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Enterprise Ai Jobs (NOW HIRING)

Velocity Search Group

Enterprise AI Architect

Manhattan, NY · On-site

$76 - $98/hr

Velocity Search Group is seeking an Enterprise AI Architect for a leading asset management firm located in New York City. The role involves designing, developing, and leading enterprise AI and ...

Nihon Kohden USA

Enterprise AI Lead

Irvine, CA

The Enterprise AI Lead is responsible for supporting the development and leading the execution of the organization's Artificial Intelligence (AI) strategy, governance framework, and adoption roadmap.

Nihon Kohden

Enterprise AI Lead

Irvine, CA

The Enterprise AI Lead is responsible for supporting the development and leading the execution of the organization's Artificial Intelligence (AI) strategy, governance framework, and adoption roadmap.

Tiger Analytics Inc.

Enterprise AI Architect

Dallas, TX · On-site +1

$68.25 - $88/hr

Join us to do great work and shape the future of enterprise AI. Tiger Analytics looking for an experienced Enterprise AI Architect to lead the design and implementation of enterprise-scale AI ...

Tiger Analytics Inc.

Enterprise AI Architect

Dallas, TX · Remote

$70.75 - $91/hr

Join us to do great work and shape the future of enterprise AI. Tiger Analytics looking for an experienced Enterprise AI Architect to lead the design and implementation of enterprise-scale AI ...

Tiger Analytics Inc.

Enterprise AI Architect

Dallas, TX

$68.25 - $88/hr

Join us to do great work and shape the future of enterprise AI. Tiger Analytics looking for an experienced Enterprise AI Architect to lead the design and implementation of enterprise-scale AI ...

Navitus Health Solutions, LLC

Engineer, Enterprise AI

$105K - $150K/yr

The Engineer, Enterprise AI is responsible for designing, building, and operationalizing enterprise AI capabilities that enable the scalable adoption of Artificial Intelligence and Agentic AI across ...

Schneider

Enterprise AI Architect

Green Bay, WI · On-site

$67 - $86.50/hr

Enterprise AI Architect Work model:Hybrid Location:Green Bay, WI, USA Shift:First shift Job level:Individual Contributor Schedule:Full time; Mon-Fri 1st Shift Apply now Get job alerts Job overview:

LMI Consulting, LLC

Enterprise AI Lead

Tysons, VA · On-site

Enterprise AI Lead Job Locations US-VA-Tysons Job ID 2026-14096 # of Openings 1 Benefit Type Salaried High Fringe/Full-Time Overview We are looking for an Enterprise AI Lead to design, build, and ...

Northern Base

Enterprise AI Architect

Eden Prairie, MN · On-site

$180K - $200K/yr

Must Have Technical/Functional Skills Enterprise AI Architect with Full Development Experience (FDE), possessing deep expertise in architecture, hands-on software engineering, AI-assisted development ...

Mercor

Enterprise AI Lead

New York, NY · On-site

$150K - $300K/yr

Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their ...

Mercor

Enterprise AI Lead

San Francisco, CA · On-site

$150K - $300K/yr

Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their ...

LMI

Enterprise AI Lead

Tysons, VA

We are looking for an Enterprise AI Lead to design, build, and scale AI capabilities across the organization. This is a hands-on leadership role focused on developing real systems--not just strategy ...

LMI

Enterprise AI Lead

Tysons, VA · On-site

Overview We are looking for an Enterprise AI Lead to design, build, and scale AI capabilities across the organization. This is a hands-on leadership role focused on developing real systems-not just ...

Jorie AI

Enterprise AI Enablement Lead

Oak Brook, IL · Remote

Lead enterprise-wide AI adoption initiatives across business and technical departments. * Evaluate business processes to identify opportunities for AI-assisted productivity improvements. * Develop ...

LMI

Enterprise AI Lead

Tysons, VA · On-site

Overview We are looking for an Enterprise AI Lead to design, build, and scale AI capabilities across the organization. This is a hands-on leadership role focused on developing real systems-not just ...

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Enterprise Ai information

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How much do enterprise ai jobs pay per year?

As of Aug 10, 2026, the average yearly pay for enterprise ai in the United States is $115,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $135,500.00 per year, depending on experience, location, and employer.

What is the easiest enterprise AI job to get into?

Entry-level roles in enterprise AI often include positions such as AI support analyst or data analyst, which typically require basic knowledge of programming languages like Python or SQL and understanding of data management. These roles may also benefit from certifications in data analysis or machine learning fundamentals and usually have lower experience requirements compared to specialized AI engineering positions.

Which enterprise AI job is highly paid?

