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Data And Ai Jobs (NOW HIRING)

Data AI Engineer

Washington, DC · On-site

$129K - $155K/yr

We are seeking an experienced Data AI Engineer to design, develop, and implement AI-driven data solutions supporting critical federal government missions. The ideal candidate is a seasoned engineer ...

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

The Director of Data and AI leads the team building and running the Snowflake data platform and the production AI/ML use cases that power business, member, trainer, and club experiences. Snowflake is ...

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 ...

Data & AI Specialist

San Francisco, CA · On-site

$75K - $85K/yr

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 ...

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 Specialist

San Francisco, CA · On-site

$75K - $85K/yr

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 ...

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 ...

Showing results 21-40

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.
More about Data And Ai jobs

What cities are hiring for Data And Ai jobs?

Cities with the most Data And Ai job openings:

What states have the most Data And Ai jobs?

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

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 Architect (Data, AI & AWS)

Lorven Technologies

Torrance, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title: Enterprise Architect (Data, AI & AWS) / Data Architect (Data, AI & AWS)
Location: Torrance CA (Hybrid)

Note:
Need someone who can take face to face interview at Torrance CA (Hybrid)

Description:
  • Bachelor's degree in Computer science or equivalent,
  • Strong experience in Design the architectural framework for scaling Artificial Intelligence and Machine Learning models. This includes building pipelines for LLMs, Generative AI, and predictive analytics.
  • Act as the lead architect for AWS environments, ensuring best practices in VPC design, serverless architectures (Lambda), and cost optimization (FinOps).
  • Proven expertise in enterprise integration architecture using MuleSoft or equivalent middleware (REST/SOAP APIs, event-driven architecture, middleware patterns)
  • Overhaul legacy data silos into a modern Data Lakehouse or Data Mesh architecture to support real-time business intelligence and data-driven decision-making.
  • Establish guardrails for data privacy in AI models and ensure AWS security protocols (IAM, GuardDuty) are strictly followed.
  • Proven track record of designing platforms that handle Petabyte-scale data and complex ETL/ELT processes.
  • Experience moving AI projects from "Proof of Concept" (PoC) to full-scale enterprise production.
  • Preferred to have proficiency in AWS Ecosystem (S3, SageMaker, Redshift, Glue, Bedrock, and EKS).
  • Preferred to have experience with Snowflake, Databricks, or Apache Spark for large-scale data processing.
  • Preferred to have background in IaC (Infrastructure as Code) using Terraform or AWS CloudFormation.
  • Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into enterprise workflows
  • AWS Certifications: Highly preferred (e.g., AWS Certified Solutions Architect - Professional or AWS Certified Data Engineer).
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Ability to lead technical discussions, architecture reviews, and cross-functional initiatives.

Looking forward for your reply.

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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