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Vector Ai Jobs (NOW HIRING)

Diverse Lynx

ML/AI Engineer

Burbank, CA

... retrieval • Vector similarity search implementation using vector databases • ML model ... Key Responsibilities- Develop and deploy Machine Learning and Generative AI solutions using Python ...

Merge Labs

Research Associate - Vector Core

San Francisco, CA · On-site

$95K - $120K/yr

... AI, and are ultimately safe and accessible for anyone to use. About the team: The Delivery team ... We are establishing an in-house AAV vector core to deliver reliable, high-quality vector production ...

New

CYNET SYSTEMS

Gen AI Developer

Nashville, TN · On-site

$50/hr

Experience building vector embedding and vector search pipelines. * Strong cloud-native application ... Strong understanding of AI application architecture and deployment. * Experience with DevOps, CI/CD ...

CYNET SYSTEMS

AI Platform Architect

Nashville, TN · On-site

$60/hr

Experience building vector embedding pipelines and vector search solutions. * Strong cloud-native architecture and deployment experience. * Experience designing scalable AI and machine learning ...

Hirekeyz Inc

Agentic AI Developer

Berkeley Heights, NJ · On-site

Berkeley Heights, NJ Duraction: Full Time Agentic AI Developer (Python) -- Vertex AI RAG + Graph/Vector Datastores Role summary We're looking for a strong agentic AI developer who can build and ...

JConnect Infotech

AI/ML Engineer

Mason, OH

AI/ML Engineer Location: Mason, OH / Woodland Hills, CA (Onsite) Duration: Full-time only Must Have ... Vector database integration * Databases * Vector Databases * MongoDB * Production-grade ML ...

JConnect Infotech

AI/ML Engineer

Woodland Hills, CA

AI/ML Engineer Location: Mason, OH / Woodland Hills, CA (Onsite) Duration: Full-time only Must Have ... Vector database integration * Databases * Vector Databases * MongoDB * Production-grade ML ...

Falconer AI

Founding AI Engineer

San Francisco, CA · On-site

Founding Ai Engineer At Falconer, we're transforming how engineers create, access, and share ... Research and apply best practices in terms of Knowledge Graph, embeddings, vector and graph RAG ...

VIS IT Solutions Inc

AI Architect

Miami, FL · On-site

Miami, FL Duration: 6 months GBaMS ReqID: 10641871 JD: • 10-15 years in AI, ML, or enterprise architecture roles. • Proven track record architecting RAG systems, vector search, and LLM-based ...

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Vector Ai information

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How much do vector ai jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for vector ai in the United States is $15.16, according to ZipRecruiter salary data. Most workers in this role earn between $9.62 and $17.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vector AI Engineer, and why are they important?

To thrive as a Vector AI Engineer, you need strong foundations in mathematics, machine learning, and computer science, often supported by a degree in a related field. Expertise with vector databases (such as Pinecone or FAISS), programming languages like Python, and knowledge of frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving, analytical thinking, and effective communication skills help you translate complex business requirements into scalable AI solutions. These qualifications are crucial for developing, deploying, and maintaining efficient AI systems that leverage vector search and representation for real-world applications.

What are some common challenges faced by professionals working in Vector AI roles, and how can they be addressed?

Professionals in Vector AI roles often face challenges such as managing large-scale, high-dimensional data, ensuring model scalability, and optimizing search algorithms for speed and accuracy. Collaborating closely with data engineers, software developers, and product managers is crucial to integrate AI vector solutions effectively into products. Staying updated on the latest advancements in vector databases and similarity search techniques can also be demanding, so continuous learning and participation in relevant communities are highly beneficial. Adopting best practices for model evaluation and experiment tracking can help address these challenges and drive project success.

What is the difference between Vector Ai vs Data Analyst?

AspectVector AiData Analyst
Required CredentialsTechnical certifications, programming skillsDegree in statistics, data science, or related field
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, software developmentData interpretation, reporting, decision support

Vector Ai professionals focus on developing and implementing AI algorithms, requiring technical skills and programming knowledge. Data Analysts interpret data to inform business decisions, often working with statistical tools. While both roles handle data, Vector Ai is more specialized in AI technology, whereas Data Analysts focus on data insights and reporting.

