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Data Ai Jobs (NOW HIRING)

Data & AI Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Data & AI Architect 2 Broadway, New York, NY Work Arrangement: Hybrid - 3 days onsite / 2 days remote Note: Candidate must be in NY/NJ Position Summary we are seeking a senior Data & AI Architect to ...

Data/AI Lead Location: Houston TX - 3 days /week Duration: Direct Hire / Full time role SUMMARY OF THE ROLE Responsible for leading the strategic data and AI initiatives, ensuring alignment with ...

Data & AI Engineer

Manhattan, NY · On-site

$126K - $151K/yr

## Data & AI EngineerApplylocations: New York, NYtime type: Full timeposted on: Posted 11 Days Agojob requisition id: R-00117**Department Description** The Data & AI Engineer sits within Carlyle ...

Data & AI Engineer

Washington, DC · On-site

$129K - $155K/yr

## Data & AI EngineerApplylocations: Washington, DCtime type: Full timeposted on: Posted 4 Days Agojob requisition id: R-00118Fund or Department DescriptionThe Data & AI Engineer sits within Carlyle ...

$95K - $114K/yr

Position Summary The Data & AI Engineer is an experienced, hands‑on engineer who turns Carlyle's data and AI architecture into working production systems. Reporting to the Senior AI & Data ...

Data & AI Engineer

Washington, DC · Hybrid

$129K - $155K/yr

Fund or Department Description The Data & AI Engineer sits within Carlyle's Enterprise Technology & Data organization and supports firm-wide data and AI initiatives spanning investment platforms ...

Data & AI Engineer

New York, NY · On-site

$125K - $150K/yr

Department Description The Data & AI Engineer sits within Carlyle's Enterprise Technology & Data organization and supports firm-wide data and AI initiatives spanning investment platforms, portfolio ...

The Opportunity Support the design and development of data products, analytics solutions and AI use cases within the Operations domain, contributing hands-on to Data & AI delivery for process, supply ...

Data & AI Engineer

New York, NY · Hybrid

$125K - $150K/yr

Department Description The Data & AI Engineer sits within Carlyle's Enterprise Technology & Data organization and supports firm-wide data and AI initiatives spanning investment platforms, portfolio ...

Inviting applications for the role of Director - Data & AI Retail In this role you will be responsible to work alongside a specialized group of sellers to grow Data & AI business across new and ...

Data & AI Engineer

New York, NY · Remote

$100K - $125K/yr

We're looking for a Data & AI Engineer to help accelerate adoption of AI and shape how Arizent uses data and AI across our business. Reporting directly our Senior Director of Data and AI, you'll be ...

Data & AI Architect

New York, NY · On-site

$69.75 - $89.75/hr

Data & AI Architect Location : 2 Broadway NYC (Need Only Locals) Exp: 10+ Years First round virtual and 2nd round in person interview this week Position Summary The Client is seeking an experienced ...

Job #3906 Position - Data & AI Champion Work Location - Bethesda, MD Security Clearance - TS/SCI with CI Polygraph Company Overview: Cornerstone Defense is the Employer of Choice within the ...

Project Manager Data & AI

Miami, FL · On-site

$49.50 - $66.75/hr

Project Manager - Data & AI Location: Miami, FL - onsite Local consultants Contract Role We are seeking a highly organized and results-driven Project Manager - Data & AI to lead end-to-end delivery ...

Data & AI Analyst

$116K - $152K/yr

Excel Impact is looking for a Data & AI Analyst to join our team and help transform data into actionable insights, scalable reporting solutions, and practical AI-powered applications. This role ...

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Data & AI Engineer

Boca Raton, FL · On-site

$108K - $130K/yr

About this position The Principal Engineer - Data & AI is a senior, hands‑on lead engineer responsible for defining and implementing enterprise‑scale AI, data, and automation architectures and ...

The Opportunity The Manager, Data & AI Strategy leads the delivery of TELUS Digital's Data & AI advisory engagements, owning client relationships and driving outcomes across AI strategy, data ...

Data & AI Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Data & AI Architect Chicago 3x/wk C2H Goal profile: 12-15+ years in Data Architecture/Data Engineering, strong Snowflake or BigQuery background, experience building enterprise data lakes/lakehouses ...

The Director Data, AI and Analytics will own the strategy, platforms, operating model, and outcomes for Data, AI, and Analytics across three FUJIFILM lifesciences businesses. In highly regulated GxP ...

Data & AI Engineer

Sacramento, CA · On-site

$117K - $141K/yr

The Data & AI Engineer partners with data scientists, analysts, and AI engineers to ensure data is high-quality, well-governed, and ready to support analytics, AI, and business intelligence, and ...

