ZipRecruiter

Log In

1

Relational Ai Jobs (NOW HIRING)

BigBear.ai

Database Engineer

Annapolis Junction, MD · On-site

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national ... relational and non-relational databases, including Oracle, Postgres, MongoDB, and Redis. • ...

Indicium AI

Databricks Data Engineer (Remote)

New York, NY · On-site +1

$120K - $160K/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 ...

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:

Guidehouse

AI Software Engineer

Experience with relational databases and SQL, such as PostgreSQL, MySQL, or Amazon Aurora ... Experience developing AI/ML-enabled applications, such as Retrieval-Augmented Generation (RAG ...

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:

Indicium AI

Databricks Data Engineer (Remote)

New York, NY · On-site +1

$120K - $160K/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 ...

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:

Instant Serve LLC

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

AI Data Engineer Location: Moline,IL Pay Rate:USD$ 60 .00 $ 65 .00 /hr.with benefits Key ... Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server ...

JAGGAER

Architect, Data AI

Durham, NC · On-site

$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.

NR Consulting

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 ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

AI Engineer Location: Reston, VA Duration: Fulltime Min Experience: 7+ yrs Position Summary We are ... Practical knowledge of relational databases, SQL, schema design, and data modeling. Experience ...

Saris AI

Staff Software Engineer

San Francisco, CA · On-site

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 ...

Boson AI

Frontend Engineer

Santa Clara, CA · On-site

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 ...

next page

Showing results 1-20

All JobsRelational Ai Jobs

Relational Ai information

See salary details

$40.5K

$150.9K

$265K

How much do relational ai jobs pay per year?

As of Jul 13, 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:
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 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.
Database Engineer

Database Engineer

BigBear.ai

Annapolis Junction, MD • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security and digital identity. They are seeking a Database Engineer to support the development and operation of advanced capabilities leveraging RF signal processing and geospatial analytics, focusing on database design, development, and optimization.
Responsibilities:
• Design & Develop Databases: Support database design, development, implementation, information storage, and retrieval activities.
• Analyze & Optimize Systems: Assist with the analysis and evaluation of system improvements, optimization, development, and maintenance efforts.
• Define Requirements: Develop long- and short-term requirements for database administration and design.
• Create Usable Solutions: Translate requirements and data into usable database schemas by creating ad hoc queries, scripts, and macros; update existing queries and create new ones to manipulate data into master files.
• Build Complex Systems: Develop database parser software, database loading software, and database structures that fit into the overall architecture of the system under development.
Qualifications:
Required:
• Bachelor’s degree in technical discipline from an accredited college or university. (Five years of additional DBE experience may be substituted for a Bachelor’s degree.)
• Active TS/SCI with Polygraph (required).
• Familiarity with relational and non-relational databases, including Oracle, Postgres, MongoDB, and Redis.
• Proficiency in SQL and associated tools (e.g., SQL Developer).
• Ability to support the development of long- and short-term requirements for database administration and design.
Preferred:
• Familiarity with Elasticsearch and its integration into database systems.
Company:
BigBear.ai's mission is to deliver clarity for the world's most complex decisions. Founded in 2020, the company is headquartered in Fairfax, USA, with a team of 501-1000 employees. The company is currently Late Stage.

Apply