Senior roles in enterprise AI, such as AI Solutions Architect, Machine Learning Director, or AI Product Manager, tend to be the highest paid. These positions require advanced skills in AI development, leadership, and often certifications or extensive experience, with salaries often exceeding six figures depending on the industry and location.

What is an Enterprise AI?

An Enterprise AI job involves developing, deploying, and managing artificial intelligence solutions at a large-scale organizational level. Professionals in this role work on AI strategy, machine learning models, data management, and automation to optimize business operations. They collaborate with cross-functional teams to integrate AI-driven insights into workflows, improving efficiency and decision-making. Common roles include AI engineers, data scientists, and AI architects focused on enterprise-scale solutions.

What does an Enterprise AI do?

A professional in Enterprise AI typically spends their days designing and developing AI models, analyzing large datasets to identify trends, and collaborating with business stakeholders to identify areas where AI can add value. They may also be involved in integrating AI solutions into existing enterprise systems, monitoring performance, and troubleshooting issues as they arise. Teamwork is common, working closely with data engineers, software developers, product managers, and executive leadership to ensure alignment with broader business objectives. Additionally, they often stay up to date with emerging AI technologies and best practices to drive ongoing innovation and improvements.

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

To thrive in Enterprise AI roles, you need expertise in artificial intelligence, machine learning, data analytics, and enterprise IT systems, often demonstrated by a relevant degree or significant experience. Familiarity with platforms such as TensorFlow, PyTorch, AWS, Azure, and certifications like AWS Certified Machine Learning or Microsoft Azure AI Engineer are highly beneficial. Strong communication, project management, and problem-solving abilities enable effective cross-functional collaboration and innovation. These skills are crucial for deploying AI solutions that drive business value, streamline operations, and ensure technology aligns with organizational goals.

More about Enterprise Ai jobs
What cities are hiring for Enterprise Ai jobs? Cities with the most Enterprise Ai job openings:
What states have the most Enterprise Ai jobs? States with the most job openings for Enterprise Ai jobs include:
What job categories do people searching Enterprise Ai jobs look for? The top searched job categories for Enterprise Ai jobs are:
Enterprise Ai jobs near you
Infographic showing various Enterprise Ai job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $115,331 per year, or $55.4 per hour.

Enterprise AI Lead

Nihon Kohden America, LLC

Irvine, CA • On-site

Full-time

Posted 7 days ago

Job description

The Enterprise AI Lead is responsible for supporting the development and leading the execution of the organization's Artificial Intelligence (AI) strategy, governance framework, and adoption roadmap. This role serves as the central point of coordination for AI initiatives across the enterprise, partnering with business and IT technical teams to identify opportunities, establish standards, enable responsible AI adoption, and drive measurable business value.
The Enterprise AI Lead collaborates closely with Infrastructure, Cybersecurity, Enterprise Applications, Software Development, Data & Analytics, and key stakeholders to ensure AI capabilities are effectively integrated into organizational processes, technology platforms, and ways of working.
The role focuses on building enterprise AI capabilities, governance, and organizational maturity while enabling technical teams to leverage AI safely, responsibly, and effectively.
Essential Functions and Main Duties
  • AI Strategy & Roadmap: Develop, support, and drive execution of the enterprise AI strategy, roadmap, and adoption plans aligned with business objectives. Evaluate emerging AI technologies, architectures, and industry trends to identify innovation opportunities and recommend enterprise AI technology direction, standards, and implementation approaches.
  • AI Opportunity & Metrics: Identify and prioritize AI opportunities that improve operational efficiency, customer experience, employee productivity, software development effectiveness, and decision-making. Establish success metrics, monitor progress against strategic objectives, and measure business value realization.
  • AI Governance Frameworks, Risk & Compliance: Develop, support, and coordinate enterprise AI governance through the creation of policies, standards, reference architectures, and best practices. Participate in governance reviews, architecture reviews, and technology evaluations for AI-related initiatives. Partner with Cybersecurity, Legal, Compliance, and Risk Management teams to ensure responsible AI adoption while addressing data privacy, security, intellectual property, regulatory compliance, and ethical AI.
  • Enterprise AI Architecture, Standards & Technology Selection: Develop and contribute to enterprise AI architecture, technical standards, and implementation patterns for AI-assisted software development, knowledge management, automation, and business process optimization. Collaborate with Infrastructure, Security, Data, Enterprise Applications, and Software Development teams to build scalable, secure, and maintainable AI platforms. Design, architect, develop, deploy, and continuously improve enterprise AI solutions, including AI applications, AI agents, automation workflows, AI-assisted software capabilities, application-embedded AI features, and integrations using enterprise AI platforms and services. Provide technical leadership throughout the AI solution lifecycle by establishing solution architectures, guiding technical implementation, conducting architecture and design reviews, evaluating technologies, supporting proof-of-concepts and production deployments, and ensuring solutions meet enterprise architecture, security, scalability, maintainability, and business needs.
  • Enterprise Adoption Leadership: Lead enterprise AI adoption initiatives across business and technical organizations. Coach and advise executives, project teams, architects, software engineers, and business stakeholders on AI opportunities, solution architecture, implementation approaches, and enterprise best practices.
  • AI Literacy & Communities: Develop AI training, technical enablement, engineering standards, awareness programs, and Communities of Practice to improve enterprise AI literacy, software engineering effectiveness, and responsible AI usage across business and technical teams.
  • Use Case Management: Facilitate identification, evaluation, and prioritization of enterprise AI use cases. Support business case development, technical feasibility assessments, proof-of-concepts, pilot programs, and enterprise deployment planning.
  • Program Tracking & Reporting: Coordinate with PMO and business stakeholders to track AI initiatives, technical deliverables, outcomes, risks, dependencies, adoption metrics, and value realization across enterprise AI programs.
  • AI Advisory & Collaboration: Serve as the enterprise AI technical subject matter expert and trusted advisor to leadership and technical teams. Provide technical leadership, architectural guidance, and implementation recommendations across Infrastructure, Cybersecurity, Enterprise Applications, Data & Analytics, Software Development, and business functions.
  • Thought Leadership & Global Execution: Promote a culture of innovation, continuous learning, technical excellence, and responsible AI usage. Provide thought leadership on AI technologies, engineering best practices, enterprise architecture, and emerging industry trends. Collaborate effectively with global teams across multiple time zones, including Japan Headquarters and other international locations, to deliver enterprise AI capabilities while exercising a high degree of independent judgment and technical leadership.
  • Adhere to all company policies, procedures, and business ethics codes.
  • Duties may be modified or assigned at any time based on business need.

