AI Delivery Manager (10-15 Years Experience) Location: NYC, NY - ONSITE Role Overview We are seeking an experienced AI Delivery Manager to lead end-to-end delivery of AI/ML and GenAI-driven programs ...
AI Delivery Manager (10-15 Years Experience) Location: NYC, NY - ONSITE Role Overview We are seeking an experienced AI Delivery Manager to lead end-to-end delivery of AI/ML and GenAI-driven programs ...
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Ai And information
See salary details
$44.71 - $47.16
1% of jobs
$47.16 - $49.61
6% of jobs
$49.61 - $52.05
12% of jobs
$53.74 is the 25th percentile. Wages below this are outliers.
$52.05 - $54.50
9% of jobs
$54.50 - $56.95
6% of jobs
$56.95 - $59.40
7% of jobs
$59.40 - $61.84
6% of jobs
The median wage is $62.66 / hr.
$61.84 - $64.29
6% of jobs
$64.29 - $66.74
7% of jobs
$68.20 is the 75th percentile. Wages above this are outliers.
$66.74 - $69.19
22% of jobs
$69.19 - $71.63
16% of jobs
$44
$61
$71
How much do ai and jobs pay per hour?
As of Aug 16, 2026, the average hourly pay for ai and in the United States is $61.40, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $68.27 per hour, depending on experience, location, and employer.
What is the difference between Ai And and Data Analyst?
| Aspect | Ai And | Data Analyst |
|---|---|---|
| Required Credentials | Typically requires a degree in computer science, data science, or related fields; certifications in AI or machine learning are common | Usually requires a degree in statistics, mathematics, or related fields; certifications in data analysis or visualization tools are beneficial |
| Work Environment | Often works in tech companies, AI startups, or R&D departments, focusing on developing AI models | Works across various industries in offices or remote settings, analyzing data to inform business decisions |
| Employer & Industry Usage | Used mainly in technology, research, and AI-focused companies | Widely used across finance, healthcare, marketing, and other sectors |
While both Ai And and Data Analyst roles involve working with data, Ai And focuses on developing artificial intelligence systems, whereas Data Analysts interpret data to support business strategies. Understanding these differences helps job seekers target the right roles based on their skills and career goals.
What are some common challenges faced by AI analysts when integrating new AI solutions into existing business processes?
AI Analysts often encounter challenges such as aligning AI solutions with current business workflows, ensuring data quality and availability, and gaining stakeholder buy-in. They may also need to collaborate closely with IT and operations teams to address technical compatibility and change management issues. Successfully navigating these challenges requires strong communication skills, adaptability, and a proactive approach to problem-solving.
What are the key skills and qualifications needed to thrive as an AI analyst?
To thrive as an AI Analyst, you need strong analytical skills, a background in statistics or computer science, and experience with data analysis, often supported by a relevant degree. Familiarity with programming languages like Python or R, machine learning frameworks, and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are important soft skills for translating complex data into actionable insights. These abilities are crucial for interpreting large data sets, informing strategic decisions, and enabling organizations to leverage AI effectively.
What is an AI and machine learning professional?
AI and Machine Learning professionals are experts who design, develop, and implement artificial intelligence systems and algorithms that enable machines to learn from data and make decisions. Their work often involves programming, data analysis, and research to create intelligent applications such as chatbots, recommendation engines, and image recognition systems. These professionals may work in various industries, helping organizations automate processes, improve efficiency, and gain valuable insights from data. The field is continually evolving, requiring ongoing learning and adaptation to new technologies.
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The most popular types of Ai And jobs are:
What states have the most Ai And jobs?
States with the most job openings for Ai And jobs include:
What job categories do people searching Ai And jobs look for?
The top searched job categories for Ai And jobs are:
- Conversational Ai Developer
- Temporary Ai Prompt Engineer
- Entrylevel Ai Ml Engineer
- New Graduate Solutions Engineer
- Internship Ai Engineer Salary In
- Ai Evaluation Engineer
- Temporary Ai Chatbot Prompt Engineer & Writer
- Lead Ai Engineer
- Freelance Ai Chatbot Prompt Engineer & Writer
- Full Time Ai Chatbot Prompt Engineer & Writer
Full-time
Re-posted 4 days ago
Job description
This role is for one of the Weekday's clients
JobType: full-time
Job Title: AI Delivery Manager (10-15 Years Experience)
Location: NYC, NY - ONSITE
Role Overview
We are seeking an experienced AI Delivery Manager to lead end-to-end delivery of AI/ML and GenAI-driven programs across enterprise clients. The ideal candidate will bring strong global delivery leadership, large-scale program management, and hands-on exposure to AI/ML/GenAI initiatives.
This role requires a blend of technical depth, stakeholder management, and execution excellence, with a focus on scaling AI solutions from POC to production.
Requirements
Key Responsibilities
AI Program Delivery
- Lead end-to-end delivery of AI/ML and GenAI programs, from ideation and POC to production deployment
- Manage multiple AI initiatives including:
- LLM applications (RAG, agents, copilots)
- Data science and ML model deployment
- AI-driven automation and transformation programs
- Ensure timely delivery, quality, and cost efficiency across engagements
Client & Stakeholder Management
- Act as a trusted advisor to enterprise clients across data-intensive domains
- Collaborate with senior stakeholders (CTO, CIO, Product Heads) to define AI strategy and roadmap
- Drive account growth and expansion opportunities
Delivery & Program Management
- Manage large-scale, multi-million dollar portfolios/programs
- Lead distributed/global teams across engineering, data science, and product
- Establish delivery governance, KPIs, and reporting mechanisms
- Ensure adherence to Agile/Scrum methodologies and best practices
AI & Technology Leadership
- Work closely with AI/ML teams on:
- Model development lifecycle
- MLOps and deployment strategies
- Data pipelines and cloud infrastructure
- Drive adoption of:
- GenAI tools (LangChain, LlamaIndex, OpenAI, etc.)
- Cloud platforms (AWS/GCP/Azure)
- Provide guidance on solution architecture for AI systems
Transformation & Innovation
- Lead AI-led digital transformation initiatives
- Identify opportunities to:
- Automate legacy systems
- Improve efficiency using AI
- Reduce operational costs via intelligent solutions
Required Qualifications
- 10-15 years of experience in delivery/program management
- Proven track record in managing large-scale enterprise programs
- Hands-on exposure to AI/ML/GenAI projects (minimum 1-3 years)
- Strong experience in:
- Global delivery models
- Stakeholder management
- Budget and portfolio ownership
- Background in data platforms or large-scale enterprise systems is highly preferred
AI model deployment
MLOps
Data science delivery
Good-to-have skillsAI/ML Program Manager
AI Product Delivery Manager
Data & AI Program Manager