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Ai Operator Jobs (NOW HIRING)

CGI Inc.

AI Strategist

Houston, TX · On-site

$78K - $90K/yr

Design AI operating models across governance, talent, platform, delivery, funding, and adoption . Advise CIOs, CTOs, business executives, and boards on AI adoption, risk, competitive differentiation ...

CGI

AI Strategist

Houston, TX · On-site

$116K - $149K/yr

Design AI operating models across governance, talent, platform, delivery, funding, and adoption . Advise CIOs, CTOs, business executives, and boards on AI adoption, risk, competitive differentiation ...

Commure

Software Engineer, Ambient AI

Mountain View, CA · On-site

AI Operating System For Healthcare At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans ...

SPARETECH

Senior Marketing AI Manager

Chicago, IL · On-site

Marketing AI operating model: Define how AI is used across the marketing organization, including approved tools, role-based use cases, prompt and evaluation standards, human-review rules, and ...

SPARETECH

Senior Marketing AI Manager

Chicago, IL · On-site

Marketing AI operating model: Define how AI is used across the marketing organization, including approved tools, role-based use cases, prompt and evaluation standards, human-review rules, and ...

Commure

Software Engineer, Air AI

Los Angeles, CA · On-site

AI Operating System For Healthcare At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans ...

Commure

Software Engineer, Air AI

San Francisco, CA · On-site

AI Operating System For Healthcare At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans ...

Broccoli AI

Software Engineer

San Francisco, CA · On-site

About Broccoli Broccoli is building the AI operating system for home service businesses . We work with plumbing, HVAC, and electrical contractors - the people who keep homes running - and we replace ...

Broccoli AI

Software Engineer

San Francisco, CA · On-site

$150K - $300K/yr

About Broccoli Broccoli is building the AI operating system for home service businesses . We work with plumbing, HVAC, and electrical contractors - the people who keep homes running - and we replace ...

GHJ

AI Strategy & Operations Advisor

Los Angeles, CA · On-site

$150 - $200/hr

The right candidate has done this before, can move quickly, and knows how to align a leadership team around a credible AI operating model. Responsibilities: * Assess the client's current AI maturity ...

Commure

Senior Software Engineer, Ambient AI

San Francisco, CA · On-site

$144K - $190K/yr

AI Operating System For Healthcare At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans ...

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How much do ai operator jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for ai operator in the United States is $23.04, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $21.88 per hour, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

An AI operator can potentially earn $10,000 or more per month by managing and optimizing AI systems, especially in high-demand industries like technology and finance. Success in this role depends on strong technical skills, experience with AI tools, and the ability to work independently or in a team environment. While a degree is not always required, relevant certifications or self-taught expertise can be beneficial.

What is an AI operator?

An AI operator is a professional responsible for managing, monitoring, and maintaining artificial intelligence systems and algorithms. They often work with machine learning models, data processing tools, and AI software to ensure optimal performance and accuracy in various applications.

What are the typical daily responsibilities of an AI Operator?

An AI Operator is responsible for monitoring and maintaining AI systems, ensuring their optimal performance and addressing any malfunctions or anomalies that arise. This often includes reviewing AI-generated outputs, troubleshooting technical issues, updating software, performing regular system health checks, and coordinating with data scientists, engineers, or end-users to meet operational goals. Many AI Operators work in a collaborative, team-based environment where timely communication and documentation are essential. The role may also involve reporting on system metrics, assisting with model retraining, and supporting the deployment of updates or improvements.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, machine learning director, or AI research scientist, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized expertise, and may be found in large tech companies or research institutions with competitive compensation packages. Such salaries reflect the high demand for AI expertise and the complexity of the work involved.

How much does an AI operator make?

AI operators typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of tasks. Entry-level positions may start lower, while experienced operators with specialized skills or certifications can earn higher salaries.

