ZipRecruiter

Log In

1

Vector Ai Jobs in Ohio (NOW HIRING)

Total Quality Logistics

AI Architect

Cincinnati, OH · On-site

Experience with embeddings, vector databases, RAG patterns, LangChain, Semantic Kernel and MLflow ... AI Strategy & Enterprise Architecture * Evaluate and recommend AI models, APIs and platforms (e.g ...

TQL

AI Architect

Cincinnati, OH

$60.50 - $79.50/hr

Experience with embeddings, vector databases, RAG patterns, LangChain, Semantic Kernel and MLflow ... AI Strategy & Enterprise Architecture* Evaluate and recommend AI models, APIs and platforms (e.g ...

Deloitte

Google AI Architect

Columbus, OH

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Deloitte

Google AI Architect

Cleveland, OH · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Total Quality Logistics

AI Architect

Cincinnati, OH · On-site

Experience with embeddings, vector databases, RAG patterns, LangChain, Semantic Kernel and MLflow ... AI Strategy & Enterprise Architecture * Evaluate and recommend AI models, APIs and platforms (e.g ...

Deloitte

Google AI Architect

Cincinnati, OH · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

RIT Solutions, Inc.

Senior AI Engineer

Mason, OH · On-site

$98K - $134K/yr

... vector databases • Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain • Integrate AI systems with APIs, backend services, and cloud platforms • ...

Lorven Technologies

AI Engineer

Columbus, OH · On-site

Experience building AI-powered applications using vector databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.). * Strong knowledge of prompt engineering, embeddings, model evaluation, and fine-tuning.

Lorven Technologies, Inc.

AI Engineer

Columbus, OH · On-site

Experience building AI-powered applications using vector databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.). * Strong knowledge of prompt engineering, embeddings, model evaluation, and fine-tuning.

Cryptic Vector

DSP/VHDL Engineer

West Chester, OH · On-site

$134K - $157K/yr

At Cryptic Vector, we are dedicated to mission success. We take the time to understand our ... AI/ML experience a plus Benefits & Perks As an Employee First company, we offer a comprehensive and ...

Cryptic Vector

DSP/VHDL Engineer

Liberty Township, OH

$134K - $157K/yr

Description At Cryptic Vector, we are dedicated to mission success. We take the time to understand ... AI/ML experience a plus Benefits & Perks As an Employee First company, we offer a comprehensive and ...

Deloitte

Google AI Lead Architect

Cincinnati, OH

$53 - $72.75/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

next page

Showing results 1-20

All JobsVector Ai JobsVector Ai Jobs in Ohio

Vector Ai information

What is a Vector AI?

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.

What are the key skills and qualifications needed to thrive as a Vector AI engineer?

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 are popular job titles related to Vector Ai jobs in Ohio?

For Vector Ai jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Vector Ai jobs in Ohio look for?

The top searched job categories for Vector Ai jobs in Ohio are:

What cities in Ohio are hiring for Vector Ai jobs?

Cities in Ohio with the most Vector Ai job openings:

Vector Ai jobs near you

AI Software Architect

Park Place Technologies

Highland Heights, OH • On-site

Full-time

Re-posted 5 days ago

Park Place Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

87th of 224 rated it services

Job description

AI Software Architect
The AI Software Architect is responsible for participating in all aspects of the software development life cycle from requirement gathering through user acceptance testing and implementation. In addition, this position will participate in the establishment and enforcement of programming patterns and standards, as well as provide mentorship to junior developers.
Responsibilities:
  • Collaborate with BAs and end users to interpret requirements into a technical design through onsite requirements gathering sessions, workshops, and solution design reviews.
  • Develop software according to end user requirements and quality standards.
  • Identify, document and implement programming patterns and set standards.
  • Perform code reviews to enforce patterns and standards in our code base while facilitating in-person knowledge sharing and architectural consistency across teams.
  • Lead POCs, design sessions, and pair programming efforts.
  • Mentor junior team members.
  • Participate in project planning and/or provide accurate estimates on projects/tasks through cross-functional planning meetings and stakeholder alignment discussions.
  • Participate in Story Card Grooming and Sprint Planning as requested.
  • Be available as needed to support production deployments.
  • Possess strong organizational and process analysis skills.
  • Effectively communicate both orally and in writing and manage multiple assignments and priorities.
  • Actively teach best practices and new technologies.
  • Hold teaching sessions at least once a year.
  • Facilitate daily standups and lead sprint demos as needed.
  • Assist managing the Azure DevOps task board as needed.
  • Assist with onboarding and training new resources.
  • Participate in interviews upon request.
  • Support, troubleshoot and resolve production issues, including facilitating in-person incident response discussions and cross-functional problem resolution when required.
  • Demonstrate willingness to work on your craft and take initiative in learning new skills.
  • Other duties as assigned.

