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Artificial Intelligence Quant Jobs (NOW HIRING)

Amrize

Director of Artificial Intelligence

Portland, OR · On-site

$170K - $220K/yr

We're seeking a Director of Artificial Intelligence who's ready to be part of our mission to ... and quantitative fit tests. WHAT WE OFFER * Competitive salary: $170,000-$220,000 * Retirement ...

Beehive AI, Inc.

$84K - $101K/yr

Artificial Intelligence (Generative AI) Engineer San Francisco Bay Area (on-site) or USA (remote ... quantitative data, to generate more robust customer insights. Beehive AI ingests data from any ...

Amrize

Director of Artificial Intelligence

Portland, OR · On-site

$170K - $220K/yr

We're seeking a Director of Artificial Intelligence who's ready to be part of our mission to ... and quantitative fit tests. WHAT WE OFFER * Competitive salary: $170,000-$220,000 * Retirement ...

Innovaccer Inc.

MS or PhD in Computer Science, Machine Learning, or a related quantitative field. Exceptional BS ... The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn ...

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Artificial Intelligence Quant information

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$169.7K

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How much do artificial intelligence quant jobs pay per year?

As of Sep 10, 2026, the average yearly pay for artificial intelligence quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Artificial Intelligence Quant jobs?

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Infographic showing various Artificial Intelligence Quant job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Artificial Intelligence Technical Lead

Dallas, TX • On-site

Avani Technology Solutions, Inc.
IT Services • 201 - 500 employees
Learn more about Avani Technology Solutions, Inc.external

Full-time

Re-posted 15 days ago

Job description

Artificial Intelligence Technical Lead
Dallas, TX or Indianapolis, IN
2 Years
No C2C at this moment. Any visa works
• Exposure to course work or projects in Machine Learning Libraries, Tensor Flow, Natural Language Processing (NLP) and Machine Vision
• At least 4 years' experience in application development using Python, R,
Python and R needed coming from a Java background or .NET Background.
Scala is a plus.
• At least 2 years' experience in handling data and working with database tools, e.g. SQL, Hadoop, Spark
• In this role, candidate will design, develop and create tools to get insight through application of machine learning, artificial intelligence and cognitive computing to build process automation platform. Candidate will be expected to be hands on as well as guide and mentor new analysts in the team.
Responsibilities:
• Work as a team lead in Automation and AI offering to understand underlying business problem and solutions
• Build Artificial Intelligence platform (Application development) through identification of appropriate machine learning algorithms
• As a team lead candidate will be working with various team members such as business analyst, data engineers, quality analyst, SMEs and with application developers
• Assess, document and articulate the effectiveness of different AI approaches
• Ability to create and train the models in machine learning methods including deep learning and ensembles
• Should be enthusiastic to learn and use APIs (like text analytics, language understanding etc.) to build AI and Cognitive applications
• Familiarity working with unstructured data
• Demonstrated experience solving business problems and delivering solutions to the client
• Ability to work in a multiple team and vendor environment
• Ability to work in an ambiguous and virtual environment
Qualifications
• Proven ability to work creatively and analytically in a problem-solving environment
• Desire to work in an information systems environment
• Excellent communication (written and oral) and interpersonal skills
• Excellent leadership and management skills
• Ability to work using Agile delivery methodology
• Master's Degree in a quantitative discipline such as mathematics, statistics, process engineering or operations research is preferred

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