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Ai Operations Jobs (NOW HIRING)

About Bretton AI Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on ...

The AI Operations Analyst will play a key role in supporting the firm's growing AI Operations function, working closely with the Senior Manager, AI Operations to help execute and advance the AI ...

AI Operations Lead

San Francisco, CA · On-site

$150K - $200K/yr

Raised $25M+ from Khosla Ventures and YC The Role We are hiring an AI Operations Lead to build the internal systems that enable Broccoli to scale. As we 5x headcount in 2026, leverage is everything ...

Manager, AI Operations

Culver City, CA · On-site

$129K - $162K/yr

The Manager, AI Operations is responsible for facilitating SPE's AI operational cadence, portfolio management activities and enterprise AI programs. Reporting to the Vice President, AI Strategy and ...

The Director of AI Operations will own the delivery of AI automation use cases, manage project portfolios, and lead a team to enhance system integration and operational efficiency. Responsibilities ...

About the Role AI Operations & Automation Delivery * Own end-to-end delivery of AI automation use cases across GIS systems - from scoping and build through deployment and ongoing operations * Manage ...

About the Role AI Operations & Automation Delivery * Own end-to-end delivery of AI automation use cases across GIS systems - from scoping and build through deployment and ongoing operations * Manage ...

Associate AI Operations

Provo, UT · On-site

$50K - $90K/yr

Associate AI Operations Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that ...

Associate AI Operations Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that ...

The role involves building AI-powered workflows, collaborating with various departments, and establishing standards and tooling to enhance operational efficiency. Responsibilities : • Own a ...

Salary: $50,000 to $90,000 Associate AI Operations Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ...

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Ai Operations information

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How much do ai operations jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for ai operations in the United States is $24.15, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $27.64 per hour, depending on experience, location, and employer.

How does an AI Operations professional typically collaborate with data scientists and IT teams?

AI Operations professionals often act as a bridge between data science teams, who develop machine learning models, and IT teams, who manage infrastructure. They work closely to ensure models are deployed smoothly, monitored for performance, and integrated into production environments. Regular communication and troubleshooting are essential, as AI Ops professionals must understand both the technical requirements of the models and the operational constraints of the systems. This collaborative approach helps maintain reliability and scalability of AI solutions in a business setting.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI executive roles, senior data scientists, or AI research directors, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

What do AI operations do?

AI operations involve managing and maintaining AI systems to ensure their reliable performance, including tasks like deploying models, monitoring system health, troubleshooting issues, and optimizing workflows. Professionals in this field often use tools such as cloud platforms and automation scripts to support continuous integration and delivery of AI solutions.

Is AI a high paying job?

AI operations roles are generally well-paid due to the specialized skills required, such as knowledge of machine learning, data analysis, and cloud platforms. Salaries vary based on experience, location, and company size but tend to be higher than average for tech roles, especially for those with advanced certifications or expertise in AI tools.

Which 3 jobs will survive AI?

AI operations professionals, data scientists, and cybersecurity specialists are likely to continue thriving as their roles involve complex problem-solving, strategic decision-making, and safeguarding systems that are difficult to fully automate. These jobs require advanced technical skills, critical thinking, and adaptability to evolving technologies, making them more resilient to AI automation.

What are AI Operations?

AI Operations, often referred to as AIOps, is the use of artificial intelligence and machine learning technologies to automate and enhance IT operations. It involves analyzing large volumes of data generated by IT systems to detect issues, predict outages, and automate responses. AIOps helps organizations improve efficiency, reduce downtime, and quickly resolve problems by providing actionable insights and automating repetitive tasks. This approach is increasingly important as IT environments become more complex and data-driven.

What are the key skills and qualifications needed to thrive as an AI Operations professional, and why are they important?

To thrive in AI Operations, you need a strong background in computer science, data analytics, and machine learning, often supported by a degree in a related field. Familiarity with tools like Python, TensorFlow, cloud platforms (e.g., AWS, Azure), and experience with AI/ML monitoring systems is essential. Critical thinking, problem-solving, and effective communication are key soft skills for managing incidents and collaborating with cross-functional teams. These skills ensure the smooth deployment, monitoring, and optimization of AI systems, which are vital for operational reliability and business success.

What is the difference between Ai Operations vs Data Scientist?

AspectAi OperationsData Scientist
Required CredentialsCertifications in AI/ML, programming skillsStatistics, data analysis, programming
Work EnvironmentOperational teams, AI deployment, maintenanceResearch, data analysis, modeling
Industry UsageAI system management, deployment, monitoringData analysis, predictive modeling, research

Ai Operations focuses on managing and maintaining AI systems in production, ensuring their performance and reliability. Data Scientists primarily analyze data, develop models, and generate insights. While both roles require technical skills and programming knowledge, Ai Operations emphasizes deployment and operational stability, whereas Data Scientists focus on data analysis and model development.

More about Ai Operations jobs
What cities are hiring for Ai Operations jobs? Cities with the most Ai Operations job openings:
What are the most commonly searched types of Ai Operations jobs? The most popular types of Ai Operations jobs are:
What states have the most Ai Operations jobs? States with the most job openings for Ai Operations jobs include:
Infographic showing various Ai Operations job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 5% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $50,239 per year, or $24.2 per hour.
AI Operations Analyst

Full-time

Posted 3 days ago


Job description

Analysis Group is one of the largest international economics consulting firms, with more than 1,500 professionals across 15 offices in North America, Europe, and Asia. Since 1981, we have provided expertise in economics, finance, health care analytics, and strategy to top law firms, Fortune Global 500 companies, and government agencies worldwide. Our internal experts, together with our network of affiliated experts from academia, industry, and government, offer our clients exceptional breadth and depth of expertise.

