequently searched job titles are:

What job categories do people searching Vector Databases jobs in Mesa, AZ look for?

The top searched job categories for Vector Databases jobs in Mesa, AZ are:

What cities near Mesa, AZ are hiring for Vector Databases jobs?

Cities near Mesa, AZ with the most Vector Databases job openings:

Vector Databases jobs near you

Principal AI Engineer

Confiz Limited

Phoenix, AZ • On-site

$180 - $230/hr

Other

Posted 28 days ago

Job description

Confiz is seeking a Principal AI Engineer in the Phoenix AZ market, who can design and drive end-to-end AI-powered solutions from data engineering and model architecture to full-stack integration and deployment. This role bridges data platforms, AI/ML systems, and application development, ensuring solutions are scalable, secure, and production-ready.

Responsibilities
  • Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and predictive models, aligned with business objectives.
  • Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for large-scale data processing and model training/serving.
  • Architect full-stack solutions that integrate AI models into web/enterprise applications — covering front-end, back-end APIs, and cloud infrastructure.
  • Evaluate and select appropriate AI frameworks, LLM providers (OpenAI, Anthropic, Azure AI Foundry, etc.), and vector databases for use-case fit.
  • Establish best practices for model lifecycle management: versioning, monitoring, retraining, and governance.
  • Collaborate with data engineers, ML engineers, full-stack developers, and product owners to translate business requirements into technical architecture.
  • Design scalable, secure, and cost-optimized cloud architectures (Azure/AWS/GCP) for AI workloads.
  • Conduct architecture reviews, POCs, and technical feasibility assessments for new AI initiatives.
  • Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic workflows.
  • Ensure solutions meet performance, security, and compliance standards (data privacy, responsible AI practices).
Requirements
  • 10+ years in software/solution architecture, with 4+ years specifically in AI/ML architecture.
  • AI/ML: Strong understanding of LLMs, RAG architectures, agentic AI systems, prompt engineering, model fine-tuning, and MLOps.
  • Databricks: Hands-on experience with Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow, Databricks Workflows), Spark-based data processing.
  • Full-Stack Development: Working knowledge of front-end (React/Angular) and back-end (Node.js/.NET/Python) development, API design (REST/GraphQL), and microservices architecture.
  • Cloud Platforms: Experience with Azure (AI Foundry, Cognitive Services) and/or AWS/GCP AI & data services.
  • Data Engineering: Familiarity with ETL/ELT pipelines, data modeling, and data governance.
  • Programming: Python (mandatory), plus exposure to SQL, and at least one full-stack language (JavaScript/TypeScript, C#, or Java).
  • Architecture: Proven experience designing scalable, distributed systems; solid grasp of system design principles, security, and DevOps/CI-CD practices.
  • Strong stakeholder communication skills — ability to translate technical architecture into business value for both technical and non-technical audiences.
Nice to Have
  • Experience with vector databases (Pinecone, Weaviate, Snowflake Cortex).
  • Exposure to containerization (Docker/Kubernetes) and infrastructure-as-code (Terraform/Bicep).
  • Prior experience in a client-facing or pre-sales/solutioning capacity.
  • Certifications in Azure/AWS AI or Databricks (Databricks Certified Data Engineer/ML Associate).

We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.

People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.

To know more about Confiz Limited, visit https://www.linkedin.com/company/confiz/

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