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How much do international artificial intelligence jobs pay per year?

As of Sep 8, 2026, the average yearly pay for international artificial intelligence in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What is an international artificial intelligence?

An International Artificial Intelligence job involves developing, managing, or applying AI technologies across global markets, industries, and regulatory environments. Professionals in this role work on AI research, deployment, and strategy while considering cross-border challenges such as data privacy laws, ethical AI standards, and multilingual AI models. They may collaborate with international teams, negotiate AI policies, or optimize AI solutions for diverse cultural and economic contexts. This role is common in multinational corporations, research institutions, and government organizations focusing on AI innovation and governance.

What are some common challenges faced by professionals working in international artificial intelligence roles?

Professionals in International Artificial Intelligence roles often encounter challenges such as navigating diverse regulatory requirements across countries, managing cross-cultural communication, and coordinating projects with distributed teams. These roles may also require adapting AI models for different languages, data privacy laws, and market needs, which can add complexity to development and deployment. Collaborating effectively with international partners and stakeholders is crucial, as is staying up to date with evolving global standards and best practices. Overcoming these challenges requires both technical acumen and a strong ability to work in multicultural environments, making the work both demanding and rewarding.

What are the key skills and qualifications needed to thrive in the international artificial intelligence position, and why are they important?

To thrive in an International Artificial Intelligence role, candidates typically need strong expertise in machine learning, data science, and global business strategy, often supported by an advanced degree in computer science or a related field. Familiarity with programming languages such as Python, knowledge of AI frameworks like TensorFlow or PyTorch, and relevant certifications (e.g., AWS Certified Machine Learning) are highly valued. Excellent cross-cultural communication skills, adaptability, and a collaborative mindset enable success in multi-national teams and projects. These combined skills are crucial for developing and implementing AI solutions that have wide-ranging international impact and meet diverse business needs.

What international artificial intelligence jobs are in high demand?

High-demand international artificial intelligence jobs include AI engineers, machine learning scientists, data scientists, and NLP specialists. These roles often require skills in programming languages like Python, experience with deep learning frameworks, and knowledge of cloud platforms such as AWS or Azure.

Which country is best for international artificial intelligence jobs?

For international artificial intelligence jobs, countries with strong tech industries like the United States, Canada, the United Kingdom, Germany, and Singapore offer many opportunities, especially in research, development, and data science roles. These countries often have established AI ecosystems, competitive salaries, and demand for skills in machine learning, deep learning, and programming languages such as Python and TensorFlow.
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What are the most commonly searched types of International Artificial Intelligence jobs?

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What states have the most International Artificial Intelligence jobs?

States with the most job openings for International Artificial Intelligence jobs include:

What job categories do people searching International Artificial Intelligence jobs look for?

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International Artificial Intelligence jobs near you
Infographic showing various International Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Sr. Director, Enterprise Artificial Intelligence

International Executive Service Corps

Lake Forest, CA • On-site

$250/hr

Other

Posted 26 days ago

Job description

MAIN JOB RESPONSIBILITIES / COMPETENCIES

The Director, Enterprise Artificial Intelligence is responsible for leading the Company's enterprise Artificial Intelligence (AI) strategy and driving business transformation through the adoption of AI-enabled capabilities across the organization. This role partners closely with Executive Leadership, Manufacturing, Supply Chain, Engineering, Quality Assurance, Regulatory Affairs, Commercial Operations, Finance, Human Resources, Cybersecurity, Infrastructure, and Information Technology to identify, prioritize, and implement Artificial Intelligence solutions that improve operational efficiency, decision making, customer experience, innovation, and long-term competitive advantage.

This position provides strategic leadership for enterprise AI governance, Responsible AI, Generative AI, Agentic AI, Machine Learning, Intelligent Automation, and enterprise knowledge management while ensuring AI initiatives deliver measurable business value, align with corporate objectives, and support secure, scalable, and sustainable business transformation.