The AI Operations Analyst will play a key role in supporting the firm's growing AI Operations function, working closely with the Senior Manager, AI Operations to help execute and advance the AI Operations portfolio. Responsibilities include coordinating team meetings and follow-up actions; maintaining project plans, trackers, and reporting tools; coordinating cross-functional workstreams; drafting routine communications and updates for stakeholders; helping identify training, documentation, and escalation needs across AI adoption and enablement initiatives; and conducting research, analysis, and reporting to inform decision-making and support the successful delivery of AI initiatives across the firm.

A successful AI Operations Analyst will have practical fluency with AI tools, strong operational judgment, and an ability to synthesize unstructured inputs into clear recommendations and next steps. The role requires discretion with sensitive materials, comfort working across administrative teams and consulting practices, and flexibility as the function evolves.

Essential Job Functions and Responsibilities

  • Support the Senior Manager, AI Operations in coordinating the AI Operations portfolio, including workstreams, meetings, communications, training inputs, and cross-functional follow-up across the firm.
  • Maintain project trackers, workstream plans, action-item and decision logs, blocker and escalation trackers, stakeholder lists, and recurring status summaries.
  • Track progress across AI Operations initiatives, including core workflow capabilities, tool evaluation, governance-related follow-up, and other emerging AI priorities.
  • Attend and support team meetings, including preparing agendas or input items, collecting pre-reads, capturing decisions, maintaining action logs, and tracking next steps.
  • Synthesize stakeholder input, recurring questions, tool feedback, and adoption signals to identify patterns, training or content needs, barriers to adoption, and escalation items.
  • Respond to incoming requests from consultants and administrative colleagues seeking AI-related support, guidance, resources, or escalation to the appropriate team member.
  • Help collect, organize, and maintain information related to AI use cases, tool functionality, user feedback, training needs, and adoption efforts.
  • Partner with the Senior Manager, AI Operations to prioritize topics for Learning & Development, including preparing concise briefs on audience needs, workflow context, urgency, and sensitivity or governance considerations.
  • Draft and edit routine AI Operations communications and maintain internal knowledge resources, including status updates, meeting recaps, FAQs, resource updates, intranet pages, guidance documents, and use-case or example libraries.
  • Assist with tool and workflow testing, documentation, and feedback tracking; handle sensitive AI Operations materials with discretion; and collaborate with consulting and administrative teams on special projects and evolving priorities.
  • Conduct research, analysis, and reporting to support AI Operations priorities, using critical thinking to synthesize information from multiple sources, identify trends and emerging issues, evaluate options and tradeoffs, develop recommendations, and prepare concise summaries and insights for stakeholders and decision-makers.

Qualifications

  • Bachelor’s degree required.
  • An ideal candidate will have 2-4 years of relevant experience in operations, project coordination, technology enablement, change management, knowledge management, or a related area. Experience in consulting or professional services strongly preferred.
  • High level of fluency with generative AI tools, such as ChatGPT, Claude, Copilot, Harvey, custom GPTs, or other AI tools, and demonstrated interest in AI, emerging technology, workflow automation, or digital transformation strongly preferred; experience with agentic generative AI tools, such as Claude Code or Codex, is a plus.
  • Experience supporting adoption initiatives, technology rollouts, communities of practice, consultant-facing programs, or knowledge-sharing efforts also preferred.
  • Strong organizational and project coordination skills, with the ability to manage multiple priorities, track details, maintain current information, and follow through in a fast-paced environment.
  • Strong written and verbal communication skills, including the ability to draft clear internal communications, meeting summaries, status updates, recommendations, and content-needs briefs.
  • Strong analytical mindset and comfort working with metrics, trackers, use-case repositories, operational reporting, and related data inputs.
  • Ability to apply critical thinking, ask thoughtful questions, listen for patterns, and synthesize complex or unstructured information into clear summaries, action items, reporting outputs, and practical operational recommendations.
  • Sound judgment, discretion, and professionalism when handling sensitive internal data and participating in stakeholder discussions.
  • Comfort collaborating with cross-functional stakeholders, including across consulting practices and administrative departments.
  • Strong attention to detail; proficiency with Microsoft Office applications; flexibility in an evolving function, and a proactive, inclusive, growth-oriented approach.
  • An inclusive and growth-oriented mindset, strong interpersonal skills, and an ability to work across functions.
  • To the extent permitted by applicable law, eligible candidates must be authorized to work in the United States without sponsorship or restriction, now and in the future.

Analysis Group embraces equal opportunity. We are committed to building teams that bring a variety of backgrounds, perspectives, and skills, as we believe that a strong and inclusive workforce directly supports our goal of providing the highest-quality work. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other class protected under applicable federal, state, or local law, and we encourage candidates of all backgrounds to apply.

Analysis Group offers competitive compensation and a comprehensive benefits package. The estimated salary range for this position is $80,000–$100,000. Compensation offered will be based on a number of factors including work experience, education, and skill level. This role is eligible for a discretionary annual bonus that is determined in large part by individual performance. To learn more about our benefit offerings, click here.

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