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Relational Ai Jobs (NOW HIRING)

About Saris AI We're a San Francisco & Montreal based applied AI startup that's building the future ... Strong background in relational + non-relational databases (PostgreSQL, Redis) * API design chops ...

Integrate relational and vector databases to support application and AI workflows. Collaborate with AI engineers to integrate models and agentic workflows. Ensure secure, scalable, and maintainable ...

Boson AI is pioneering the future of enterprise AI, focusing on delivering high-quality, reliable ... relational (NoSQL) database systems. • Implement robust third-party authentication and ...

Proficiency with SQL for querying, analyzing, and integrating data from relational databases ... Building AI-powered applications, automations, agents, or workflow tools. * Developing or ...

New

Experience implementing solutions involving workflow orchestration, relational databases (RDBMS ... Familiarity with AI frameworks such as LangChain, Haystack, Semantic Kernel, or similar

Senior Data & AI Solutions Architect

$68.75 - $92/hr

... Knowledge of relational (e.g., PostgreSQL), NoSQL, NewSQL, and vector/LLM databases • ... of agentic AI systems or multi-model orchestration pipelines in enterprise environments • 12 ...

AI AWS Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

AI AWS Data Engineer - Unstructured Data & Document Processing Location: Detroit, MI Position ... Store extracted data into relational databases, JSON document stores, and vector databases.

New

AI Production Support Engineer

$43 - $56/hr

The AI Production Support Engineer role focuses on applying Artificial Intelligence to enhance ... relational and non-relational) • Excellent communication skills and ability to work with ...

Java Developer with AI Experience

Phoenix, AZ · On-site

$50.75 - $65.50/hr

Java Developer with AI Experience Location: Phoenix, AZ (Day 1 onsite Hybrid 3 days a week in ... Experience with relational databases (PostgreSQL). Experience with NoSQL databases (MongoDB). Solid ...

Job Role- AI Engineer Location- Reston, VA Full-Time role Position Summary We are seeking an AI ... Practical knowledge of relational databases, SQL, schema design, and data modeling. Experience ...

Junior AI Developer

Memphis, TN · On-site

$59K - $77K/yr

... relational data, and the ability to experiment, evaluate, and iterate toward scalable, cost ... AI features. Required Skills: * Proficiency in Python, including experience with modern practices ...

BigBear.ai is seeking a Database Engineer (DBE) to join our team and support the development and ... Familiarity with relational and non-relational databases, including Oracle, Postgres, MongoDB, and ...

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

... relational datasets. • Establish standards for model evaluation, observability, and responsible AI -- including documentation, reproducibility, and guardrails for LLM and agent systems. • 14-15 ...

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... large relational datasets. • Establish standards for model evaluation, observability, and responsible AI - including documentation, reproducibility, and guardrails for LLM and agent systems.

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Relational Ai information

See salary details

$40.5K

$150.9K

$265K

How much do relational ai jobs pay per year?

As of Jul 15, 2026, the average yearly pay for relational ai in the United States is $150,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $164,500.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Relational AI Engineer, and why are they important?

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.

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 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.

More about Relational Ai jobs
What cities are hiring for Relational Ai jobs? Cities with the most Relational Ai job openings:
What states have the most Relational Ai jobs? States with the most job openings for Relational Ai jobs include:
Infographic showing various Relational Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $150,928 per year, or $72.6 per hour.

Python Developer | AI & Copilot Studio

TSG Risk Management

New York, NY • On-site

$100K/yr

Contractor

Posted 29 days ago


Job description

Python Developer - AI & Copilot Studio
Location: New York City, NY (Hybrid)
Salary: $100,000
Employment Type: Full-Time
Work Authorization: Candidates must be authorized to work in the United States without current or future sponsorship.
Overview
We are seeking a Python Developer to join our technology team and support the development of business applications, automation solutions, and AI-driven initiatives. This role will be responsible for building and maintaining Python-based applications, integrating third-party services, and supporting Microsoft Copilot Studio solutions to enhance productivity and business processes.
The ideal candidate will have strong Python development experience, a solid understanding of software engineering principles, and hands-on experience working with AI-powered tools, automation platforms, or Copilot Studio.
Responsibilities
  • Write effective, scalable, and maintainable Python code.
  • Develop back-end components to improve application responsiveness and overall performance.
  • Integrate user-facing elements into applications.
  • Design, develop, test, and deploy Python-based applications and services.
  • Build and maintain integrations with APIs, databases, and third-party platforms.
  • Configure and support Microsoft Copilot Studio solutions, including conversational agents and workflow automations.
  • Collaborate with business and technical stakeholders to identify opportunities for AI-driven process improvements.
  • Test, debug, and troubleshoot software applications.
  • Improve functionality and performance of existing systems.
  • Implement security and data protection best practices.
  • Assess and prioritize feature requests and enhancement opportunities.
  • Document technical designs, processes, and application functionality.
Required Qualifications
  • 3+ years of professional Python development experience.
  • Experience developing web applications, APIs, or backend services using Python.
  • Experience with at least one Python framework such as Django, Flask, FastAPI, or similar.
  • Experience integrating applications with REST APIs and external services.
  • Exposure to AI-powered tools, generative AI solutions, chatbots, or intelligent automation platforms.
  • Experience with Microsoft Copilot Studio.
  • Knowledge of object-relational mapping (ORM) concepts and database design.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration abilities.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent experience.
Preferred Qualifications
  • Experience with Microsoft Power Platform, including Power Automate and Power Apps.
  • Experience working with Azure cloud services.
  • Familiarity with Azure OpenAI, Microsoft AI services, or large language model (LLM) integrations.
  • Experience developing conversational AI or chatbot solutions.
  • Knowledge of SQL and relational databases.
  • Experience working in an Agile development environment.