1

Ai Engineer Jobs (NOW HIRING)

AI Engineer

Washington, DC · On-site

$110K - $151K/yr

Developer Premium II - AI Engineer Location: Washington, DC Duration: 7 Months with long term extension Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated ...

AI Engineer

Ann Arbor, MI · On-site

$150K - $250K/yr

AI Engineer Responsibilities * Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle ...

Your Role As an AI Agent Engineer at Eloquent AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations. You'll work ...

AI Engineer

Oklahoma City, OK · On-site

$170K - $200K/yr

An Oklahoma City based client is seeking an innovative Senior AI Engineer to help design and deliver AI-powered solutions that proactively solve business challenges. In this role, you will be ...

AI Engineer

Birmingham, MI · On-site

$150K - $250K/yr

AI Engineer Responsibilities * Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle ...

AI Engineer Responsibilities * Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle ...

AI Engineer - Generative AI & Agentic Systems We're looking for an exceptional AI Engineer to join our growing Data & AI practice and help build the next generation of AI-powered solutions. This role ...

As an AI Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You'll work across the ...

AI Engineer

Huntsville, AL · On-site

$130K - $141K/yr

AI Engineer Join our team! Be a part of our passionate and determined team on a mission to use our skills and experiences to make a difference in the defense and aerospace industry. Position ...

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

AI Engineer Responsibilities * Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle ...

AI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

Senior AI Engineer Google AI & Generative Intelligence Location: [Paramus, NJ / Hybrid] Experience Required: 10 15 Years in Software Engineering | 5+ Years in Artificial Generative Intelligence We ...

Senior AI Engineer

Cupertino, CA · On-site

$58 - $68/hr

Senior AI Engineer We are seeking a Senior AI Engineer to build internal AI systems and conversational intelligence tools in a fast-paced, collaborative environment. This role focuses on developing ...

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been exclusively retained by a high-growth technology startup to appoint a mission-critical AI Engineer to ...

AI Engineer Location : Malvern PA Hybrid Duration : Long term contract Responsibilities * Design, develop, and deploy GenAI solutions on platforms like Amazon bedrock and Amazon Q Business. * Build ...

AI Engineer

Pleasanton, CA

$116K - $159K/yr

About the Role Senior AI Engineer - Generative AI & LLMs At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain ...

The AI Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. Main Responsibilities and duties: Develop and implement artificial ...

We're looking for an AI Engineer who is passionate about building intelligent systems that blend large language models, retrieval architectures, and conversational agents into cohesive, scalable ...

AI Engineer Join our team! Be a part of our passionate and determined team on a mission to use our skills and experiences to make a difference in the defense and aerospace industry. Position ...

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been exclusively retained by a high-growth technology startup to appoint a mission-critical AI Engineer to ...

AI Engineer

Phoenix, AZ

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been exclusively retained by a high-growth technology startup to appoint a mission-critical AI Engineer to ...

next page

Showing results 1-20

AI Engineer information

See salary details

$39K

$101.8K

$137.5K

How much do ai engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior AI engineers, machine learning engineers, and data scientists with extensive experience and advanced skills in AI, deep learning, and programming can earn $500,000 or more annually, especially in high-demand industries or at large tech companies. Achieving this level often requires specialized expertise, advanced degrees, and a strong track record of impactful projects.

What are some common challenges faced by AI Engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.

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

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research director, or AI architect, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, programming languages like Python or Java, and data processing tools, often collaborating with data scientists and software developers. Their responsibilities include designing AI systems, optimizing models, and ensuring their integration into applications or products.

What does an AI engineer do?

An AI engineer designs, develops, and implements artificial intelligence models and systems, such as machine learning algorithms and neural networks. They work with data, programming languages like Python, and tools like TensorFlow or PyTorch to create solutions that enable machines to perform tasks typically requiring human intelligence.

What does an AI Engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

More about AI Engineer jobs
What cities are hiring for Ai Engineer jobs? Cities with the most Ai Engineer job openings:
What are the most commonly searched types of Ai Engineer jobs? The most popular types of Ai Engineer jobs are:
Who are the top companies hiring for Ai Engineer jobs? The top employers for Ai Engineer jobs are:
What states have the most Ai Engineer jobs? States with the most job openings for Ai Engineer jobs include:
Infographic showing various Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.
AI Engineer

AI Engineer

Mindlance

Washington, DC • On-site

$110K - $151K/yr

Other

Re-posted 23 days ago


Job description

Job Title: Developer Premium II - AI Engineer
Location: Washington, DC
Duration: 7 Months with long term extension

Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon.

AI Engineer: The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence solutions that enhance operational efficiency, automate decision-making, and support strategic initiatives for the environmental and social specialists within the client. This role is central to the VPU s digital transformation efforts and will contribute to the development of scalable, ethical, and innovative AI systems.

Qualifications and Experience

Education: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or related field.

Experience:

  • Minimum 3 years of experience in AI/ML model development and deployment.
  • Experience with MLOps tools (e.g., MLflow), Docker, and cloud platforms (AWS, Azure, Google Cloud Platform).
  • Proven track record in implementing LLMs, RAG, NLP model development and GenAI solutions.

Technical Skills:

  • Skilled in Azure AI/Google Vertex Search, Vector Databases, fine-tuning the RAG, NLP model development, API Management (facilitates access to different sources of data)
  • Proficiency in Python, TensorFlow, PyTorch, and NLP frameworks.
  • Expertise deep learning, computer vision, and large language models.
  • Familiarity with REST APIs, NoSQL, and RDBMS.

Certifications (Preferred):

  • Microsoft Certified: Azure AI Engineer Associate
  • Google Machine Learning Engineer
  • SAFe Agile Software Engineer (ASE)
  • Certification in AI Ethics

Objectives of the Assignment:

  • Develop and implement AI models and algorithms tailored to business needs.
  • Integrate AI solutions into existing systems and workflows.
  • Ensure ethical compliance and data privacy in all AI initiatives.
  • Support user adoption through training and documentation.
  • Support existing AI solutions by refinement, troubleshooting, and reconfiguration

Scope of Work and Responsibilities:

AI Solution Development:

  • Collaborate with cross-functional teams to identify AI opportunities.
  • Train, validate, and optimize machine learning models.
  • Translate business requirements to technical specifications.

AI Solution Implementation

  • Develop code, deploy AI models and into production environments, and conduct ongoing model training
  • Monitor performance and troubleshoot issues and engage in fine-tuning the solutions to improve accuracy
  • Ensure compliance with ethical standards and data governance policies.

User Training and Adoption:

  • Conduct training sessions for stakeholders on AI tools.
  • Develop user guides and technical documentation.

Data Analysis and Research:

  • Collect, preprocess, and engineer large datasets for machine learning and AI applications.
  • Recommend and Implement Data Cleaning and Preparation
  • Analyse and use structured and unstructured data (including geospatial data) to extract features and actionable insights.
  • Monitor data quality, detect bias, and manage model/data drift in production environments.
  • Research emerging AI technologies and recommend improvements.

Governance, Strategy, Support, and Maintenance:

  • Advise client's staff on AI strategy and policy implications
  • Contribute to the team s AI roadmap and innovation agenda.
  • Provide continuous support and contribute towards maintenance and future enhancements.

Deliverables:

  • Work on Proof of Concepts to study the technical feasibility of AI Use Cases
  • Functional AI applications integrated into business systems.
  • Documentation of model/application architecture, training data, and performance metrics.
  • Training materials and user guides.
  • Develop, train, and deploy AI models tailored to business needs
    Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Mindlance logo

About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999