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Pinecone Vector Databases Jobs in Atlanta, GA (NOW HIRING)

Finastra

Senior AI Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Vector Databases: Familiarity with vector stores (Pinecone, Weaviate, ChromaDB, FAISS, etc.) for embeddings and retrieval * Software Development: Understanding of Git workflows, version control with ...

PeopleLift

Forward Deployed Engineer

Atlanta, GA · Remote

Are proficient in a variety of structured, unstructured, vector databases such as Postgres SQL, MongoDB, PG Vector, Pinecone, etc as well as cloud database products such as Neon and Supabase. * Are ...

Juvare

Senior DevOps Engineer

Atlanta, GA · On-site +1

$125K - $160K/yr

Familiarity with vector databases (Pinecone, Weaviate, OpenSearch) * Exposure to AIOps or AI-driven automation * Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a ...

Juvare

Senior DevOps Engineer

Atlanta, GA · On-site +1

$125K - $160K/yr

Familiarity with vector databases (Pinecone, Weaviate, OpenSearch) * Exposure to AIOps or AI-driven automation * Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a ...

OneDigital

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Exposure to vector databases (Pinecone, Weaviate, pgvector, Snowflake Cortex) * Personal projects with LLMs, agents, or AI tooling - show us your GitHub Mindset We're Hiring For * Learning mindset.

QTS Realty Trust, Inc.

AI Engineer I

Suwanee, GA · On-site

Familiarity with embeddings and vector search, and at least one vector database (e.g., pgvector, Pinecone, Chroma, Qdrant) * Familiarity with an LLM orchestration framework (e.g., LangChain ...

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Pinecone Vector Databases information

What is a Pinecone vector database?

A Pinecone Vector Database is a cloud-based service designed to efficiently store, index, and search high-dimensional vector data, such as embeddings generated by machine learning models. It enables fast similarity search, making it ideal for use cases like semantic search, recommendation systems, and AI-powered applications. Pinecone handles the complexity of scaling and managing vector data, so developers can focus on building intelligent applications without worrying about infrastructure.

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

To thrive as a Pinecone Vector Database Engineer, you need a strong background in computer science, data engineering, and experience with large-scale distributed systems, often supported by a relevant degree or equivalent experience. Proficiency in Python, REST APIs, cloud platforms (AWS, GCP), and vector search technologies, along with familiarity with Pinecone’s SDK and database management, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and deliver scalable solutions. These skills ensure robust database performance, efficient data retrieval, and successful integration of vector search capabilities into real-world applications.

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

Engineers working with Pinecone Vector Databases often encounter challenges such as optimizing vector search performance at scale, ensuring data consistency across distributed systems, and integrating the database with various machine learning pipelines. Addressing these challenges typically involves tuning indexing parameters, monitoring resource utilization, and collaborating closely with data scientists to understand retrieval requirements. Regularly reviewing documentation and participating in community forums can also help engineers stay current with best practices and new features.

What is the difference between Pinecone Vector Databases vs Data Engineers?

AspectPinecone Vector DatabasesData Engineers
Primary RoleManaging and deploying vector database solutions for AI/ML applicationsDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of vector databases, cloud platforms, programming (Python, SQL)Data modeling, ETL processes, cloud services, programming (Python, Java)
Work EnvironmentTech companies, AI startups, cloud providersData-driven organizations, tech firms, finance, healthcare

While Pinecone Vector Databases specialists focus on deploying and managing vector database solutions for AI applications, Data Engineers build and maintain the data infrastructure that supports these systems. Both roles require programming skills and familiarity with cloud platforms, but their core responsibilities differ: one centers on database management, the other on data pipeline development.