  • 1.Lead and execute the Company's enterprise Artificial Intelligence strategy aligned with corporate objectives, digital transformation initiatives, and measurable business outcomes.
  • 2.Establish and operationalize an Enterprise AI Center of Excellence (AI CoE) responsible for governance, standards, reusable AI capabilities, and enterprise adoption.
  • 3.Drive enterprise business transformation through the application of Artificial Intelligence, Generative AI, Agentic AI, Machine Learning, Predictive Analytics, and Intelligent Automation.
  • 4.Partner with executive leadership and business stakeholders to identify and prioritize AI initiatives that improve operational efficiency, product quality, customer experience, revenue growth, and employee productivity.
  • 5.Develop enterprise AI roadmaps, investment strategies, business cases, and value realization plans.
  • 6.Establish Responsible AI governance, AI policies, model lifecycle management, and AI risk management practices.
  • 7.Lead implementation of RAG, semantic search, vector databases, AI assistants, and enterprise knowledge management.
  • 8.Integrate AI with Oracle Fusion ERP, OCI, OIC, Salesforce, MES, PLM, enterprise data platforms, and cloud-native applications.
  • 9.Establish KPIs and executive dashboards measuring AI adoption and business value.
  • 10.Lead organizational change management and enterprise AI adoption.
  • 11.Recruit and mentor a team of AI/Business Engineers, Data Engineer/architects and AI Product Owner.
  • 12.Evaluate emerging AI technologies and strategic technology partnerships.
  • 13.Foster innovation, continuous improvement, and responsible AI adoption.
  • 14.Other duties as assigned.
REQUIREMENTS EDUCATION & TRAINING
  • Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Engineering, Information Technology, Business Administration, or related discipline required or equivalent combination of education/experience.
  • Advanced degree preferred.
  • Professional certifications in AI, Cloud Computing, Enterprise Architecture, Cybersecurity, Project Management, or Data Analytics are highly desirable.
EXPERIENCE
  • 12+ years of progressive leadership experience in enterprise technology, digital transformation, Artificial Intelligence, data analytics, enterprise architecture, software engineering, or related disciplines.
  • 3+ years leading enterprise digital AI transformation organizations.
  • Demonstrated success developing enterprise AI strategies delivering measurable business transformation.
  • Experience with Generative AI, LLMs, Agentic AI, RAG, Machine Learning, Predictive Analytics, and Intelligent Automation.
  • Experience in integrating AI with ERP, CRM, Supply Chain, Manufacturing, Finance, HR, and enterprise platforms.
  • Experience presenting AI strategies and business outcomes to executive leadership and Boards.
  • Enterprise AI governance, organizational change management, and global business transformation.
  • FDA-regulated medical devices, biotechnology, pharmaceutical, life sciences, or other regulated industries preferred.
SKILLS
  • Strong knowledge of enterprise Artificial Intelligence strategy, governance, operating models, enterprise architecture, and business transformation methodologies, including the development of AI roadmaps, investment strategies, Centers of Excellence, and enterprise adoption frameworks.
  • Deep understanding of Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, semantic search, vector databases, AI assistants, autonomous agents, and intelligent automation technologies.
  • Strong understanding of Machine Learning, Predictive Analytics, Natural Language Processing (NLP), Computer Vision, AI model lifecycle management, model evaluation, MLOps, LLMOps, and enterprise AI platform operations.
  • Strong knowledge of enterprise cloud platforms including Oracle Cloud Infrastructure (OCI), Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), cloud-native architectures, APIs, microservices, enterprise integration, event-driven architectures, and hybrid cloud environments.
  • Deep understanding of enterprise data architecture, data governance, master data management, metadata management, data quality, knowledge management, vector storage, and enterprise information management principles supporting AI-enabled decision making.
  • Strong understanding of Responsible AI principles, AI governance, cybersecurity, privacy, regulatory compliance, intellectual property protection, model transparency, explainability, AI ethics, enterprise risk management, and secure AI deployment practices.
  • Demonstrated ability to align Artificial Intelligence investments with corporate strategy by developing business cases, value realization frameworks, key performance indicators (KPIs), executive dashboards, and measurable financial and operational outcomes.
  • Ability to partner effectively with Executive Leadership, Information Technology, Manufacturing, Engineering, Supply Chain, Quality Assurance, Regulatory Affairs, Finance, Human Resources, Cybersecurity, Legal, and external technology partners to deliver enterprise-wide AI capabilities.
  • Excellent analytical, strategic planning, organizational, communication, executive presentation, negotiation, financial management, vendor management, stakeholder engagement, and organizational change management skills.
  • Demonstrated leadership building, mentoring, and scaling high-performing multidisciplinary teams consisting of AI Engineers, Data Scientists, Machine Learning Engineers, AI Solution Architects, Enterprise Architects, Product Managers, and business technology professionals.
  • Proven ability to lead enterprise modernization initiatives, drive innovation, establish AI governance, manage organizational change, and deliver measurable business transformation while maintaining secure, scalable, and responsible AI practices.

Pay range: $200K - $300K - Final compensation/salary will depend on experience.

STAAR Surgical is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran or disability status, or any other characteristic protected by law #USA

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