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Data Ai information

See salary details

$24K

$121.9K

$172.5K

How much do data ai jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data ai in the United States is $121,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a Data AI?

A Data AI job involves working with artificial intelligence and data to analyze, process, and extract insights for decision-making. Professionals in this field use machine learning, data science, and analytics to develop models that improve business processes. They may work on tasks such as automating data workflows, optimizing AI algorithms, or building predictive models. Data AI roles can be found in industries like healthcare, finance, and technology, helping organizations leverage AI for better outcomes.

What are the key skills and qualifications needed to thrive in the Data AI position, and why are they important?

To thrive as a Data AI professional, you need strong expertise in data analysis, machine learning, and programming, generally supported by a degree in computer science, data science, or a related field. Familiarity with tools such as Python, SQL, TensorFlow, and cloud platforms, along with relevant certifications like AWS Certified Machine Learning or Microsoft Azure AI, is highly valued. Strong problem-solving abilities, communication skills, and a collaborative mindset help individuals excel in cross-functional team settings. These skills and qualities enable effective development, deployment, and interpretation of AI-driven data solutions that drive business impact.

What are some common challenges faced by Data AI professionals, and how can they be addressed?

Data AI professionals often encounter challenges such as working with unstructured or incomplete data, integrating AI models within existing business systems, and keeping up with rapidly evolving technologies. Collaborating closely with data engineers, software developers, and business stakeholders is key to creating practical solutions that meet organizational needs. Staying proactive by regularly upskilling and participating in industry forums or trainings can help overcome technical hurdles. Many employers support continuing education, which helps Data AI professionals remain effective and innovative in their roles.

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What cities are hiring for Data Ai jobs?

Cities with the most Data Ai job openings:

What are the most commonly searched types of Data Ai jobs?

The most popular types of Data Ai jobs are:

What states have the most Data Ai jobs?

States with the most job openings for Data Ai jobs include:

Infographic showing various Data Ai job openings in the United States as of September 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 68% In-person, 6% Hybrid, and 26% Remote job distribution, with an average salary of $121,871 per year, or $58.6 per hour.

Data & AI Architect

Manhattan, NY • On-site

$70.25 - $90.50/hr

Other

Re-posted yesterday


Job description

Data & AI Architect

2 Broadway, New York, NY
Work Arrangement: Hybrid – 3 days onsite / 2 days remote
Note: Candidate must be in NY/NJ

Position Summary
we are seeking a senior Data & AI Architect to design and deliver enterprise data, cloud, AI, and GenAI solutions across a large, complex organization. The role requires strong Azure architecture expertise, multi-cloud experience, hands-on AI/ML and GenAI development, and excellent stakeholder-management skills.

Key Responsibilities

  • Gather requirements from business and technical stakeholders and convert ambiguous needs into actionable solutions.
  • Architect end-to-end data and AI solutions covering ingestion, storage, transformation, modeling, and consumption.
  • Design solutions using Azure, AWS, or Google Cloud Platform and modern data/AI technologies.
  • Implement GenAI, LLM, RAG, ML pipelines, and agentic/AI-assisted development solutions.
  • Develop reference architectures, standards, and governance practices for enterprise data and AI.
  • Ensure solutions meet security, privacy, compliance, cost, and data-governance requirements.
  • Present architecture and technical recommendations to leadership and governance teams.
  • Collaborate with engineering, data science, and product teams to move solutions from concept through production.
  • Mentor engineers and analysts on data and AI best practices.

Required Skills

  • 8+ years in data engineering, data architecture, software engineering, or related fields.
  • 6+ years in an architecture-focused role.
  • Hands-on multi-cloud experience across at least two major cloud platforms.
  • Strong experience with relational, NoSQL, analytical/warehouse, and vector/graph databases.
  • Practical experience with AI/ML, GenAI, LLMs, RAG, and model orchestration.
  • Hands-on experience with AI-assisted/agentic development tools.
  • Strong requirements gathering, documentation, presentation, and stakeholder-management skills.
  • Proven ability to take solutions from concept → approval → production.

Preferred

  • Strong recent Azure experience, including Azure Data Services, Synapse/Fabric, Azure OpenAI, or Azure ML.
  • Experience with GitHub Copilot, Copilot Studio, or Microsoft 365 Copilot.
  • Public-sector, transit, infrastructure, or large-enterprise experience.
  • Cloud/data architecture certifications.
  • Knowledge of data governance, MLOps, and responsible AI.