1

Generative Ai Project Manager Jobs in Chicago, IL

Generative AI Product Manager

Chicago, IL · On-site

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product ... your hand at new projects and being the active owner of your career path is encouraged and ...

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product ... your hand at new projects and being the active owner of your career path is encouraged and ...

IT Project Manager -AI

Lake Forest, IL · On-site

$97K - $115K/yr

IT Project Manager to manage and deliver several AI projects for a client in the insurance industry. The company is in the suburbs north of Chicago, IL and the position is a 6+ month contract ...

Legal AI Adoption Counsel

Chicago, IL · On-site

$165K - $200K/yr

AI Adoption & Change Management * Drive adoption of firm-approved generative AI platforms across ... Strong project management and organizational skills Preferred * Experience practicing law within a ...

Legal AI Adoption Counsel

Chicago, IL · On-site

$165 - $200/hr

AI Adoption & Change Management * Drive adoption of firm-approved generative AI platforms across ... Strong project management and organizational skills Preferred * Experience practicing law within a ...

Define solution architectures that integrate LLMs, generative AI, and traditional ML with enterprise platforms * Manage AI projects including architecture design, model development, integration, and ...

Showing results 21-40

Generative Ai Project Manager information

See Chicago, IL salary details

$39.7K

$105.8K

$166.9K

How much do generative ai project manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for generative ai project manager in Chicago, IL is $105,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $126,700.00 per year, depending on experience, location, and employer.

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.
What are popular job titles related to Generative Ai Project Manager jobs in Chicago, IL? For Generative Ai Project Manager jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Generative Ai Project Manager jobs in Chicago, IL look for? The top searched job categories for Generative Ai Project Manager jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Generative Ai Project Manager jobs? Cities near Chicago, IL with the most Generative Ai Project Manager job openings:
Infographic showing various Generative Ai Project Manager job openings in Chicago, IL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $105,777 per year, or $50.9 per hour.

Forward Deployed Engineer (Generative AI)

Tiger Analytics Inc.

Chicago, IL

Full-time

Posted 27 days ago


Job description

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Agentic Design & Implementation
Develop intelligent agents using Vertex AI Agent Builder to automate complex
business workflows.
Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems
that collaborate to solve end-to-end business challenges.
Implement tools like MCP (Model Context Protocol) Toolbox to securely connect
agents to enterprise databases like BigQuery and Spanner.


AI on Data Strategy
Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless
integration with BigQuery for feature engineering.
Build and optimize streaming data pipelines (e.g., via Dataflow) to execute
real-time inference using RunInference API or Vertex AI endpoints.
Ground AI models in live business context using vector engines within BigQuery or
AlloyDB to eliminate "AI amnesia".


Operational Excellence (Soft Skills)
Active Participation: Show up promptly for all internal and client-facing meetings.
Transparent Communication: Provide regular, structured status updates to team
members and stakeholders regarding project milestones and technical blockers.
Proactive Collaboration: Demonstrate the ability to ask for help when facing
technical hurdles and contribute to a collaborative troubleshooting environment.
Consultative Approach: Navigate corporate environments to translate high-level
business goals into robust technical architectures.
Technical Qualifications
Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and
model evaluation.
Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML
engineering, and data preprocessing techniques (scaling, encoding, imputation).
Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex
AI endpoints.
Emerging Tech: Familiarity with stateful real-time processing and the latest
innovations in agentic architectures.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.