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Data Ai Jobs (NOW HIRING)

Data & AI Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Webcam or In-Person Position Summary The Client is seeking an experienced Data & AI Architect to design, define, and deliver enterprise data and artificial-intelligence solutions across a large ...

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

Design scalable, secure, and resilient data platforms supporting analytics, AI/ML, and operational workloads. Create conceptual, logical, and physical data models. Develop enterprise data roadmaps ...

New

Build company's enterprise Data & AI Governance operating model, including governance roles, decision rights, stewardship responsibilities, escalation paths, templates, operating cadence, and ...

The Head of Data and AI leads the strategy, governance, and execution of data and AI initiatives across portfolio companies, turning cross-business data into measurable business value. This leader ...

As a Data & AI Specialist at Windfall, you'll be right at the center of the action: supporting the implementation of new Windfall customers, configuring their accounts, mapping real datasets, and ...

$150 - $200/hr

Build what matters as a Data & AI Engineer at RevStar. RevStar is a dynamic team of engineers, architects, and product managers committed to putting your business first in the pursuit of excellence.

New

As a Data & AI Specialist at Windfall, you'll be right at the center of the action: supporting the implementation of new Windfall customers, configuring their accounts, mapping real datasets, and ...

Principal Architect - Data & AI SME Responsibilities Lead as a technical evangelist and trusted advisor for clients, shaping early-stage Data & AI conversations into compelling solution visions built ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global Are you ready to start a career where your talents are recognized, your growth is supported, and ...

Data & AI Product Manager

New York, NY · On-site

$150K - $225K/yr

As a Data & AI Product Manager, you will own the AI products and systems that make this possible. What We're Looking For Technical background * Fluency with AI - foundational LLMs, prompting ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global Are you ready to start a career where your talents are recognized, your growth is supported, and ...

Data & AI Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Intellisoft Technologies is seeking a Data & AI Engineer to join their team. The role involves leveraging extensive experience in data engineering to deliver big data projects and implement best ...

Showing results 41-60

Data Ai information

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$24K

$121.9K

$172.5K

How much do data ai jobs pay per year?

As of Aug 19, 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 states have the most Data Ai jobs?

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Infographic showing various Data Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,871 per year, or $58.6 per hour.

Data & AI Architect

InterSources Inc.

Manhattan, NY • On-site

$70.25 - $90.50/hr

Other

Posted 5 days ago


Job description

Title: Data Scientist
Location: NYC NY, Hybrid
Duration: 12 Months
HYBRID - 3 days onsite and 2 days remote
Interview Process: Webcam or In-Person
Job Description:
Position Summary
The Client is seeking an experienced Data & AI Architect to design, define, and deliver enterprise data and artificial-intelligence solutions across a large, multi-department organization. This is a hands-on architecture role that blends deep technical expertise with strong stakeholder engagement: the architect will partner directly with business and operational teams across the Client to surface ambiguous, poorly defined problems, translate them into clear and actionable requirements, secure approval, and implement solutions using modern agentic development tooling.
The ideal candidate is equally comfortable in a whiteboard session with a non-technical department head and in the details of a multi-cloud data and AI platform. They bring recent, primarily Azure-based experience and hands-on fluency with Copilot-style AI development tooling, along with broad exposure to multiple cloud providers, database technologies, and AI/ML frameworks.
Key Responsibilities
  • Engage stakeholders across any clients department to elicit, clarify, and shape nebulous or emerging data and AI use cases into well-scoped opportunities.
  • Translate business needs into clear, actionable requirements documents that both technical and non-technical audiences can understand and act on.
  • Present and explain proposed solutions, trade-offs, and value to stakeholders and governance bodies, and drive requirements through to formal approval.
  • Architect end-to-end data and AI solutions spanning ingestion, storage, transformation, modeling, serving, and consumption layers.
  • Design and implement solutions using agentic development tooling to accelerate delivery while maintaining quality, security, and maintainability.
  • Define reference architectures, patterns, and standards for data and AI across multi-cloud and multi-database environments.
  • Ensure solutions meet enterprise requirements for security, privacy, data governance, cost efficiency, and regulatory compliance.
  • Collaborate with engineering, data science, platform, and product teams to move approved solutions from design into production.
  • Mentor and provide technical guidance to engineers and analysts, and champion good data and AI practices organization wide.

Required Qualifications
  • 8+ years of overall experience in data engineering, data architecture, software engineering, or a closely related field, with 6+ years in an architecture-focused role.
  • Multi-cloud experience — hands-on design and delivery across at least two major cloud providers (e.g., Azure, AWS, Google Cloud Platform).
  • Multi-database experience across relational, NoSQL, analytical/warehouse, and vector or graph database technologies.
  • Multi-AI experience — practical work across a range of AI/ML and generative-AI frameworks, models, and platforms (e.g., LLMs, ML pipelines, RAG, model orchestration).
  • Strong requirements-gathering and stakeholder-facing skills: proven ability to extract clarity from ambiguity and write actionable specifications.
  • Excellent written and verbal communication; able to explain complex technical concepts to non-technical audiences and secure buy-in.
  • Hands-on experience delivering solutions with agentic development tooling / AI-assisted development workflows.
  • Demonstrated experience taking solutions from concept through approval to production implementation.

Preferred Qualifications
  • Primary recent experience on the Microsoft Azure stack (e.g., Azure Data services, Synapse/Fabric, Azure OpenAI, Azure ML).
  • Hands-on development experience with Microsoft Copilot tooling (e.g., GitHub Copilot, Copilot Studio, M365 Copilot). Exceptional candidates without Copilot experience will be considered.
  • Experience in large, complex, or public-sector / transit / infrastructure organizations.
  • Relevant cloud or data architecture certifications.
  • Familiarity with enterprise data governance, MLOps, and responsible-AI practices.

InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Year founded

2007

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