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Artificial Intelligence Engineer Director Jobs (NOW HIRING)

CYNET SYSTEMS

Artificial Intelligence Engineer

Reston, VA · On-site

$59 - $77/hr

Understanding of engineering and construction workflows is a plus. * Strong problem-solving, communication, and collaboration skills. Responsibilities: * Design, build, and implement AI/ML models for ...

Covestro

Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

Aires

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy. * Stays ...

KLA

Artificial Intelligence Engineer

Milpitas, CA · On-site

$140K - $238K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

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Artificial Intelligence Engineer Director information

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$73K

$194.7K

$254K

How much do artificial intelligence engineer director jobs pay per year?

As of Sep 8, 2026, the average yearly pay for artificial intelligence engineer director in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What is the difference between Artificial Intelligence Engineer Director vs Artificial Intelligence Engineer?

AspectArtificial Intelligence Engineer DirectorArtificial Intelligence Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; leadership experienceBachelor's or Master's in CS, AI, or related; technical skills
Work EnvironmentLeadership roles, strategic planning, team managementHands-on development, coding, model training
Employer & Industry UsageTech companies, R&D departments, startupsTech firms, research labs, AI startups
Common Search & ComparisonLeadership, strategy, managementTechnical skills, coding, model development

The main difference between an Artificial Intelligence Engineer Director and an Artificial Intelligence Engineer lies in their roles. The Director focuses on leadership, strategic planning, and managing AI teams, while the Engineer is primarily involved in technical development, coding, and building AI models. Both roles require strong technical backgrounds, but the Director also emphasizes management and organizational skills.

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Artificial Intelligence Engineer Director jobs near you

Artificial Intelligence Engineer (Remote)

San Francisco, CA • On-site, Remote

Eazifunds
Finance and Insurance • 1 - 10 employees
Learn more about Eazifundsexternal

Full-time

Re-posted 22 days ago

Job description

The Role:
We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), LLM, computer vision, robotic process automation, human in the loop, decision-making engines, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:
1. Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
2. Understand company and client challenges and how integrating AI capabilities can help lead to solutions
3. Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
4. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities:
1. Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
2. Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with an advanced engineering team and executive leadership
3. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
4. Manage a team in conducting assessments of the AI and automation market and competitor landscape
5. Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirement skills and qualifications:
1. Two or more years of experience in applying AI to practical and comprehensive technology solutions
2. Experience with ML, deep learning, TensorFlow, Python, and NLP
3. Experience in program leadership, governance, and change enablement
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
6. Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Plus:
1. A bachelor's or master's degree in computer science or related field
2. Experience with innovation accelerators
3. Experience with cloud environments
What we can offer:
1. Salary
2. Stock options
3. Performance-Based Bonus
4. Employee Benefits

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