Qualifications
Education / Certification / Experience Required:
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Business Information Systems, or a related field; relevant education and experience accepted in lieu of degree.
  • AI, Cloud, Architecture, or Data-related certifications preferred.
  • Examples include:
    • Microsoft Azure AI Engineer Associate
    • Microsoft Azure Solutions Architect Expert
    • AWS Certified Machine Learning Specialty
    • Google Professional Machine Learning Engineer
    • TOGAF
    • Certified Information Systems Security Professional (CISSP)
  • 8+ years of experience in Information Technology, Enterprise Architecture, Digital Transformation, Software Development, Data & Analytics, or related disciplines.
  • 3+ years of experience leading or supporting AI, Machine Learning, Generative AI, Automation, or Digital Transformation initiatives.
  • Experience working with cross-functional business and technical teams in a complex enterprise environment.
  • Experience developing technology strategies, governance frameworks, standards, or enterprise roadmaps.
  • Experience managing technology programs, initiatives, or organizational change efforts.

Competencies Required:
  • Ability to follow written and verbal direction and established processes/policies.
  • Excellent organizational skills.
  • Demonstrated ability to solve problems and troubleshoot.
  • Strong record-keeping skill: Ability to follow through and document issues and resolutions.
  • Must be able to communicate verbally and in writing, and to receive and understand verbal and written instructions in English.
  • Able to work effectively both independently and in a collaborative team environment.

Compensation
The anticipated range for this position is $93,600 to $135,200. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, experience and location.
Perks and Benefits
Visit our Career page to learn more about Perks & Benefits and working at Nihon Kohden America
Working Conditions
Schedule: The regular hours for this full-time position are 8:00 a.m. to 5:00 p.m., Monday-Friday, unless otherwise stated by the department manager. Holiday, weekend, and evening work hours may be required. Regular hours may vary due to the needs of the organization or department and are subject to change at any time at the Company's discretion.
Physical: Generally may require some reaching, bending, stooping, squatting, crawling, kneeling, pushing, pulling, lifting, carrying up to 20 pounds, finger dexterity, repetitive motions, standing, walking, sitting, hearing, visual acuity, and color vision. More specific details may be provided as needed or requested.
Travel: Minimal
Access to Customer Sites: Not Required
Nihon Kohden America is committed to maintaining a professional and respectful workplace free from discrimination, harassment, and retaliation and welcomes all qualified candidates to apply. Employment decisions are based on qualifications, experience, and business needs, without regard to legally protected characteristics. This policy applies to all employment actions, including recruitment, hiring, promotion, compensation, training, and other workplace practices.
Nihon Kohden America complies with all applicable federal, state, and local laws regarding equal employment opportunity. Employees and applicants will not be subject to harassment or retaliation for asserting their legal rights. Questions or concerns regarding this policy may be directed to Human Resources at HREmployeeServices@nihonkohden.com.

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