ZipRecruiter

Log In

1

Ai Data Architect Jobs (NOW HIRING)

STI

AI Data Architect

$65.25 - $84/hr

AI Data Architect Location: Denver, CO/REMOTE This position is for a remote work environment Duration: 6+ Months We are seeking a highly skilled and forward-thinking AI Data Architect to play a ...

Instant Serve LLC

AI Data Architect /REMOTE

Denver, CO · Remote

$75 - $80/hr

Remote AI Data Architect - Public Sector Location: Preferably Colorado Duration: 6 months We are seeking a forward-thinking AI Data Architect to lead data-driven initiatives in the public sector.

BraunAbility

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

BraunAbility is a company focused on enhancing mobility solutions, and they are seeking an AI Data Architect to build and maintain data pipelines that support AI solutions. The role involves ensuring ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS - from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full ...

Braunability

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

Map complex enterprise data schemas toidentifythe exact tables, fields, and payloadsrequiredto support the cognitive architecture designed by the AI Studio Lead. * Build andmaintaindevelopment and ...

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS -- from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full ...

BraunAbility

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

Map complex enterprise data schemas to identify the exact tables, fields, and payloads required to support the cognitive architecture designed by the AI Studio Lead. * Build and maintain development ...

Inizio Partners

Agentic AI Data Architect

New York, NY · Hybrid

$69.75 - $89.75/hr

Role - Agentic AI Data Architect Location - Remote (US) Role & Responsibilities Overview: Architecture & Technical Leadership * Define end-to-end architecture for agentic AI-enabled platform across ...

Judge Group, Inc.

AI Data Architect W2

Mesquite, TX · On-site

$140K - $160K/yr

Data AI Architect (Hybrid - 1 day onsite) NO SPONSORSHIP AVAILABLE OVERVIEW We are seeking a Data AI Architect to build and lead an AI-first data and analytics function. This role is designed for ...

Gerber Collision & Glass

Data & AI Architect

Elmhurst, IL

$63.50 - $81.75/hr

Job Summary The AI & Data Architect is a high-impact role responsible for accelerating our AI maturity and optimizing the data ecosystem that supports it. This role focuses on defining and ...

The Boyd Group

Data & AI Architect

Elmhurst, IL

$63.50 - $81.75/hr

Job Summary The AI & Data Architect is a high-impact role responsible for accelerating our AI maturity and optimizing the data ecosystem that supports it. This role focuses on defining and ...

Spruce Infotech

AI Data Solutions Architect

Lincolnshire, IL · On-site

$67 - $86.25/hr

This role is responsible for designing and supporting the data architecture that enables AI and machine learning initiatives across the organization. The ideal candidate will bring a strong blend of ...

next page

Showing results 1-20

All JobsAi Data Architect Jobs

Ai Data Architect information

See salary details

$10

$69

$94

How much do ai data architect jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for ai data architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Data Architect, and why are they important?

To thrive as an AI Data Architect, you need deep expertise in data modeling, database design, and AI/ML concepts, often backed by a degree in computer science, engineering, or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data frameworks (like Hadoop and Spark), and certifications in cloud architecture or data engineering are highly valued. Strong analytical thinking, problem-solving skills, and effective communication are crucial for collaborating across teams and translating business needs into scalable data solutions. These skills ensure robust, efficient AI systems that support organizational goals and drive innovation.

What is an AI Data Architect?

An AI Data Architect is a professional who designs, builds, and manages the data infrastructure necessary for artificial intelligence (AI) and machine learning (ML) systems. They ensure that data is collected, stored, processed, and made accessible in a way that supports AI applications. Their responsibilities include selecting appropriate data storage solutions, creating data models, establishing data pipelines, and maintaining data quality and security. AI Data Architects work closely with data scientists, engineers, and business stakeholders to translate business needs into robust data solutions that enable AI-driven insights and automation.

How does an AI Data Architect typically collaborate with data engineers, data scientists, and other stakeholders within an organization?

An AI Data Architect plays a central role in bridging the gap between data engineering, data science, and business stakeholders. They design and oversee the data infrastructure required for AI applications, working closely with data engineers to ensure pipelines are scalable and secure. In collaboration with data scientists, they help define data requirements and optimize data flows for model training and deployment. Frequent communication with product managers and business leaders helps align the data architecture with organizational goals and regulatory standards, making adaptability and strong interpersonal skills key components of the role.