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

To thrive as an AI Operator, you need a foundational understanding of machine learning workflows, computer science principles, and proficiency with data processing, typically supported by a relevant technical degree or certification. Familiarity with AI management platforms, automated monitoring tools, and scripting languages like Python is highly valuable. Attention to detail, problem-solving skills, and effective communication are important soft skills for this role. These capabilities ensure smooth AI system operations, rapid issue resolution, and effective collaboration within multidisciplinary teams.

What is an AI Operator job?

An AI Operator is responsible for managing, monitoring, and optimizing artificial intelligence systems to ensure they function efficiently and effectively. They work with machine learning models, troubleshoot AI-related issues, and oversee the deployment of AI-driven solutions. Their role often requires technical skills in data processing, software tools, and automation workflows to maintain system performance and reliability. AI Operators may collaborate with engineers and data scientists to enhance AI capabilities and implement improvements.

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Ai Operator jobs near you
Infographic showing various Ai Operator job openings in the United States as of June 2026, with employment types broken down into 56% Full Time, 42% Part Time, 1% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $47,930 per year, or $23 per hour.
Engineering Director - Head of AI Engineering

Engineering Director - Head of AI Engineering

M&T Bank

Buffalo, NY • On-site

Full-time

Posted 3 days ago

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 181 frontline employees who took The Breakroom Quiz

65th of 141 rated banks

Job description

Overview
The Director of AI Engineering manages the activities and strategic direction of multiple departments, including indirectly managing diverse Engineering and Architecture teams and enterprise AI Engineering platform teams. This role is responsible for budgets across multiple cost centers spanning concurrent development streams and provides both long- and short-term strategic direction in partnership with Engineering, Architecture, and Technology senior management.
The Director serves as a primary contact to Divisional peers, Management Group members, Bank-wide senior management, and business partners. As a technology leader and industry expert, this role focuses on establishing AI (including Generative AI) as a governed, scalable, and value-driven enterprise capability embedded within modern software delivery.
This position leads the strategic direction, operating model, and execution of enterprise AI Engineering, GenAI platforms, and AI-enabled SDLC capabilities. The role is accountable for defining and operationalizing an end-to-end AI operating model spanning platform engineering, governance, security, and delivery, enabling consistent enterprise adoption while meeting risk, compliance, and regulatory requirements.
Primary Responsibilities
Divisional Strategy, Leadership & Operating Model
  • Build Technology divisional strategy across departments in partnership with peers and Technology senior management, positioning AI and GenAI as core enterprise engineering capabilities
  • Define and execute enterprise AI strategy and adoption roadmaps aligned to business outcomes and measurable value realization
  • Establish and operationalize an end-to-end AI operating model spanning platform engineering, delivery execution, governance, and risk
  • Partner with senior leaders outside of Technology to build strong client relationships supporting delivery of complex technology initiatives, including AI-enabled transformation
  • Serve as a primary interface to Technology leadership, business partners, and risk stakeholders, ensuring alignment, performance, and organizational development across AI engineering and platform teams

AI Platform & Engineering Enablement (GenAI, LLMs, AI-Enabled DevEx)
  • Lead enterprise AI platform capabilities including GenAI platforms, LLM integration patterns, model and tool onboarding, and AI-enabled developer experience
  • Drive automation-first SDLC transformation by embedding AI into development, testing, security, quality, and delivery workflows
  • Oversee standardization of repositories, CI/CD pipelines, and engineering tooling to enable scale, reuse, and consistent governance
  • Ensure integration of AI capabilities across enterprise platforms and delivery pipelines in alignment with Divisional standards and long-range plans
  • Monitor industry trends and vendor offerings relevant to AI engineering and SDLC modernization and initiate change when appropriate

Delivery Execution, Adoption & Change Management
  • Oversee systems development activities of assigned teams, including staff assignments and ensuring timely completion within budget
  • Define and manage AI delivery roadmaps, adoption models, success metrics, dependencies, milestones, and KPI/OKR reporting
  • Implement maturity-based adoption models (e.g., sandbox, controlled pilot, production) to scale usage while maintaining appropriate guardrails
  • Drive enterprise adoption, enablement, and change management to increase developer productivity and accelerate delivery outcomes

