ZipRecruiter

Log In

1

Vector Databases Jobs in Palmdale, CA (NOW HIRING)

Pwc

ERP AI Engineer - Senior Associate

Los Angeles, CA · 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 ...

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

Experience in RetrievalAugmented Generation (RAG) design, optimization, and troubleshooting, including embeddings, vector databases, chunking strategies, and retrieval tuning. * Applied experience ...

Fuel Cycle

Senior Data Engineer

Los Angeles, CA · On-site

$185K - $200K/yr

Familiarity with vector databases, embedding pipelines, and RAG patterns for AI workloads - using tools such as Databricks Vector Search, pgvector, or Amazon OpenSearch * Exposure to AI agent and LLM ...

Fuel Cycle

Senior Data Engineer

Los Angeles, CA · Remote

$114K - $155K/yr

Familiarity with vector databases, embedding pipelines, and RAG patterns for AI workloads -- using tools such as Databricks Vector Search, pgvector, or Amazon OpenSearch * Exposure to AI agent and ...

CompassX Group

Solution Architect - GenAI

Los Angeles, CA · On-site

$150K - $190K/yr

LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock), vector databases, RAG pipelines, evaluation frameworks, and deployment infrastructure. * Bridge to Enterprise Systems: Integrate GenAI ...

CompassX Group

Solution Architect - GenAI

Los Angeles, CA · On-site

$150K - $190K/yr

LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock), vector databases, RAG pipelines, evaluation frameworks, and deployment infrastructure. * Bridge to Enterprise Systems: Integrate GenAI ...

Pwc

ERP AI Engineer - Manager

Los Angeles, CA

$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 ...

Fox

Senior Product Manager

Los Angeles, CA

$136K - $179K/yr

Experience developing AI-enabled products and working with large language models (LLMs), retrieval systems, vector databases, knowledge graphs, MCP frameworks, or enterprise knowledge platforms.

FOX News Network, LLC

Senior Product Manager

Los Angeles, CA · On-site

$136K - $179K/yr

Experience developing AI-enabled products and working with large language models (LLMs), retrieval systems, vector databases, knowledge graphs, MCP frameworks, or enterprise knowledge platforms.

Tubi

Data Scientist, Growth Analytics

Los Angeles, CA · On-site +1

Familiarity with modern AI frameworks and tooling (e.g., LangChain, LangGraph, OpenAI APIs, MCP, vector databases, or similar agent orchestration frameworks) is highly desirable. * Strong ...

Pwc

CTIO AI Engineering Manager

Los Angeles, CA · On-site

$73K - $244K/yr

... vector databases and orchestration tools like LangChain - Translating complex business problems into software-engineered AI solutions - Deploying on cloud platforms like AWS, GCP, Azure ...

Deloitte

Cyber - SecOps - Consultant

Los Angeles, CA

Qualifications Required: * 2+ years of analytics consulting or industry experience * 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone ...

previous pagenext page

Showing results 21-40

All JobsVector Databases JobsVector Databases Jobs in Palmdale, CA

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 Palmdale, CA? For Vector Databases jobs in Palmdale, CA, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Palmdale, CA look for? The top searched job categories for Vector Databases jobs in Palmdale, CA are:
What cities near Palmdale, CA are hiring for Vector Databases jobs? Cities near Palmdale, CA with the most Vector Databases job openings:
Vector Databases jobs near you

Sr Software Engineer

The Walt Disney Company

Glendale, CA

$135K - $181K/yr

Full-time

Re-posted 5 days ago

Walt Disney Company rating

7.7

Company rating: 7.7 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

5th of 51 rated entertainment

Job description

Job Posting Title:

Sr Software Engineer

Req ID:

10149383

Job Description:

At Disney "We Power the Magic!" That's our motto at Disney Experiences (DX) Technology & Digital. Our team creates world-class immersive digital experiences for Disney's Consumer Products Business.

This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Senior Software Engineer will report to the Sr Manager, Technology.

Please note that this role is not open to sponsorship of any kind at this time. (i.e.: OPT, H1B, TN).

About the Role & Team

We are seeking a talented Sr Software Engineer to drive and develop scalable and performing data and application integration through APIs and/or Data across Licensing Financial Systems and Artificial Intelligence Systems. This role will be instrumental in shaping the architecture, integration, and delivery of next-generation platforms that power financial licensing workflows and predictive analytics.

What You'll Do

  • Lead the design, development, and deployment of data and application integration solution built using Mulesoft for licensing financial systems and AI-powered applications.

  • Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation.

  • Collaborate with product, business, and data science teams to define system requirements and deliver intelligent automation and integration.

  • Apply machine learning and AI techniques to optimize licensing workflows

  • Mentor junior or contracted engineers and foster a culture of innovation, inclusion, and technical excellence.

  • Stay current with emerging technologies in integration, AI, financial systems, and cloud-native development to inform strategic decisions.

Qualifications:

  • A minimum of 5 years of software engineering experience, including development of data and application integration for complex and large-scale systems

  • Hands-on experience with API Gateways/API management (Google Apigee)

  • Excellent database skills in SQL and stored procedures and in optimizing large, complex SQL statements

  • Hands-on expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data pipelines.

  • Hands-on building and deploying LLM-based applications, including prompt engineering and fine-tuning

  • Experience with RAG (Retrieval Augmented Generation), vector databases, and embeddings

  • Excellent programming skills in languages Java and Python.

  • Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (e.g., Kubernetes).

  • Agile development experience and familiarity with CI/CD pipelines.

  • Excellent communication and stakeholder engagement skills.

Preferred Qualifications

  • Experience with licensing systems in media, entertainment, or digital content industries.

  • A minimum of 3 years of experience with integration software Mulesoft

  • Background in data engineering or applied AI in enterprise environments.

Education:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).

  • Master's degree or certifications in AI, Data Science, or Financial Technology is a plus.

#DISNEYTECH

#LI-AF2

The hiring range for this position in Glendale, California is $141,900 to $190,300 per year and in Orlando, FL is $135,200 to $181,200 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

DX Technology

Job Posting Primary Business:

Tech Delivery, Platforms, & Core Systems

Primary Job Posting Category:

Software Engineer

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Glendale, CA, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-06-10

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

Social media

FacebookTwitter

View All Walt Disney Jobs

Apply