ZipRecruiter

Log In

1

Vector Databases Jobs in Alabama (NOW HIRING)

Pwc

ERP AI Engineer - Manager

Birmingham, AL · On-site

$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 ...

Parsons Corporation

AI Engineer

Huntsville, AL · On-site

$134K - $241K/yr

Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses. * Exposure to model hosting, inference pipelines, or cloud-based AI development ...

Pwc

CTIO AI Engineering Manager

Birmingham, AL · 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 ...

Parsons Corporation

AI Engineer

Huntsville, AL · On-site

$134K - $241K/yr

Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses. * Exposure to model hosting, inference pipelines, or cloud-based AI development ...

Parsons

AI Engineer

Huntsville, AL · On-site

$134K - $241K/yr

Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses. * Exposure to model hosting, inference pipelines, or cloud-based AI development ...

Parsons

AI Engineer

Huntsville, AL · On-site

$134K - $241K/yr

Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses. * Exposure to model hosting, inference pipelines, or cloud-based AI development ...

IGNITE

AI/ML SOFTWARE ENGINEER

Huntsville, AL · On-site

... and vector search • Experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and RESTful API design • Familiarity with version control systems (Git) and collaborative ...

kgs

AI/ML Engineer

Huntsville, AL

Foundational understanding of AI/ML concepts, including natural language processing (NLP), large language models (LLMs), embeddings, and vector search * Experience with relational databases (e.g ...

Koniag, Inc.

AI/ML Engineer

Huntsville, AL · On-site

$100K - $130K/yr

Foundational understanding of AI/ML concepts, including natural language processing (NLP), large language models (LLMs), embeddings, and vector search * Experience with relational databases (e.g ...

kgs

AI/ML Engineer

Huntsville, AL

Foundational understanding of AI/ML concepts, including natural language processing (NLP), large language models (LLMs), embeddings, and vector search * Experience with relational databases (e.g ...

ISSAC Corp

Be Seen First

Software Developer

Huntsville, AL · On-site

$130K - $160K/yr

... vector mathematics · Proficiency in designing, implementing, and optimizing SQL database structures and queries. · Excellent problem-solving skills and the ability to adapt to new technologies ...

next page

Showing results 1-20

All JobsVector Databases JobsVector Databases Jobs in Alabama

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 Alabama? For Vector Databases jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Alabama look for? The top searched job categories for Vector Databases jobs in Alabama are:
What cities in Alabama are hiring for Vector Databases jobs? Cities in Alabama with the most Vector Databases job openings:
Vector Databases jobs near you
Distinguished AI/ML Engineering Lead

Distinguished AI/ML Engineering Lead

Frontier Technology Inc.

Huntsville, AL • Remote

$101K - $133K/yr

Full-time

Posted 10 days ago

Job description

Overview

FTI Defense delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

FTI Defense is seeking a Distinguished AI/ML Engineer to serve as a technical leader, architect, and integrator - designing, building, deploying, and sustaining AI systems that transform complex mission data into trusted, explainable insights.

This is a hands-on builder role, not an analytics management position. The ideal candidate is equally comfortable writing model code, standing up ML pipelines, and integrating AI inference services into operational systems within secure environments. The right candidate blends deep AI/ML engineering expertise with system-level architecture leadership and an ability to unify data engineering, simulation modeling, and responsible AI principles into scalable, mission-ready capabilities.

Responsibilities
  • Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines.
  • Design and deploy scalable AI architectures including APIs, microservices, and model-serving frameworks that integrate seamlessly with analytic, simulation, or operational systems.
  • Lead the full AI/ML lifecycle - from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments (IL5/IL6, ATO, GovCloud).
  • Engineer event-driven data pipelines and feature stores for both structured and unstructured data, including text, imagery, and simulation outputs.
  • Ensure Responsible AI practices by embedding traceability, explainability, and confidence scoring into deployed systems.
  • Implement and maintain MLOps pipelines (MLflow, Kubeflow, Airflow, Docker/Kubernetes) to support continuous integration, retraining, and drift detection.
  • Transition R&D prototypes into production, optimizing for mission constraints such as limited compute, edge environments, or disconnected operations.
  • Provide technical leadership and mentorship, setting standards for model quality, architectural design, and ethical AI deployment across programs.
  • Collaborate across engineering, data, and modeling teams to unify FTI's AI portfolio, ensuring interoperability and reuse across mission systems.
  • Support proposal and solution development, providing technical inputs for AI/ML architectures, data strategies, and Responsible AI assurance frameworks.
Education/Qualifications
  • Active Secret clearance required; TS/SCI strongly preferred.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's or Ph.D. preferred).
  • 10+ years of overall experience in AI/ML development, with 5+ years designing and deploying scalable AI/ML architectures, including at least two full lifecycle implementations (from prototype to operational system).
  • Proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks.
  • Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate), knowledge graphs, and semantic search frameworks.
  • Proven ability to design event-driven data pipelines using Databricks, Spark, Flink, or Kafka.
  • Demonstrated experience deploying AI/ML systems in secure, classified, or edge environments.
  • Familiarity with Responsible AI and assurance principles, including bias detection, explainability, human-machine teaming, and hallucination prevention.
  • Experience integrating AI models into simulation, modeling, or operational planning systems is highly desirable.
  • Experience transitioning R&D systems into accredited production environments.
  • Strong communication and mentoring skills, with the ability to lead technically while remaining deeply hands-on.

#LI-KM1

#LI-Remote

Employment Type: FULL_TIME

Apply