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Vector Manager Jobs in Chicago, IL (NOW HIRING)

Senior AI ML Engineer

Chicago, IL · On-site

$120K - $130K/yr

Python; model serving frameworks and API development such as FastAPI/MLflow; vector databases and ... management; mentor and promote responsible AI governance. Generic Managerial Skills, If any ...

Senior Data AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

Design and implement vector databases, embedding pipelines, and knowledge graph structures that ... Solid experience managing diverse data sources including preprocessing, cleansing, and verifying ...

Lead AI/Python Developer

Chicago, IL · On-site

$144K - $177K/yr

Build and manage API-based data pipelines for real-time and batch data processing. * Ensure robust ... Hands-on experience with LangChain, LlamaIndex, CrewAI, and Vector Databases. * Expertise in cloud ...

New

Lead AI/Python Developer

Chicago, IL · On-site

$144K - $177K/yr

Build and manage API-based data pipelines for real-time and batch data processing. * Ensure robust ... Hands-on experience with LangChain, LlamaIndex, CrewAI, and Vector Databases. * Expertise in cloud ...

New

Senior AI ML Engineer

Chicago, IL · On-site

$120K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Python; model serving frameworks and API development such as FastAPI/MLflow; vector databases and ... management; mentor and promote responsible AI governance. Generic Managerial Skills, If any ...

Someone who has run testing across multiple workstreams for Testing, driving testing vectors of ... Experienced managing QA team of individual contributors spread across multiple programs

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 ...

Knowledge Engineer - Back End

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will work across the full back-end stack - architecting APIs, building data pipelines, managing ... Deploy, configure, and maintain vector database infrastructure for embedding storage, indexing, and ...

... vector databases, and cloud-native AI services. The role involves building scalable AI applications ... management skills. · Ability to work independently and within distributed Agile teams. Top of Form ...

Showing results 41-60

Vector Manager information

See Chicago, IL salary details

$28.3K

$84.1K

$141.6K

How much do vector manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for vector manager in Chicago, IL is $84,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $120,000.00 per year, depending on experience, location, and employer.

What is the difference between Vector Manager vs Data Analyst?

AspectVector ManagerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; experience with vector databasesBachelor's in Statistics, Mathematics, or related; proficiency in data analysis tools
Work EnvironmentTech companies, AI firms, data-driven organizationsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in AI, machine learning, and data management industriesCommon in business intelligence, market research, and analytics
Search & Comparison IntentUnderstanding roles in data management and AI projectsComparing data analysis roles and responsibilities

The Vector Manager focuses on managing vector databases and AI data structures, often requiring technical expertise in data storage and machine learning. In contrast, Data Analysts interpret data to provide insights, primarily working with statistical tools. While both roles involve data, their focus, skills, and industry applications differ significantly.

What are the most commonly searched types of Vector jobs in Chicago, IL? The most popular types of Vector jobs in Chicago, IL are:

Senior AI ML Engineer

Northern Base

Chicago, IL • On-site

$120K - $130K/yr

Full-time

Posted 13 days ago


Job description

Job Description
Must Have Technical/Functional Skills
Databricks and Azure AI Foundry must-have; ML engineering/Applied AI; production ML deployment; RAG and Agentic AI systems; Python; model serving frameworks and API development such as FastAPI/MLflow; vector databases and embeddings; LangChain/LlamaIndex or similar orchestration; CI/CD; containerization; cloud deployment; predictive ML and agentic evaluation; MLOps/model monitoring preferred; regulated/high-compliance environments preferred.
Roles & Responsibilities
Design, build, and deploy AI/ML solutions; lead full AI lifecycle from experimentation to production; build ML models and LLM-powered RAG/agent systems; translate business challenges into AI solutions and KPIs; design embeddings/vector search and orchestration patterns; own end-to-end implementation, deployment, and operations; evaluate performance with automated and human-in-the-loop methods; optimize latency, cost, scalability, reliability; implement CI/CD, MLOps, monitoring, drift detection, retraining, lifecycle management; mentor and promote responsible AI governance.
Generic Managerial Skills, If any
Autonomous ownership; mentoring; architecture influence; curiosity and emerging-AI mindset; cross-functional collaboration.