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Ai Executive Jobs (NOW HIRING)

Geisinger

Director AI Evaluation

The Director sets that standard, leads the team that enforces it, and reports findings to the VP of AI, executive leaders, and the board. This role is a manager who develops a multidisciplinary team ...

Geisinger Health

Director AI Evaluation

Danville, PA · On-site +1

The Director sets that standard, leads the team that enforces it, and reports findings to the VP of AI, executive leaders, and the board. This role is a manager who develops a multidisciplinary team ...

Defined.ai

AI/ML Sales Executive, Enterprise (US)

We host the world's largest AI marketplace and offer end-to-end services to help companies ... Requirements: * 6+ years of proven experience working as a Sales Executive selling Professional ...

Rad AI

Head of Product

San Francisco, CA · On-site

$182K - $224K/yr

You'll work closely with Rad AI's executive team, but you won't wait for permission to act - you'll build the systems, team, and habits that let Continuity scale. In particular, you will: * Own ...

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Ai Executive information

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$26.5K

$93.6K

$184K

How much do ai executive jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai executive in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Ai Executive vs Data Scientist?

AspectAi ExecutiveData Scientist
Required CredentialsBachelor's or master's in AI, Computer Science, or related fields; certifications in AI/MLBachelor's or master's in Data Science, Statistics, Computer Science; certifications in data analysis or ML
Work EnvironmentCorporate or tech companies focusing on AI product developmentResearch labs, tech firms, or industries analyzing data for insights
Employer & Industry UsageOrganizations developing AI solutions, tech startups, large enterprisesBusinesses across sectors using data analysis for decision-making

While both roles require knowledge of AI and data analysis, an Ai Executive typically focuses on strategic AI implementation and leadership, whereas a Data Scientist concentrates on analyzing data to generate insights. The Ai Executive oversees AI projects and aligns them with business goals, while Data Scientists develop models and algorithms to solve specific problems.

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What are the most commonly searched types of Ai jobs?

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Ai Executive jobs near you
Infographic showing various Ai Executive job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Blackstone Credit & Insurance - AI Engineer, Principal

The Blackstone Group L.P.

Manhattan, NY • On-site

$215 - $250/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Blackstone is the world’s largest alternative asset manager and seeks to deliver compelling returns for institutional and individual investors. BXCI AI identifies and responds to AI-driven disruption risk across the BXCI portfolio, working directly with portfolio company leadership to assess competitive exposure and develop strategies for long-term viability.

Role

This position is the primary technical partner to the BXCI AI Operating team across the full engagement lifecycle—from initial assessment through strategy development, partner selection, and hands‑on execution. The right candidate is a builder with strong business instincts, deep fluency in the modern AI stack, and the ability to form rapid, defensible opinions about unfamiliar technical systems.

Responsibilities
  • Assess portfolio companies’ technical reality (architecture, data assets, infrastructure, talent), translate findings into strategic insight, contribute to internal memos, and build rapid prototypes to validate proposed strategic moves.
  • Build and maintain internal tools that make the team more effective: research automation, assessment templates, tracking systems, and reusable components that accelerate work across the portfolio.
  • Lead technical diligence on implementation partners, monitor their delivery during active engagements, and participate in working sessions with portfolio company teams alongside the AI Executive.
Qualifications
  • 5+ years building AI/ML systems in production environments.
  • Fluency in foundation models, agent frameworks, RAG architectures, vector databases, and evaluation frameworks.
  • Strong Python engineering skills with experience building APIs and AI‑powered applications.
  • Experience shipping AI-enabled products or features to real users.
  • Familiarity with cloud infrastructure and production deployment (AWS, GCP, or Azure).
  • Proficiency in rapidly assessing unfamiliar technical systems and forming defensible architectural views.
  • Strong written and verbal communication for senior audiences.
  • Preferred: Experience with Model Context Protocol (MCP) or agent‑facing API design.
  • Preferred: Familiarity with SaaS or enterprise software businesses.
  • Preferred: Prior experience in consulting, investing, or technical diligence.
  • Preferred: Exposure to private equity, credit, or portfolio operations environments.
  • No prior financial services experience required.
Compensation and Benefits

Expected annual base salary range: $215,000–$250,000. Additional compensation and benefits include comprehensive health benefits (medical, dental, vision, FSA), paid time off, life insurance, 401(k) plan, discretionary bonuses, and potential equity and incentive compensation at Blackstone’s discretion.

Equal Employment Opportunity

Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, or status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including recruiting personnel and hiring managers, are required to abide by this policy.

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