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Ai In Jobs (NOW HIRING)

Leland

AI Product Development Coach (Contract)

$117K - $146K/yr

Since our founding in 2021, we've helped tens of thousands of people reach their most ambitious ... Coaches help mentees apply AI in real product development, including AI product strategy ...

Raspberry AI

AI Designer

New York, NY · On-site

AI Designer About Raspberry AI Raspberry AI is a generative AI design platform built for fashion ... We closed $24 million in Series A from a16z, plus $5 million seed rounds from Khosla Ventures and ...

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How much do ai in jobs pay per year?

As of Jun 30, 2026, the average yearly pay for ai in in the United States is $212,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $185,000.00 and $238,500.00 per year, depending on experience, location, and employer.

What is an AI Engineer?

An AI Engineer is a professional who designs, develops, and implements artificial intelligence systems and applications. They use machine learning algorithms, deep learning frameworks, and data analysis techniques to create intelligent solutions that can perform tasks such as image recognition, natural language processing, and decision-making. AI Engineers often collaborate with data scientists and software developers to build models, train AI systems, and deploy them in real-world environments. Their work is crucial in advancing automation and making technology smarter across various industries.

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

What job makes $10,000 a month without a degree?

In the field of AI, roles such as AI consultant, machine learning engineer, or data scientist can potentially earn $10,000 or more per month, especially with specialized skills, experience, and certifications. These positions often require strong programming knowledge, understanding of AI tools, and sometimes a background in mathematics or statistics, but they do not always require a formal degree if demonstrated expertise is available.

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

To thrive as an AI Engineer, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and typically a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with data modeling, and sometimes certifications in AI or data science are highly valued. Critical thinking, creativity, and effective communication help AI Engineers collaborate on complex projects and translate technical concepts for diverse audiences. These skills and qualities are crucial for developing innovative, reliable AI solutions that address real-world challenges.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand and specialized expertise in the AI industry.

Which 3 jobs will survive AI?

AI In roles such as data analysts, AI specialists, and cybersecurity professionals are likely to persist because they require complex problem-solving, creativity, and human oversight. These jobs involve tasks that are difficult to fully automate, especially those requiring critical thinking, ethical judgment, and interpersonal skills.

How is AI being used in jobs?

AI is used in jobs to automate repetitive tasks, analyze large data sets, and improve decision-making processes. Roles such as AI specialists, data analysts, and machine learning engineers often require knowledge of programming languages like Python and familiarity with AI tools and frameworks. This technology enhances productivity and enables new capabilities across various industries.

What are some common challenges AI Engineers face when integrating artificial intelligence solutions into existing business systems?

AI Engineers often encounter challenges such as ensuring compatibility between new AI models and legacy systems, managing data quality and availability, and addressing scalability concerns. Effective communication with cross-functional teams, including data scientists, IT, and business stakeholders, is essential to understand requirements and mitigate potential roadblocks. Additionally, AI Engineers must balance innovation with ethical considerations and compliance, making it crucial to stay updated on industry standards and best practices.
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What cities are hiring for Ai In jobs? Cities with the most Ai In job openings:
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What job categories do people searching Ai In jobs look for? The top searched job categories for Ai In jobs are:
Ai In jobs near you
Infographic showing various Ai In job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, 20% Part Time, and 6% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $212,979 per year, or $102.4 per hour.
Data Engineer + Gen AI (In-Person @ NYC)

Data Engineer + Gen AI (In-Person @ NYC)

NucleusTeq

New York, NY • On-site

$125K - $150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Data Engineer + Gen AI
Location NYC (Hybrid)
Duration: 12+ Months
Interview Mode In-Person Interview

Company Description

NucleusTeq is a global leader in software services, specializing in Generative AI, Machine Learning, Data Modernization, Cloud Computing, and Enterprise Automation. Headquartered in Phoenix, Arizona, the company empowers Fortune 100 enterprises with innovative, AI-driven solutions, scalable architectures, and comprehensive data transformation services. Leveraging its proprietary platform, NuoData, NucleusTeq delivers cutting-edge capabilities in data governance, real-time analytics, and enterprise AI/ML frameworks. With advanced automation, scalable cloud solutions, and robust security integrations, NucleusTeq drives digital transformation for businesses worldwide. Please have a look at NucleusTeq Website and its product. We are Phoenix based company with offshore center in Indore, Raipur & Bhilai and people are working from various parts of India likewise Delhi-NCR, Pune, Bengaluru & Hyderabad etc.

    Tech Stack Data Engineering with PySpark + Data Pipeline Orchestration Tool like Airflow & Glue or similar , AI / Agentic AI, FastAPI, Google Cloud Platform, Flask, Python, SQL, Docker & Kubernetes, Fast API

    Responsibilities:

    • As a Data Engineer, you'll be responsible for designing and building high performance, and scalable data platforms
    • You will be leading team of multiple very enthusiastic and skilled engineers to drive the product development and adoption
    • You will be required to effectively collaborate with product teams from business group and understand the product roadmap and vision and translate that into engineering artefacts
    • You will work with a variety of teams and individuals, including platform engineers, usecase owners, analytical users to understand their needs and come up with innovative solutions
    • You will follow the Amex-way of building engineering products that leads to engineering excellence by adopting DevOps principals

    Qualifications:

    • Bachelor's degree in computer science, Engineering, or a related field. Master's degree would be a plus
    • Great to have:- Google Cloud Platform professional certification - Data Engineer/Cloud Architect will be preferable
    • Experience with Google Cloud Platform services (Big Query, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, etc.).
    • 6+ years of software development experience with hands-on expertise in coding in Java/Python/Scala.
    • 3+ years of experience in creating low code/no code ETL tool for setting up large scale data transformation on Google Cloud Platform Cloud
    • Strong SQL, RDBMS skills. Expert in writing complex SQLs for different databases such as Hive , MySQL , Postgres etc. Proficiency in working with NoSQL databases as well
    • Experience working with Spark , Big Data and Hive
    • Experience in Git Management including PR reviews, maintaining code hygiene
    • In-depth understanding of data warehousing concepts, dimensional modelling, and data integration techniques
    • Experience in optimizing high volume data processing jobs.
    • 3+ years experience in writing APIs
    • Knowledge of High availability and DR setup.
    • Hands-on experience on CICD pipelines, Automated test frameworks, DevOps and source code management will be a big plus (XLR, Jenkins, Git, Stash, Jira, Confluence, Splunk etc.)
    • Experience working in Agile/SAFe framework for development
    • Understanding of Generative AI concepts, including LLMs (Large Language Models), prompt engineering, embeddings, and vector databases.
    • Experience integrating GenAI capabilities into data platforms (e.g., semantic search, AI-driven analytics, automated data insights).
    • Excellent communication and analytical skills
    • Excellent team-player with ability to work with global team
    Nucleusteq logo

    About Nucleusteq

    Sourced by ZipRecruiter

    NucleusTeq is a software services, solutions & products company empowering & transforming customers’ business through the use of digital technologies such as Big-Data, Analytics, Cloud, Enterprise Automation, Block-chain, Mobility etc. We are enabling several fortune 1000 clients in the USA, Canada, UK & India to navigate their digital transformation. Our mission is to empower & transform customers’ business through the use of digital technologies such as Big-Data, Analytics (AI, ML), Cloud, Enterprise Automation, Block-chain, Mobility, CRM & ERP. We are committed to enriching our colleagues and communities equally.

    Industry

    It services

    Company size

    201 - 500 Employees

    Headquarters location

    Phoenix, AZ, US

    Year founded

    2018

    Social media

    Facebook

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