What is the difference between Ai Data Architect vs Data Engineer?

AspectAi Data ArchitectData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; certifications in cloud platforms or data architectureBachelor's/Master's in CS, Software Engineering, or related; certifications in cloud or data tools
Work EnvironmentDesigning data architecture for AI models, collaborating with data scientists and AI teamsBuilding and maintaining data pipelines, managing data storage and processing systems
Industry UsageUsed in AI-focused companies, tech firms, and organizations deploying AI solutionsCommon across industries for data management, analytics, and infrastructure

The Ai Data Architect focuses on designing data systems optimized for AI applications, working closely with data scientists. In contrast, Data Engineers build and maintain the data pipelines and infrastructure needed for data processing. Both roles require similar technical skills and certifications but serve different functions within data ecosystems.

More about Ai Data Architect jobs
What cities are hiring for Ai Data Architect jobs? Cities with the most Ai Data Architect job openings:
What states have the most Ai Data Architect jobs? States with the most job openings for Ai Data Architect jobs include:
What job categories do people searching Ai Data Architect jobs look for? The top searched job categories for Ai Data Architect jobs are:
Ai Data Architect jobs near you
Infographic showing various Ai Data Architect job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

AI Data Architect

STI

Remote

$65.25 - $84/hr

Full-time

Posted 22 days ago

Job description

Job Title: AI Data Architect
Location: Denver, CO/REMOTE
This position is for a remote work environment
Duration: 6+ Months
We are seeking a highly skilled and forward-thinking AI Data Architect to play a pivotal role in shaping our data-driven initiatives within the public sector. This role demands a deep understanding of AI technologies, data architecture principles, and risk management within a public sector context. The successful candidate will collaborate with stakeholders across the organization to identify, assess, and implement AI-powered solutions while ensuring data security, ethical considerations, and compliance with regulations.
The AI Architect will participate in four major activities within the state of Colorado including performing risk and impact assessments of potential AI projects, executing technical solutioning and consultation for potential AI projects, assisting with use case trend analysis and roadmapping, and supporting the overall development of process around use of AI.
Key Responsibilities:
  • AI Strategy & Roadmap: Collaborate with the Chief Data Officer and stakeholders to participate in the development and implementation of a comprehensive AI strategy that aligns with the organization's mission and objectives.
  • Use Case Identification & Assessment: Conduct thorough assessments of potential AI use cases, considering their feasibility, impact, and associated risks.
  • Solution Review & Architecture: Evaluate the technical soundness of AI project proposals, focusing on architecture, security, privacy, data quality, model performance, and scalability. Advise on design to ensure scalable and secure data architectures to support AI/ML workloads, ensuring data quality, availability, and compliance.
  • Risk Management & Mitigation: Assess the potential impact of AI projects. Identify and mitigate risks associated with AI projects, including data privacy concerns, algorithmic bias, and potential misuse of AI.
  • Collaboration: Foster strong relationships with cross-functional teams, including agency and OIT teams. Provide guidance and support on technical and ethical considerations and assist with strengthening procedure and operationalizing AI considerations.
  • Technology Evaluation & Selection: Stay abreast of the latest AI technologies and trends, evaluating their suitability for specific use cases and recommending appropriate solutions.
  • Documentation: Prepare clear and concise technical reports summarizing the findings of project reviews as well as outline trends in use cases and surface considerations around opportunities for future use.

Required Skills and Experience:
  • Leadership, communication and interpersonal skills, with the ability to translate complex technical concepts to diverse audiences on cross-functional teams
  • Technical background in AI and machine learning, including deep knowledge of AI/ML tools and models (e.g. Google Vertex, AWS Kendra, Snowflake Cortex, AWS SageMaker, Google AI Studio), cloud computing (i.e., AWS, GCP), big data technologies (i.e., Snowflake, Redshift, BigQuery), and data architecture principles.
  • Experience with AI and data architecture and management.
  • Knowledge of responsible AI principles and ethical considerations.
  • Senior analytical and problem-solving skills.

Additional Desired Skills and Experience:
  • NIST AI Framework training or certification

Apply