Governance, Risk, Compliance & Responsible AI
  • Define and operationalize AI standards, policies, and guardrails that balance enablement with compliance through automated controls and documentation
  • Partner with Risk, Security, and Compliance teams to embed controls and regulatory alignment into AI platforms, pipelines, and AI-enabled SDLC workflows
  • Maintain internal control standards, including timely implementation of internal and external audit requirements and remediation of regulatory findings
  • Ensure adherence to the Company's risk and regulatory standards in alignment with the Company's Risk Appetite
  • Design, implement, maintain, and enhance internal controls to mitigate risk and escalate issues as appropriate
  • Ensure activities comply with all Department and Technology standards, procedures, and documentation requirements

Metrics, Performance & Optimization
  • Establish enterprise metrics for AI adoption, SDLC impact, platform performance, reliability, and value delivery
  • Drive continuous improvement through data-driven insights and outcome-based reporting to senior management
  • Optimize AI platform cost, licensing, utilization, and vendor spend across multiple cost centers

Technology, Vendor & Financial Management
  • Manage multiple Technology departments with responsibility for financial, compliance, HR, and risk operations
  • Lead vendor and product evaluations to ensure delivery of optimal solutions within available resources and budget
  • Manage strategic vendor and professional relationships to remain current on AI trends, best practices, and emerging capabilities

People Leadership & Culture
  • Exercise full managerial authority related to staffing, performance management, promotions, compensation, and terminations
  • Build and lead enterprise AI engineering and platform organizations, establishing clear accountability across platform, delivery, and governance functions
  • Promote an inclusive environment that supports belonging and reflects the M&T Bank brand
  • Encourage teamwork and serve as a role model in leadership and collaboration

Scope of Responsibilities
  • Oversees teams primarily composed of engineers, architects, Engineering Supervisors, Team Leads, Managers, and Senior Managers
  • Includes enterprise AI engineering and platform teams enabling GenAI and LLM adoption and AI-enabled SDLC capabilities

Supervisory / Managerial Responsibilities
  • 50-100 employees (direct and indirect), including potential contractor resources aligned to delivery and platform needs

Education, Skills, and Experience Required
  • A combined minimum of 15 years of higher education and/or work experience
    • Minimum 4 years of engineering and/or architecture experience
    • Minimum 11 years of large technology management or program leadership experience, including people management
  • Proficiency with project management, word processing, and spreadsheet applications
  • Ability to manage multiple complex initiatives simultaneously
  • Experience with large system enhancements, conversions, and production issue resolution
  • Complete understanding of the system development life cycle
  • Strong problem-solving, analytical, and decision-making skills
  • Familiarity with application development platforms, software, and hardware
  • Strong understanding of supported business domains and terminology
  • Excellent written and verbal communication skills
  • Confidence leading large, geographically distributed teams (100+ employees)
  • Expertise presenting to senior management
  • Demonstrated experience defining enterprise AI and GenAI strategies, operating models, and adoption roadmaps
  • Extensive experience leading enterprise-scale AI engineering, GenAI/LLM platforms, and developer platforms
  • Proven ability to drive cross-functional alignment across engineering, business, risk, security, and compliance
  • Experience leading large-scale platform modernization and AI-enabled SDLC transformation initiatives
  • Experience establishing AI governance guardrails, operational controls, audit readiness, and regulatory compliance

Education and Experience Preferred
  • Master's degree
  • Minimum of 14 years of technology management or large program leadership experience
  • Extensive application and product domain expertise within the technology area being led
  • Subject matter expert understanding of supported applications and integrated systems
  • Understanding of multiple business functions
  • Proven mentoring and leadership capabilities across multiple management layers
  • Extensive experience leading enterprise developer platforms or engineering enablement organizations
  • Subject matter expertise in developer tooling, CI/CD, reliability, and quality engineering
  • Strong expertise in GenAI and LLM platforms and enterprise adoption patterns
  • Strong understanding of the Bank's application framework and strategic objectives

#LI-JB3
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $201,200.00 - $335,300.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Buffalo, New York, United States of America

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