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Vector Databases Jobs in Phoenix, AZ (NOW HIRING)

Atos

SOFTWARE ENGINEER

Phoenix, AZ · On-site

Database Management: Implement vector databases for retrieval-augmented generation (RAG) workflows. Collaboration: Partner with Data Science teams to operationalize and scale Python-based prototypes ...

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 ...

Tata Consultancy Service Limited

AI Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

... with vector databases • Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI) and containerization technologies • Proven ownership of complex, cross-cutting agentic systems ...

Northern Trust

SVP AI Enterprise Architect

Tempe, AZ · On-site

$67 - $86.50/hr

... vector databases such as Postgres, Databricks, and Azure Search. • Ability to define measurable AI ROI and differentiate AI vs automation use cases. Company : Northern Trust is a global leader in ...

Pwc

ERP AI Engineer - Senior Associate

Phoenix, AZ · On-site

$77K - $202K/yr

... with vector databases and embedding models - Track record of fine-tuning models on domain-specific data - Experience processing and managing data pipelines - Contributions to open-source AI/ML ...

Tata Consultancy Services

AWS AI Platform Engineer

Phoenix, AZ · On-site

$54.75 - $70.75/hr

RAG architecture, Vector databases, Embeddings, Vector Search, Sematic search, Prompt engineering, Context Engineering, Agentic AI, Multi-agent orchestration, MCP, LangChain, LangGraph, LlamaIndex ...

New

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Nice to have - Passion and drive for a POC / designing RAG architecture, vector databases, or integrating LLMs into data pipelines. * Familiarity with data privacy regulations knowledge (GDPR, CCPA ...

New

Intel

Software Engineer

Phoenix, AZ · On-site

End-to-end experience with generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, semantic search, and RAG workflows. * Foundations in data structures ...

Lorven Technologies

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

Vector databases * Embeddings * Evaluation frameworks * Guardrails * Fine-tuning * Orchestration frameworks * 8+ years experience in Python. * Proficiency in C#, Java, or TypeScript is a plus. * 6+ ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Experience with vector databases and indexing for LLMs (e.g., FAISS, Pinecone). Interpersonal Skills: * Communication * Computer proficiency * Presentation skills * Listening * Teamwork Candidates ...

Pwc

ERP AI Engineer - Manager

Phoenix, AZ

$99K - $232K/yr

... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ

$130K - $177K/yr

Experience with vector databases and indexing for LLMs (e.g., FAISS, Pinecone). Interpersonal Skills: * Communication * Computer proficiency * Presentation skills * Listening * Teamwork Candidates ...

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All JobsVector Databases JobsVector Databases Jobs in Phoenix, 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 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 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 are popular job titles related to Vector Databases jobs in Phoenix, AZ? For Vector Databases jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Phoenix, AZ look for? The top searched job categories for Vector Databases jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Vector Databases jobs? Cities near Phoenix, AZ with the most Vector Databases job openings:
Vector Databases jobs near you

SOFTWARE ENGINEER

Atos

Phoenix, AZ • On-site

Full-time

Posted 10 days ago

Job description

About Atos Group
Atos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. €7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE listed on Euronext Paris.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Position: Java & AI Engineer
Location: Phoenix, AZ (Onsite)
Type: Fulltime
We are seeking a skilled Senior Java & AI Engineer. You will design, build, and deploy AI-powered software solutions. You will blend traditional backend Java development with cutting-edge artificial intelligence, machine learning (ML), and Large Language Model (LLM) architectures. Key Responsibilities Backend Development: Build robust, scalable, and secure backend microservices using Java and Spring Boot. AI Integration: Integrate AI/ML models, LLMs, and Generative AI APIs into existing Java applications. Pipeline Engineering: Design and maintain data pipelines for machine learning model training and inference. Architecture Design: Create system architectures optimized for high throughput and low-latency AI responses. Database Management: Implement vector databases for retrieval-augmented generation (RAG) workflows. Collaboration: Partner with Data Science teams to operationalize and scale Python-based prototypes into production Java code. Required Skills and Qualifications Core Language: Mastery of Java (version 17 or higher preferred). Frameworks: Extensive experience with Spring Boot, Spring Cloud, and Hibernate. AI/ML Tools: Hands-on experience with Java AI frameworks like LangChain4j, Spring AI, Deep Java Library (DJL), or Tribuo. Cloud & DevOps: Proficiency in One of these AWS, Azure, or GCP, alongside Docker and Kubernetes. Strong understanding of software design patterns, CI/CD pipelines, and agile methodologies.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
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