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Relational Ai Jobs (NOW HIRING)

AI Fund

AI Engineer

Mountain View, CA · On-site

Database skills for relational, noSQL, graph, and vector databases. • Technical familiarity with machine learning and AI, particularly using LLM APIs and frameworks for things like tool calling ...

ECS

AI Expert

Memphis, TN · On-site

Everorth ECS is seeking a AI Expert to work hybrid in our Memphis, TN office or fully remote. Tasks ... Extensive understanding of Relational and Non-relational database. ( Postgres, Oracle, MongoDB ...

Indicium AI

Data Engineer Consultant - NYC

New York, NY · On-site

$125K - $150K/yr

About Indicium AI Indicium AI is trusted by the world's leading enterprises to deliver AI into ... Perform data ingestion/integration from various sources (relational and NoSQL databases, internal ...

Indicium AI

Data Engineer Consultant - NYC

New York, NY · On-site

$125K - $150K/yr

About Indicium AI Indicium AI is trusted by the world's leading enterprises to deliver AI into ... Perform data ingestion/integration from various sources (relational and NoSQL databases, internal ...

Crew Training International

AI Developer

Memphis, TN

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

Diverse Lynx

AI/ML Engineer

Secaucus, NJ · Remote

Job Role - AI/ML Engineer Location - Secaucus, NJ (Remote) Job Type: Contract Key Responsibilities ... Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL.

Spear AI

Full-Stack Engineer

Spear AI is seeking a versatile software developer who works across both the client-side and server ... in relational databases • Tailwind CSS • TypeScript • React / Next.js • Experience with ...

CTI

AI Developer

Memphis, TN · On-site +1

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

AssetWorks

AI / ML Engineer

Wayne, PA · On-site +1

Strong proficiency in PostgreSQL (or other relational databases) , including experience with relational schema design and ideally pgvector for managing vector embeddings. * Azure AI Ecosystem:

AssetWorks LLC

AI / ML Engineer

Wayne, PA · On-site

Strong proficiency in PostgreSQL (or other relational databases) , including experience with relational schema design and ideally pgvector for managing vector embeddings. * Azure AI Ecosystem:

AssetWorks

AI / ML Engineer

Wayne, PA · On-site +1

Strong proficiency in PostgreSQL (or other relational databases) , including experience with relational schema design and ideally pgvector for managing vector embeddings. * Azure AI Ecosystem:

AssetWorks LLC

AI / ML Engineer

Wayne, PA · On-site

Strong proficiency in PostgreSQL (or other relational databases) , including experience with relational schema design and ideally pgvector for managing vector embeddings. * Azure AI Ecosystem:

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Relational Ai information

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$40.5K

$150.9K

$265K

How much do relational ai jobs pay per year?

As of Jun 9, 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:
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What job categories do people searching Relational Ai jobs look for? The top searched job categories for Relational Ai jobs are:
Relational Ai jobs near you
Infographic showing various Relational Ai job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $150,928 per year, or $72.6 per hour.
Director of Artificial Intelligence (Integration & Optimization)

Director of Artificial Intelligence (Integration & Optimization)

