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Relational Ai Jobs in Indiana (NOW HIRING)

$55K - $65K/yr

Use approved AI-assisted tools, where appropriate, to support test planning, defect analysis ... Working knowledge of SQL, relational databases, and database concepts. * Experience with client ...

SQL Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain relational database concepts, entity-relationship modeling, and query ...

SQL Tutor

West Lafayette, IN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain relational database concepts, entity-relationship modeling, and query ...

SQL Tutor

Indianapolis, IN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain relational database concepts, entity-relationship modeling, and query ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... relational data models, creating DAX measures, designing interactive reports, and publishing ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... relational data models, creating DAX measures, designing interactive reports, and publishing ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... relational data models, creating DAX measures, designing interactive reports, and publishing ...

SQL Tutor

Bloomington, IN · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain relational database concepts, entity-relationship modeling, and query ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... relational data models, creating DAX measures, designing interactive reports, and publishing ...

Showing results 21-40

Relational Ai information

See Indiana salary details

$38.5K

$143.6K

$252.2K

How much do relational ai jobs pay per year?

As of Sep 2, 2026, the average yearly pay for relational ai in Indiana is $143,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a Relational AI engineer?

A Relational AI Engineer is a professional who designs, develops, and maintains artificial intelligence systems that utilize relational data models. They focus on leveraging structured data and relationships within databases to create intelligent applications, often using advanced machine learning and knowledge graph technologies. These engineers work closely with data scientists and analysts to build scalable AI solutions that enhance data connectivity and reasoning. Their role is crucial in organizations that rely heavily on complex data relationships, such as finance, healthcare, and enterprise software.

What are the key skills and qualifications needed to thrive as a Relational AI engineer?

To thrive as a Relational AI Engineer, you need a strong background in computer science, relational databases, and machine learning concepts, often supported by a relevant degree. Familiarity with SQL, relational database management systems (RDBMS), Python, and AI/ML frameworks like TensorFlow or PyTorch is typically required. Analytical thinking, problem-solving skills, and effective communication are crucial soft skills for collaborating with teams and translating business needs into technical solutions. These skills and qualities are essential for designing and deploying intelligent systems that leverage relational data to drive meaningful business outcomes.

How does a Relational AI engineer typically collaborate with data scientists and business stakeholders on projects?

A Relational AI Engineer works closely with data scientists to design and optimize data models, ensuring that advanced analytics and machine learning workflows are both efficient and scalable. They also interact frequently with business stakeholders to understand requirements and translate them into actionable data solutions. Collaboration often involves regular cross-functional meetings, shared project management tools, and iterative feedback cycles to refine data products. This collaborative environment helps ensure that solutions are both technically robust and aligned with business goals.

What is the difference between Relational Ai vs Data Analyst?

AspectRelational AiData Analyst
Required CredentialsBackground in AI, machine learning, programming (Python, SQL)Degree in statistics, data science, or related field
Work EnvironmentTech companies, AI research labs, software developmentBusiness, finance, healthcare, and other industries
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding AI-focused roles, skills, and toolsAnalyzing data, generating reports, insights

Relational Ai primarily focuses on developing and implementing AI systems that understand and process relational data, often requiring programming and machine learning expertise. Data Analysts interpret data to provide business insights, using statistical tools and data visualization. While both roles work with data, Relational Ai is more technical and AI-driven, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Relational Ai jobs in Indiana?

For Relational Ai jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Relational Ai jobs in Indiana look for?

The top searched job categories for Relational Ai jobs in Indiana are:

What cities in Indiana are hiring for Relational Ai jobs?

Cities in Indiana with the most Relational Ai job openings:

Cyber Forward Deployed Engineer - Senior Consultant

Deloitte

Indianapolis, IN

Full-time

Posted 24 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture. 

Recruiting for this role ends on 12/31/2026. 

Work you will do: 

As a Cyber Forward Deployed Engineer (FDE) Sr Consultant, you will drive delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability. 

Solution Delivery & Engineering (Primary Focus) 

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture 
  • Identify, troubleshoot, and resolve technical issues within scope 

Pre-Sales & Deal Shaping 

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes 
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility. 
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability. 

Customer Delivery Leadership 

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience. 
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback. 
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes. 
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements 

Product Feedback & Continuous Improvement 

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs. 
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks. 

The Team 

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today. 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 
  • Limited immigration sponsorship may be available. 
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve. 

We require5+ years of experiencefor all areas below: 

  • Hands-on experience in full stack development across frontend and backend technologies. 
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js). 
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot). 
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). 
  • Experience building and integrating REST APIs, microservices, and serverless architectures. 
  • Experience conducting code reviews and guiding teams on best practices. 
  • Experience delivering and scaling applications on AWS, Azure, or GCP. 
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps). 

We require1+ years of experiencefor all areas below: 

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems. 
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions. 

Client-Facing & Delivery Ownership 

  • 5+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs. 
  • 5+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals. 
  • 5+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions. 
  • 5+ Years experience articulating technical concepts, risks, and trade-offs. 
  • 5+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes. 

Preferred Qualifications 

  • Anthropic experience and/or certification STRONGLY preferred 
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering). 
  • Experience with DevSecOps practices and secure software development lifecycle. 
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j). 
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns. 
  • Cloud certifications (AWS, Azure, GCP). 
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch). 

Compensation 
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 - $265,100. 

#CyberCtBEngg 

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture. 

Recruiting for this role ends on 12/31/2026. 

Work you will do: 

As a Cyber Forward Deployed Engineer (FDE) Sr Consultant, you will drive delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability. 

Solution Delivery & Engineering (Primary Focus) 

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture 
  • Identify, troubleshoot, and resolve technical issues within scope 

Pre-Sales & Deal Shaping 

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes 
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility. 
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability. 

Customer Delivery Leadership 

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience. 
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback. 
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes. 
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements 

Product Feedback & Continuous Improvement 

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs. 
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks. 

The Team 

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today. 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 
  • Limited immigration sponsorship may be available. 
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve. 

We require5+ years of experiencefor all areas below: 

  • Hands-on experience in full stack development across frontend and backend technologies. 
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js). 
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot). 
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). 
  • Experience building and integrating REST APIs, microservices, and serverless architectures. 
  • Experience conducting code reviews and guiding teams on best practices. 
  • Experience delivering and scaling applications on AWS, Azure, or GCP. 
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps). 

We require1+ years of experiencefor all areas below: 

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems. 
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions. 

Client-Facing & Delivery Ownership 

  • 5+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs. 
  • 5+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals. 
  • 5+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions. 
  • 5+ Years experience articulating technical concepts, risks, and trade-offs. 
  • 5+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes. 

Preferred Qualifications 

  • Anthropic experience and/or certification STRONGLY preferred 
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering). 
  • Experience with DevSecOps practices and secure software development lifecycle. 
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j). 
  • Knowledge of Kubernetes, GitOps, or advanced cloud-na...

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