1

Vector Ai Jobs in Iowa (NOW HIRING)

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color ...

Adobe Illustrator Tutor

Ames, IA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color ...

AI Solutions Engineering Delivery Lead

Des Moines, IA · On-site

$100K - $131K/yr

The Opportunity : The AI Solutions Engineering Delivery Lead will oversee multiple ... SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms ...

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

Data Scientist - R&D (AI/ML)

Ames, IA · On-site

$90 - $120/hr

This role requires expertise in Databricks, modern AI frameworks, vector databases, and Microsoft Copilot technologies to build scalable, production-ready AI applications and intelligent automation ...

ERP AI Engineer - Manager

Des Moines, IA · 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 ...

next page

Showing results 1-20

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 Iowa?

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

What cities in Iowa are hiring for Vector Ai jobs?

Cities in Iowa with the most Vector Ai job openings:

Principal AI Architect - Cloud & Security

Professional Project Partners, Inc

Des Moines, IA • On-site

$170K - $185K/yr

Full-time

Re-posted 6 days ago


Job description

Job Description P3+Uplift has partnered with a highly innovative Midwest-based enterprise organization in their search for a Principal Architect to help shape and scale next-generation AI capabilities across the business. This role will focus on driving AI-native architecture initiatives supporting areas such as enterprise productivity, product innovation, operational efficiency, and intelligent workflow automation. This is a rare opportunity to join a highly visible innovation-focused team where you'll help rapidly prototype, experiment, and architect scalable AI solutions from concept through production in a modern cloud-first environment.

What You'll Be Doing: Lead the architecture and design of enterprise AI and cloud-native solutions Design and scale RAG pipelines, vector search systems, and LLM evaluation frameworks Build and guide AI agent architectures using modern orchestration frameworks such as LangChain, AutoGen, or similar technologies Develop secure and scalable AI-enabled platforms leveraging cloud-native architectures and modern engineering practices Integrate enterprise AI technologies including Claude, ChatGPT Enterprise, Copilot, and related AI tooling Collaborate closely with architects, platform engineers, security teams, and business stakeholders to define future-state AI capabilities Establish governance, observability, security, and intentional AI standards across solutions and platforms Lead technical strategy discussions around cloud security, enterprise integrations, and AI platform architecture Mentor architects and engineering teams while helping drive innovation and technical excellence across the organization What We're Looking For: Deep architecture and cloud engineering experience across enterprise-scale environments Strong understanding of AI/LLM technologies, vector databases, retrieval systems, and modern AI frameworks Experience designing secure cloud-native platforms and distributed systems Hands-on experience with AWS, Azure, or GCP cloud environments Strong background in security architecture, secure coding practices, and cloud governance Experience with SQL and NoSQL database technologies Ability to influence technical strategy and communicate effectively with both technical and business leadership Someone who thrives in fast-moving, innovative environments and enjoys solving complex technical challenges Why This Opportunity Stands Out: Opportunity to shape enterprise AI architecture strategy from the ground up Work on cutting-edge AI, cloud, and intelligent automation initiatives Highly visible role with influence across engineering and technology leadership Collaborative environment focused on innovation, experimentation, and modern engineering practices Opportunity to mentor and guide engineering teams while establishing enterprise architecture standards Strong long-term growth potential within a stable and technology-focused organization If you're passionate about AI architecture, cloud innovation, and helping enterprises build intelligent next-generation platforms, we'd love to connect with you.