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Senior Redis Jobs in Iowa (NOW HIRING)

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Senior Redis information

What is the difference between Senior Redis vs Redis Developer?

AspectSenior RedisRedis Developer
Required CredentialsExperience with Redis, certifications like Redis Certified DeveloperProficiency in Redis, coding skills, possibly certifications
Work EnvironmentDesigning, optimizing Redis infrastructure, overseeing team projectsDeveloping, implementing Redis solutions, writing Redis-related code
Industry UsageUsed in enterprise data caching, real-time analyticsUsed in application development, backend systems
Search & Comparison IntentUnderstanding senior-level roles, responsibilities, and skillsLearning about Redis development tasks and skills

Senior Redis professionals typically focus on designing and optimizing Redis infrastructure, often overseeing teams and projects, while Redis Developers concentrate on coding, implementing, and maintaining Redis solutions within applications. Both roles require strong Redis knowledge, but senior roles emphasize leadership and architecture, whereas developers focus on hands-on development tasks.

What are the most commonly searched types of Redis jobs in Iowa?

The most popular types of Redis jobs in Iowa are:

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For Senior Redis jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Senior Redis jobs in Iowa look for?

The top searched job categories for Senior Redis jobs in Iowa are:

Senior Redis jobs near you

Senior AI Solutions Architect

Vultus Inc

Des Moines, IA

Full-time

Posted 27 days ago

Job description

Senior AI Solutions Architect

Job Summary

We are seeking an experienced Senior AI Solutions Architect to design, develop, and implement enterprise-scale AI and Generative AI solutions. The ideal candidate will have strong expertise in cloud architecture, large language models (LLMs), machine learning, API integrations, and modern software engineering practices. You will collaborate with cross-functional teams to deliver secure, scalable, and high-performance AI applications that solve real business challenges.

Key Responsibilities
  • Design and implement scalable AI/ML and Generative AI architectures.
  • Develop AI-powered applications using LLMs and Retrieval-Augmented Generation (RAG).
  • Integrate AI solutions with enterprise applications and third-party APIs.
  • Build vector databases and semantic search capabilities.
  • Design secure, cloud-native architectures on AWS, Azure, or Google Cloud Platform.
  • Optimize AI model performance, scalability, and cost.
  • Collaborate with product managers, developers, and data scientists throughout the development lifecycle.
  • Ensure compliance with security, privacy, and governance standards.
  • Create technical documentation and architectural diagrams.
  • Mentor development teams and establish AI engineering best practices.
Required SkillsPrimary Skills
  • Python
  • Generative AI
  • Large Language Models (OpenAI, Claude, Gemini, Llama)
  • LangChain or LlamaIndex
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases (Pinecone, FAISS, Chroma, Weaviate)
  • Machine Learning
  • REST APIs
  • Docker
  • Kubernetes
  • AWS / Azure / Google Cloud Platform
  • Git
Secondary Skills
  • TensorFlow or PyTorch
  • MLOps
  • CI/CD Pipelines
  • Microservices Architecture
  • SQL & NoSQL Databases
  • Redis
  • Elasticsearch
  • Prompt Engineering
  • OAuth 2.0 / JWT Authentication
  • Agile/Scrum
Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
  • AI/Cloud certifications are a plus.
Experience

8–12 Years

Preferred Qualifications
  • Experience delivering enterprise AI products.
  • Hands-on experience with chatbot or AI assistant development.
  • Experience integrating AI with CRM, ERP, or HR platforms.
  • Strong understanding of AI governance and responsible AI practices.
  • Excellent communication and stakeholder management skills.