1

Vector Ai Jobs in Indiana (NOW HIRING)

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Experience with RAG systems, vector databases, and semantic search * Understanding of Model Context Protocol (MCP) and AI agent integration patterns * Proficiency in programming languages such as ...

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Experience with RAG systems, vector databases, and semantic search * Understanding of Model Context Protocol (MCP) and AI agent integration patterns * Proficiency in programming languages such as ...

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Experience with RAG systems, vector databases, and semantic search * Understanding of Model Context Protocol (MCP) and AI agent integration patterns * Proficiency in programming languages such as ...

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Contributing to innovation through experimentation with foundation models, vector databases, and optimization techniques. Experience needed for our Principal AI Engineer include: * A Bachelor ...

Principal AI Systems Engineer

Auburn, IN · On-site

$170K - $190K/yr

Implementing RAG pipelines, vector search, embeddings, and AI orchestration frameworks that power the entire internal AI toolkit * Reducing knowledge silos, duplicated work, and dependency on tribal ...

Principal AI Systems Engineer

Auburn, IN · On-site +1

$170K - $190K/yr

Implementing RAG pipelines, vector search, embeddings, and AI orchestration frameworks that power the entire internal AI toolkit * Reducing knowledge silos, duplicated work, and dependency on tribal ...

AI Solutions Architect - Healthcare

Indianapolis, IN · On-site

$60.25 - $79.25/hr

... embeddings, vector databases, orchestration frameworks, memory/state patterns, and tool-use ... Join our AI & Engineering team in transforming technology platforms, driving innovation, and ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

next page

Showing results 1-20

Vector Ai information

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.
What are popular job titles related to Vector Ai jobs in Indiana? For Vector Ai jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Vector Ai jobs? Cities in Indiana with the most Vector Ai job openings:
Cyber Security Framework Engineer - Remote

Cyber Security Framework Engineer - Remote

micro1 AI

Indianapolis, IN • Remote

$50 - $90/hr

Part-time

Posted 15 days ago


Job description

Role Title: Red Team Lead (Offensive Cybersecurity)


Role Type: Contractor


Location: Remote


micro1 is engaging Red Team Leads (Offensive Cybersecurity) to contribute expertise to a customer's critical cybersecurity project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Develop comprehensive taxonomies for cyber-capability tasks and attack stages relevant to modern threat landscapes.
  2. Design and validate evaluation frameworks for offensive security, focusing on real-world scenarios involving exploit chains, malware, cloud/appsec, and social engineering.
  3. Create safe and effective proxy tasks to simulate advanced attack vectors while maintaining strict boundaries and ethical controls.
  4. Formulate robust scoring rubrics to assess attack sophistication, coverage, and impact across diverse domains.
  5. Review, critique, and enhance benchmarks for red team operations to ensure alignment with evolving security risks and best practices.
  6. Produce clear, well-documented methodologies and technical write-ups, communicating complex security concepts to both technical and non-technical audiences.
  7. Collaborate asynchronously with project stakeholders to iterate on frameworks and incorporate feedback into deliverables.


Preferred Qualifications

  1. 5+ years of hands-on experience in offensive cybersecurity, red teaming, exploit development, or vulnerability research (8–20 years preferred for senior contributors).
  2. Track record as a principal security engineer, exploit developer, cloud red-team lead, malware reverse-engineer, or security researcher specializing in attack chains or social engineering.
  3. Deep expertise in cyber attack methodologies, exploit chains, and cloud/application security assessments.
  4. Strong background in malware analysis, reverse engineering, and/or social engineering tactics and defenses.
  5. Demonstrated ability to produce clear, actionable written and verbal communication for a variety of audiences.
  6. Advanced degree, relevant professional security certifications, or equivalent operational experience highly valued.
  7. Experience building benchmarking or evaluation frameworks in cybersecurity is a plus.