What is a Vector AI and what do they do?

Vector AI typically refers to professionals or technologies focused on vector-based artificial intelligence, which involves the use of high-dimensional vectors to represent data and perform machine learning tasks. These experts work on algorithms that process and analyze vector data for applications like image recognition, natural language processing, and recommendation systems. Their work is crucial in making AI systems more efficient at understanding complex patterns in large datasets. In some contexts, 'Vector AI' may also refer to companies or platforms developing such technologies.
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Vector Ai jobs near you
Infographic showing various Vector Ai job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $31,529 per year, or $15.2 per hour.
AI/ML Security Integration Engineer

AI/ML Security Integration Engineer

Bigbear.ai

Annapolis Junction, MD • On-site

Full-time

Posted 6 days ago

Job description

Overview
BigBear.ai is seeking an AI/ML Security Integration Engineer with an active TS/SCI clearance with a Poly, to configuring, fine-tuning, and maintaining an ATO Automation Platform's Large Language Model (LLM) capabilities for secure operation within customer environments. This role ensures the AI components of the compliance automation platform function effectively while meeting stringent security requirements for federal deployments, including classified and air-gapped networks. This position will be based out of our Columbia, MD office but will support multiple customers in the Baltimore/Washington corridor and beyond.
What you will do
  • Configure and optimize the ATO Automation Platform's LLM backends (e.g. GPT-4, Claude Sonnet, Llama) based on customer security requirements and deployment constraints
  • Implement and maintain the Retrieval-Augmented Generation (RAG) architecture that powers the ATO Automation Platform's automated compliance documentation
  • Develop and manage customer-specific knowledge bases incorporating organizational policies, security guides, and system documentation for AI processing
  • Fine-tune LLM parameters and prompt engineering to ensure outputs match organization-specific documentation standards and terminology
  • Implement secure data handling procedures for AI processing of potentially sensitive system configurations and security information
  • Configure vector databases and enterprise search technologies that support the ATO Automation Platform's compliance knowledge graph
  • Monitor AI model performance and accuracy of generated compliance artifacts, implementing continuous improvement processes
  • Deploy approved LLM models in restricted environments including air-gapped networks and classified systems
  • Deploy and configure open-source Llama model in air-gapped DoD environment for processing IL5 system configurations
  • Fine-tune Claude Sonnet prompts to generate control implementation descriptions matching agency-specific SSP format requirements
  • Build custom RAG knowledge base incorporating customer's 500+ security policies and standard operating procedures
  • Implement data sanitization pipelines to redact classified markings before AI processing
  • Optimize vector embedding strategies to improve the ATO Automation Platform's accuracy in mapping code configurations to NIST 800-171 controls

What you need to have
  • Bachelor's Degree with a Technical concentration with at least 10 years of professional experience
  • TS/SCI with an active Poly clearance
  • Strong experience with Large Language Models and generative AI technologies (GPT-4, Claude, Llama)
  • Proficiency in implementing Retrieval-Augmented Generation (RAG) architectures
  • Experience with vector databases and semantic search technologies
  • Programming proficiency in Python for AI/ML workflows and automation
  • Understanding of prompt engineering and LLM fine-tuning techniques
  • Knowledge of secure AI/ML deployment practices and data handling
  • Experience with cloud-based AI services (AWS Bedrock, Azure OpenAI) and their government cloud implementations
  • Understanding of cybersecurity principles and secure software development

What we'd like you to have
  • Experience deploying AI/ML models in classified or air-gapped environments
  • Knowledge of AI governance frameworks and ISO 42001 (AI management systems)
  • Familiarity with compliance automation use cases and security control frameworks
  • Experience with natural language processing (NLP) for technical documentation
  • Understanding of model evaluation metrics and AI accuracy assessment
  • Background in federal AI adoption requirements and responsible AI principles
  • Certifications: AWS Machine Learning Specialty, Azure AI Engineer, TensorFlow Developer
  • Experience with containerized AI deployments and MLOps practices

About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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