What are popular job titles related to Pinecone Vector Databases jobs in Atlanta, GA? For Pinecone Vector Databases jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Pinecone Vector Databases jobs in Atlanta, GA look for? The top searched job categories for Pinecone Vector Databases jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Pinecone Vector Databases jobs? Cities near Atlanta, GA with the most Pinecone Vector Databases job openings:
Pinecone Vector Databases jobs near you
Infographic showing various Pinecone Vector Databases job openings in Atlanta, GA as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, 1% Temporary, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Staff, Data Science & Applied AI

Warner Bros. Discovery

Atlanta, GA • On-site

Full-time

Posted 15 days ago

Warner Bros. Discovery rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

18th of 75 rated media

Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.
Who We Are...
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Your New Role:
As Staff, Data Science & Applied AI, you will be a core technical contributor within the Enterprise Data & AI Solutions team supporting Warner Bros. Discovery's global portfolio - including Studios, Streaming, Linear Networks, Consumer Products, Games, and Direct-to-Consumer platforms.
This role is designed for a hands-on expert in applied data science who thrives at the intersection of statistical rigor, machine learning engineering, and business impact. You will translate complex business challenges into scalable analytical solutions, production-grade models, and data products that drive measurable enterprise value.
You will operate as a senior individual contributor, partnering closely with Product, Engineering, and Business stakeholders to design, develop, deploy, and scale advanced analytics and AI capabilities across the organization.
Key Responsibilities include:
Advanced Analytics & Machine Learning
  • Design, develop, and deploy statistical, predictive, and machine learning models across domains such as customer analytics, forecasting, personalization, optimization, and content performance.
  • Apply advanced techniques including ensemble methods, gradient boosting, deep learning, NLP, time-series forecasting, and recommendation systems.
  • Ensure model robustness through rigorous validation, monitoring, and performance tracking.

Generative AI & LLM Applications
  • Design and implement Generative AI solutions leveraging large language models (LLMs) for use cases such as knowledge retrieval, content intelligence, metadata enrichment, summarization, and workflow automation.
  • Develop and optimize prompt engineering strategies, evaluation frameworks, and guardrails to ensure high-quality, reliable outputs.
  • Architect Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources.
  • Fine-tune or adapt foundation models where appropriate using parameter-efficient techniques (e.g., LoRA, adapters) aligned with business needs.
  • Implement evaluation pipelines to measure hallucination rates, bias, latency, cost efficiency, and model quality in production environments.
  • Collaborate with Responsible AI and Governance teams to ensure compliance with enterprise AI policies, data privacy standards, and ethical AI practices.

Product Ionization & AI Engineering
  • Collaborate with Data Engineering and DevOps teams to productionize ML and GenAI solutions in scalable cloud environments.
  • Design CI/CD pipelines for model lifecycle management, including experimentation tracking, versioning, and automated retraining.
  • Implement monitoring frameworks for model drift, prompt drift, performance degradation, and data integrity.

Automation & AI Framework Development
  • Develop reusable ML and GenAI frameworks, accelerators, and internal utilities that improve productivity across teams.
  • Advance automation initiatives to reduce manual workflows and enhance analytical velocity.
  • Stay current with cutting-edge advancements in foundation models, multimodal AI, and agentic architectures to continuously elevate enterprise AI capabilities.

Qualifications & Experiences:
  • Bachelor's degree, MS, or greater in Computer/Data Science, Engineering, Mathematics, Statistics, or related quantitative discipline.
  • 8+ years relevant experience in data science, 2+experience in GenAI
  • Demonstrated track record of delivering production-grade AI/ ML solutions with measurable business impact.

Generative AI & Large Language Model (LLM) Expertise
  • Hands-on experience designing and deploying Generative AI solutions using large language models (e.g., GPT-class models, open-source foundation models, or enterprise LLM platforms).
  • Strong proficiency in prompt engineering, structured output design, few-shot learning strategies, and systematic prompt optimization
  • Experience building Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and enterprise data sources.
  • Familiarity with embedding models, semantic search, and vector stores (e.g., Pinecone, Weaviate, OpenSearch, FAISS, or equivalent).
  • Experience fine-tuning or adapting foundation models using parameter-efficient approaches (e.g., LoRA, adapters, instruction tuning).
  • Understanding of LLM evaluation methodologies, including hallucination detection, bias assessment, response quality scoring, and cost-performance trade-offs.
  • Exposure to multimodal AI (text, image, audio, video) and agent-based workflows is a plus.
  • Experience working with enterprise AI platforms (e.g., AWS Bedrock, Azure OpenAI, Databricks Model Serving, Snowflake Cortex, or equivalent).
  • Understanding of Responsible AI principles, data privacy considerations, and model governance requirements in regulated environments.

How We Get Things Done...
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

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