Bealls

Bradenton, FL • On-site

Full-time

Medical, Retirement, PTO

Posted 11 days ago

Job description

ABOUT BEALLS INC.
If you're seeking a career with a company that encourages authenticity, rewards innovation and provides stability and work/life harmony, then Bealls Inc. is the place for you! At Bealls Inc., our associates have a shared responsibility to each other that has fueled our considerable retail industry success. Here you'll find a blend of tenured associates with deep company knowledge working alongside talents from national and international retailers, various industries, and recent graduates, all united by a shared vision.
WHO WE ARE:
  • We are a group of passionate people who utilize our unique talents to help our guests outfit their families for less.
  • We strive to hire and develop talented and diverse associates by fostering a culture of inclusion, respect and authenticity that benefits from and thrives on a wide range of skills, styles, backgrounds and experiences.
  • We believe we are better when we work together, leveraging collaboration and relationships throughout our organization and the broader retail industry to help accomplish our goals.
  • We are continuously pursuing solutions that address environmental impact and advance sustainable practices, while strengthening relationships with our communities, our associates, and our industry partners.
  • Practices that associates experience when joining include Authenticity, Acceptance, Accountability, Empowerment, Gratitude, Openness, Presence and Transparency.
WHY JOIN BEALLS INC.:
  • Location: Our corporate offices are in beautiful and sunny Bradenton, FL. We offer corporate associates the flexibility of hybrid work schedules, with variations by department.
  • Stability: We are a financially strong, multi-billion-dollar, growing organization that has been around for 110 years! We have over 650 retail stores across 22 states under bealls, Bealls Florida, and Home Centric store brands, along with 50 exclusive brands in our stores!
  • Benefits: We provide weekly pay and comprehensive benefits, health and wellness perks, including paid time off and retirement saving plans because associate well-being is a priority.
  • Growth: We focus on cultivating internal talent and educating new members of the organization through numerous training programs and learning tools. This is accomplished through continuous professional development at all levels in the classroom, in the field and on the job.
  • Connection: Surround yourself with others who find purpose, passion, and fulfillment in their work, with an organization that believes in making communities safer and healthier for generations to come.
Learn even more at www.beallsinc.com/beallsinc/careers
Director, Artificial Intelligence - Integration & Optimization
IMPACT ON BUSINESS:
Bealls, Inc. is seeking a hands-on , technically deep Director of AI Integration & Optimization to help design, operationalize, and scale the company's enterprise AI strategy. This role is a hands-on/managerial role that will need to pair real-world AI/ML engineering expertise with the managerial presence to influence stakeholders and drive adoption across a multi-billion-dollar retail organization.
As Bealls' AI pioneer, this leader will implement the company's AI operating model, deliver high-impact use cases in the first year, and enhance the governance, evaluation, and adoption frameworks needed to convert experimentation into measurable business outcomes. The role will help build and lead a dedicated AI team as organizational maturity scales. Partnering across Enterprise retail environment, the Director will embed AI capabilities into the fabric of the business, accelerating decision-making, efficiency, and growth.
Role Overview
We are seeking a technically strong AI leader to:
• Execute the enterprise AI strategy.
• Evolve AI governance, evaluation, adoption, and activation frameworks.
• Deliver measurable, high-ROI AI use cases.
• Guide senior leaders and cross-functional teams in leveraging AI responsibly and effectively.
Key Responsibilities:
Immediate (First 6-12 Months)
• Create and configure the AI environment framework
• Deliver 3-5 scalable AI use cases (e.g., forecasting, service optimization, pricing, inventory).
• Create evaluation frameworks for LLM and ML performance, including safety and bias controls.
• Establish dashboards and KPI tracking for AI adoption, productivity, and value realization.
• Educate within the communities of practice and provide hands-on functional training programs.
Ongoing Leadership
• Drive enterprise-wide change enablement and adoption.
• Lead cross-functional alignment with Security, Legal, Procurement, Data, and Technology.
• Build and scale an AI team as organizational readiness expands.
Required Qualifications
• 5+ years in AI/ML, Data Science, or advanced analytics roles.
• Experience with both Microsoft and Snowflake AI toolsets. (Snowflake Cortex and Relational AI) ML and Knowledge Graph is a must.
• Proven ability to build and scale AI systems with hands-on engineering expertise.
• Demonstrated ability to debug, evaluate, and optimize LLMs and ML models.
• Experience deploying AI use cases in operational environments (not just POCs).
• Strong understanding of AI governance, explainability, risk frameworks, and model monitoring.
• Comfortable operating in a small team environment.
Preferred Qualifications
• Experience with agentic AI systems and emerging AI technologies.
• Hands-on experience with MLOps, vector databases, retrieval systems, and evaluation pipelines.
• Background integrating AI into legacy environments while transitioning to modern architecture.
• Bachelor's or advance degree in AI, computer science, data science, engineering, or related fields.
• Experience building AI literacy and enablement programs.
When it comes to finding the right fit, we know there is a lot to consider. Our recruiters are here to help you discover the career fit you're looking for. Thank you again for your interest in Bealls Inc. and we look forward to hearing from you!
For more information, check out:
www.beallsinc.com
www.bealls.com
www.beallsflorida.com
www.homecentric.com

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