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Artificial Intelligence Engineer Vice President Jobs

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Job Title: Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the development and deployment of machine learning models and analytical solutions for ...

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Artificial Intelligence Engineer Vice President information

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$112.5K

$215.6K

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How much do artificial intelligence engineer vice president jobs pay per year?

As of Jul 17, 2026, the average yearly pay for artificial intelligence engineer vice president in the United States is $215,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $180,000.00 and $232,000.00 per year, depending on experience, location, and employer.

How does an Artificial Intelligence Engineer Vice President typically collaborate with cross-functional teams to drive AI initiatives?

As an Artificial Intelligence Engineer Vice President, you will frequently work with data scientists, software engineers, product managers, and business leaders to align AI projects with organizational goals. Your role often involves translating complex technical concepts into actionable business strategies, overseeing project execution, and ensuring regulatory compliance. Building effective communication channels and fostering a collaborative culture are key to successfully leading AI initiatives across departments. This cross-functional collaboration not only enhances innovation but also ensures that AI solutions deliver tangible business value.

What are Artificial Intelligence Engineer Vice Presidents?

Artificial Intelligence Engineer Vice Presidents are senior leaders who oversee AI engineering teams and initiatives within an organization. They are responsible for setting the vision and strategy for AI development, managing large-scale AI projects, and ensuring alignment with business goals. In addition to technical expertise in AI, machine learning, and data science, they possess strong leadership, project management, and communication skills. Their role often involves collaborating with other executives, guiding research and development, and driving innovation in AI technologies.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Engineer Vice President, and why are they important?

To thrive as an Artificial Intelligence Engineer Vice President, you need advanced expertise in AI/ML algorithms, data science, and software engineering, supported by a graduate degree in computer science or a related field and significant leadership experience. Mastery of tools like Python, TensorFlow, PyTorch, cloud computing platforms, and knowledge of enterprise-level AI frameworks is typically required, along with certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Exceptional leadership, strategic thinking, and communication skills help drive innovation, align AI initiatives with business goals, and manage high-performing teams. These competencies ensure effective deployment of AI solutions at scale, fostering organizational growth and maintaining a competitive edge in the rapidly evolving tech landscape.
What cities are hiring for Artificial Intelligence Engineer Vice President jobs? Cities with the most Artificial Intelligence Engineer Vice President job openings:
What are the most commonly searched types of Artificial Intelligence Engineer jobs? The most popular types of Artificial Intelligence Engineer jobs are:
What states have the most Artificial Intelligence Engineer Vice President jobs? States with the most job openings for Artificial Intelligence Engineer Vice President jobs include:
What job categories do people searching Artificial Intelligence Engineer Vice President jobs look for? The top searched job categories for Artificial Intelligence Engineer Vice President jobs are:
Artificial Intelligence Engineer Vice President jobs near you
Infographic showing various Artificial Intelligence Engineer Vice President job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 4% Part Time, 4% Temporary, and 9% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $215,595 per year, or $103.7 per hour.
Artificial intelligence Engineer - Vice President

Artificial intelligence Engineer - Vice President

iCapital

New York, NY • On-site

$170K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

About the Role
iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This role is ideal for a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team.
This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. This role is expected to bring independent judgment on technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions.
Responsibilities
  • Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, and agentic orchestration, to power internal and external workflow automation at scale.
  • Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery.
  • Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform.
  • Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement.
  • Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly.
  • Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group.
  • Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity.

Qualifications
  • 7+ years of experience developing production AI/ML systems, including hands-on experience with AWS or cloud-native development patterns for AI/ML workloads and a demonstrated track record of delivering complex systems from inception through production
  • Strong proficiency in Python and demonstrated ability to build well-engineered, maintainable software, including adherence to software engineering best practices (i.e. source control, CI/CD, testing, and documentation)
  • Deep expertise in at least one of the following: LLM-based systems (fine-tuning, inference optimization, prompt engineering, modern tooling AI tooling, such as transformers, vLLM, or agentic frameworks), document intelligence and IDP, or ML system design (training pipelines, model serving, evaluation infrastructure)
  • Experience designing and operating end-to-end ML pipelines in production, including model training, deployment, monitoring, and iteration (MLOps)
  • Solid fundamentals in statistics, experimentation, and data quality with the ability to reason rigorously about metrics, error patterns, and the limitations of AI systems
  • Experience leading technical design, mentoring engineers, and driving architectural decisions within a team
  • Strong written and verbal communication skills to represent the team in cross-functional settings, document technical designs, and communicate effectively with both technical and non-technical stakeholders
  • Experience spanning more than one of LLM systems, document intelligence, and ML platform and infrastructure
  • Familiar with agentic architectures and protocols (i.e. MCP andA2A) or designing multi-step, tool-using AI workflows
  • Knowledge of cost and latency optimization for LLM inference at scale (i.e. quantization, batching strategies, and model routing)
  • Prior experience in financial services or FinTech, particularly in document-heavy or compliance-sensitive domains
  • Contributions to open-source projects or published technical writing demonstrating thought leadership in applied AI

Benefits
The base salary range for this role is $170,000 to $200,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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