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Vector Ai Jobs in Indiana (NOW HIRING)

DwyerOmega

Engineer: AI

Michigan City, IN · On-site

$70K - $80K/yr

Develop RAG solutions using vector databases and enterprise knowledge sources. * Integrate AI solutions with ERP, CRM, Microsoft Fabric, Azure, APIs, and databases. * Design secure automation ...

Deloitte

Google AI Lead Architect

Indianapolis, IN · On-site

$52.75 - $72.50/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 ...

Allied Solutions LLC

Senior AI Architect

Carmel, IN · On-site

... LLMs, vector databases, RAG architecture, federated learning). • Evaluate new tools and ... within the AI team. • Share technical insights and best practices through workshops ...

Allied Solutions LLC

Senior AI Architect

Carmel, IN · On-site

... approaches, vector databases, integration approaches, and automation tools where needed to ... AI requirements, or emerging AI capabilities require senior technical judgment. • Mentor ...

Allied Solutions LLC

Senior AI Architect

Carmel, IN · On-site

Evaluate AI services, frameworks, platforms, orchestration patterns, model evaluation approaches, vector databases, integration approaches, and automation tools where needed to establish practical ...

Allied Solutions LLC

Senior AI Architect

Carmel, IN · On-site

Evaluate AI services, frameworks, platforms, orchestration patterns, model evaluation approaches, vector databases, integration approaches, and automation tools where needed to establish practical ...

EXOS

Director of AI

Indianapolis, IN

Strong data architecture skills (structured and unstructured), pipeline design, vector stores, and ... You translate AI capability into measurable client outcomes. You prioritize client value over ...

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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 job categories do people searching Vector Ai jobs in Indiana look for? The top searched job categories for Vector Ai jobs in Indiana are:
What cities in Indiana are hiring for Vector Ai jobs? Cities in Indiana with the most Vector Ai job openings:
Vector Ai jobs near you

Engineer: AI

DwyerOmega

Michigan City, IN • On-site

$70K - $80K/yr

Full-time

Posted 5 days ago

Job description

Description:

Position Summary

We are seeking an AI Engineer to design, build, and deploy Agentic AI solutions leveraging the enterprise Data Lake and modern AI platforms. The role will focus on developing autonomous AI agents, integrating enterprise systems, orchestrating workflows, and delivering intelligent automation across Finance, Supply Chain, Operations, and other business functions.

Key Responsibilities

  • Design and develop Agentic AI solutions using LLMs, AI frameworks, and orchestration platforms.
  • Build AI agents that retrieve, reason over, and act on enterprise data stored in the Data Lake.
  • Develop RAG solutions using vector databases and enterprise knowledge sources.
  • Integrate AI solutions with ERP, CRM, Microsoft Fabric, Azure, APIs, and databases.
  • Design secure automation workflows for approvals, journal entries, document processing, and operational processes.
  • Develop Python services, REST APIs, and event-driven integrations.
  • Implement monitoring, guardrails, prompt engineering, and model evaluation.
  • Collaborate with Data Engineering, BI, Security, and Business stakeholders.
  • Document architecture, standards, and reusable AI components.


Requirements:

Qualifications & Education

  • Bachelor's degree in Computer Science, AI, Data Engineering, or related field.
  • 3+ years developing AI/ML or software solutions.
  • Experience with Azure AI, Microsoft Fabric, Azure OpenAI, or similar cloud AI platforms.
  • Strong Python, SQL, REST API, and Git skills.
  • Knowledge of LLMs, RAG, vector databases, LangChain, Semantic Kernel, AutoGen, CrewAI, or similar frameworks.
  • Experience with Data Lakes, Spark, ETL/ELT, and enterprise integrations.
  • Understanding of AI governance, security, and responsible AI.

Preferred Skills

  • Experience integrating SAP, Oracle, Dynamics, or other ERP systems.
  • Knowledge of Power BI, Microsoft Copilot Studio, Power Platform, and automation tools.
  • Experience with CI/CD, Docker, Kubernetes, and Azure DevOps.
  • Exposure to multi-agent systems and workflow orchestration.

What We're Looking For

  • Innovative problem solver.
  • Strong communication and stakeholder engagement.
  • Ability to translate business problems into AI solutions.
  • Passion for automation and continuous improvement.

Work Conditions

Hybrid/remote work with occasional travel. Participation in after-hours deployments may be required.