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Data And Ai Jobs (NOW HIRING)

Intellisoft Technologies

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 ...

Moab

Data & AI Analyst

New York, NY · On-site

$125K - $175K/yr

About the Role The Data & AI Analyst (Operations) will be a core member of the Business Operations team, sitting at the intersection of customer implementation, internal tooling, and data operations.

The Brattle Group

Data and AI Engineer

Boston, MA · On-site

$124K - $149K/yr

The Data & AI Engineer is an early-career role within Brattle's Data & AI Engineering team, focused on hands-on technical work across client delivery, applied R&D, and internal capability-building.

Jade Global

Data/Ai Engineer Intern

Ogden, UT · On-site

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 ...

Magnifica Air

Head of Data & AI

Orlando, FL · On-site

Magnifica Air is seeking a Head of Data and AI to lead the strategy, governance, and execution of data and AI initiatives across portfolio companies. This role involves overseeing enterprise data ...

ENI

Come Lead Data & Ai Architect farai parte della funzione Digital Information Technologies di Eni. Con un profilo dalla leadership tecnica riconosciuta, sarai in grado di guidare la visione e la ...

Sciolex Corporation

Data & AI Engineer

Chantilly, VA · On-site

$118K - $142K/yr

You will work across enterprise data, internal applications, automation, and modern AI-driven solutions to improve how information is accessed, understood, and used throughout the business. We are ...

The Brattle Group

Data and AI Engineer

Boston, MA

$124K - $149K/yr

The Data & AI Engineer is an early-career role within Brattle's Data & AI Engineering team, focused on hands-on technical work across client delivery, applied R&D, and internal capability-building.

Sciolex Corporation

Data & AI Engineer

Chantilly, VA · Remote

$118K - $142K/yr

You will work across enterprise data, internal applications, automation, and modern AI-driven solutions to improve how information is accessed, understood, and used throughout the business. We are ...

ENI

$57.25 - $73.50/hr

Come Expert Data & AI Architect farai parte della funzione Digital Information Technologies di Eni e ti occuperai della progettazione e implementazione di soluzioni end-to-end in ambito Dati e AI in ...

WARACLE

Principal Data & AI Consultant

Dundee, MI · On-site

$120.48 - $174.03/hr

  • Retirement

  • PTO

Principal Data & AI Consultant - Waracle is a digital technology consultancy. This Hybrid role is based at Dundee, London, or Glasgow , with around 2 days per week in office. Key Aspects of the Role ...

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All JobsData And Ai Jobs

Data And Ai information

What are the key skills and qualifications needed to thrive as a data and AI specialist?

To thrive as a Data and AI Specialist, you need strong analytical skills, a solid background in mathematics or computer science, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data visualization tools, and cloud platforms is typically required, along with relevant certifications such as Microsoft Certified: Azure AI Engineer or Google Professional Data Engineer. Excellent problem-solving abilities, collaboration, and effective communication are essential soft skills that help in translating complex data insights into actionable business strategies. These skills and qualities are crucial for developing impactful AI solutions, ensuring data-driven decision-making, and driving innovation within organizations.

What are some typical challenges faced by professionals working in data and AI roles, and how can they be addressed?

Professionals in Data and AI roles often encounter challenges such as managing large and complex datasets, ensuring data quality, and addressing biases in AI models. Additionally, staying current with rapidly evolving technologies and tools can be demanding. Collaborating closely with cross-functional teams—including data engineers, business analysts, and stakeholders—helps ensure that solutions are both technically sound and aligned with business goals. Regularly participating in training and industry forums can also aid in keeping skills up to date and overcoming these challenges.

What is the difference between Data And Ai vs Data Analyst?

AspectData And AiData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, or related fields; proficiency in data visualization tools
Work EnvironmentTech companies, AI startups, research labs; focus on developing AI models and algorithmsBusiness environments across industries; focus on analyzing data to inform decisions
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in business intelligence, reporting, and data-driven decision making

Data And Ai professionals focus on creating AI models and algorithms, often requiring advanced programming and machine learning skills. Data Analysts interpret data to generate insights, reports, and support decision-making. While both roles work with data, Data And Ai roles are more technical and development-oriented, whereas Data Analysts focus on analysis and visualization.

What is a data and AI job?

Data and AI jobs refer to roles that focus on collecting, processing, analyzing, and interpreting large sets of data using artificial intelligence and machine learning techniques. These positions include data scientists, machine learning engineers, data analysts, AI researchers, and related professions. The goal of these jobs is to extract meaningful insights from data, build predictive models, and develop intelligent systems that can automate or enhance decision-making processes in various industries.
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What states have the most Data And Ai jobs?

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Data And Ai jobs near you
Infographic showing various Data And Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data & AI Platform Engineer

Resource Consultings Services Inc

Washington, DC • On-site

$129K - $155K/yr

Contractor

Re-posted 24 days ago

Job description

Role: Senior Data & AI Platform Engineer

Location: Washington DC (Hybrid)

Duration: 12+ month

Job Description

Client is seeking a Senior Data & AI Platform Engineer for an onsite role in Washington, DC, supporting a premier national transportation leader. This pivotal role is designed for a technical visionary who will architect and scale a unified, self-service data ecosystem using a modern Databricks lakehouse architecture. You will bridge the gap between complex data engineering and advanced AI, leading the design of automated pipelines, MLOps frameworks, and API-first integrations while mentoring a talented team of engineers. This is a unique opportunity to modernize critical infrastructure and drive data-driven innovation for an organization that connects communities across America.

Key Responsibilities

  • Architectural Leadership: Lead the evolution of a scalable Data & AI platform, integrating Databricks, SAP (Datasphere/S/4), and Denodo virtualization into a governed, self-service ecosystem.
  • Solution Delivery: Act as a hands-on lead developer for complex data pipelines, feature stores, and API-driven integrations that power enterprise-wide analytics and digital experiences.
  • MLOps & Automation: Design and implement production-grade MLOps pipelines, including versioning, CI/CD, and monitoring to accelerate the deployment of intelligent models.
  • Engineering Excellence: Establish and enforce standards for ingestion, transformation, and "governance-as-code" controls embedded directly into technical workflows.
  • Mentorship: Foster a culture of excellence by providing technical guidance, code reviews, and professional development for junior and mid-level engineers.
  • Strategic Collaboration: Partner with architects, product owners, and governance leads to align technical solutions with the broader enterprise data roadmap.

Qualifications & Skills

  • Education: Bachelor’s degree in Computer Science, Data Engineering, or a related technical field (equivalent experience considered).
  • Experience: 4–6 years of deep technical experience in data engineering, software development, or data architecture.
  • Technical Proficiency: Advanced expertise in Python and SQL with significant experience in Apache Spark and modern Lakehouse architectures (Databricks preferred).
  • AI/ML Expertise: Proven experience building MLOps pipelines and internal platform services such as feature stores or semantic layers.
  • Modern Infrastructure: Strong understanding of API-first and event-driven architectures, secure service-to-service communication, and RBAC security.
  • Agile Leadership: Demonstrated ability to lead multi-functional teams through technical challenges within a scaled Agile environment.
  • Soft Skills: Exceptional communication and problem-solving abilities, with the capacity to explain complex technical concepts to diverse stakeholders.