Basic Qualifications:
  • Subject Matter Expert with Visual Studio, GIT and Azure DevOps
  • 10+ years of application development experience across the following technologies:
    • .Net Framework/Core
    • Angular
    • C#
    • JSON
    • SCSS/SASS
    • SQL
    • Test Driven Development/Unit Testing
    • Typescript, ES6
    • Web API/Rest
    • Agile Methodology
    • Asynchronous Programming
    • Azure Data Bricks
    • Azure Data Factory
    • Azure Functions
    • Azure Logic Apps
    • Azure PAAS
    • Browser Compatibility Testing
    • Cosmos DB
    • CQRS Pattern
    • Dependency Injection
    • Entity Framework & LINQ
    • MicroServices
    • OData
    • Python

In addition to core software architecture duties, this position will lead the design, integration, and governance of AI/ML-driven solutions across the application portfolio, ensuring responsible and scalable adoption of AI capabilities.
Additional Responsibilities
  • Architect and design solutions incorporating AI/ML components, including LLM-based features, intelligent automation, and predictive models.
  • Evaluate and select appropriate AI frameworks, models, and platforms (e.g., Azure AI/OpenAI services, LangChain, vector databases) based on business requirements and technical constraints.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and model orchestration patterns.
  • Establish patterns and standards for responsible AI use, including data privacy, model governance, bias mitigation, and explainability.
  • Collaborate with data engineering and data science teams to integrate AI/ML models into production applications and CI/CD pipelines.
  • Design scalable architectures for embedding generation, semantic search, and vector storage/retrieval.
  • Evaluate build-vs-buy tradeoffs for AI tooling and vendor platforms.
  • Monitor AI solution performance, cost, and accuracy in production, and drive continuous improvement.
  • Stay current on emerging AI/ML technologies, LLM capabilities, and industry best practices, and evangelize relevant advances to engineering teams.
  • Mentor developers on AI-assisted development tools and practices (e.g., AI coding assistants, automated testing/generation tools).
  • Partner with security and compliance teams to ensure AI solutions meet regulatory and data governance requirements.

Additional Basic Qualifications
  • Demonstrated experience architecting or building solutions using Large Language Models (LLMs) and generative AI.
  • Experience with prompt engineering, RAG architectures, and vector databases (e.g., Cosmos DB vector search, Pinecone, Azure AI Search).
  • Familiarity with AI/ML orchestration frameworks (e.g., LangChain, Semantic Kernel) and MLOps practices.
  • Working knowledge of Python-based AI/ML libraries and APIs (e.g., OpenAI SDK, Azure OpenAI, Hugging Face).
  • Understanding of responsible AI principles: data privacy, model bias, explainability, and governance.
  • Experience integrating AI capabilities into cloud-native (Azure) application architectures.

Education:
  • Bachelor's degree or higher in Computer Science or related degree is preferred.

Travel:
  • <5%

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by calling 1-877-778-8707.
Park Place Technologies is an Equal Opportunity Employer M/F/D/V.
Park Place Technologies has an in-house recruiting team that focuses exclusively on the hiring needs of our company. We are not currently accepting additional third-party agreements or unsolicited resumes. If you would like to be considered as a preferred partner with Park Place Technologies, please submit your detailed information to careers@parkplacetech.com. Any CVs submitted directly to hiring managers will be considered unsolicited and become the property of Park Place Technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

What Park Place Technologies employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply