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Generative Ai Project Manager Jobs in Bloomington, IL

Rivian

Senior Global Supply Manager, IT

Normal, IL · On-site

$98K - $123K/yr

Concurrently lead projects with medium to large vehicle spend for IT Software, supporting the ... Proficient in SAP, Coupa and AI tools to compliment and improve work output. * Communication:

Ferrero

Cost Manager

Bloomington, IL · On-site

$80K - $91K/yr

... capital project analysis, and monthly closings while embedding financial rigor into daily plant ... AI does not independently screen out or select candidates, and it does not replace human judgment.

Ferrero

Cost Manager

Bloomington, IL · On-site

$80K - $91K/yr

Support capital projects and fixed-asset management, including WBS setup, asset activation ... AI does not independently screen out or select candidates, and it does not replace human judgment.

Ferrero

Cost Manager

Bloomington, IL · On-site

$80K - $91K/yr

... capital project analysis, and monthly closings while embedding financial rigor into daily plant ... AI does not independently screen out or select candidates, and it does not replace human judgment.

Belcan

Material Flow Engineering Manager

Normal, IL

$54.38 - $71.91/hr

... AI Strategy: ○ Lead automation of supply chain logistics and high-impact projects that bridge the ... Manage cross-functional project teams, vendor relationships (LLP), and project timelines to ...

Munich RE

Data Scientist

Bloomington, IL · On-site

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Contribute to projects that yield actionable insights the business can use to increase customer ...

Munich Re

Data Scientist

Bloomington, IL · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Contribute to projects that yield actionable insights the business can use to increase customer ...

InterSources Inc

SAP OTC

Normal, IL · On-site

... Management System projects. The role focuses on optimizing processes and ensuring seamless ... InterSources Inc. solves operational problems where protection, performance, compliance, AI, and ...

Varsity Tutors

Replit Tutor

Normal, IL · Remote

$18 - $40/hr

Familiar with Replit platform capabilities and common challenges such as understanding cloud versus local development differences, managing project dependencies, and leveraging AI assistance ...

Varsity Tutors

Cursor Tutor

Normal, IL · Remote

$18 - $40/hr

... AI suggestions, managing context for accurate code generation, and transitioning from traditional editors. Adapts instruction using guided coding sessions, project-based development practice, and ...

Varsity Tutors

ChatGPT Tutor

Normal, IL · Remote

$18 - $40/hr

Ability to explain effective prompt construction, context window management, and responsible AI ... creative project enhancement. * Curriculum Awareness & Adaptive Instruction: Familiar with AI ...

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All JobsGenerative Ai Project JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Bloomington, IL

Generative Ai Project Manager information

See Bloomington, IL salary details

$36.9K

$98.5K

$155.4K

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

As of Aug 29, 2026, the average yearly pay for generative ai project manager in Bloomington, IL is $98,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,300.00 and $118,000.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Generative Ai Project Manager jobs in Bloomington, IL?

For Generative Ai Project Manager jobs in Bloomington, IL, the most frequently searched job titles are:

What job categories do people searching Generative Ai Project Manager jobs in Bloomington, IL look for?

The top searched job categories for Generative Ai Project Manager jobs in Bloomington, IL are:

What cities near Bloomington, IL are hiring for Generative Ai Project Manager jobs?

Cities near Bloomington, IL with the most Generative Ai Project Manager job openings:

Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in Bloomington, 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 $98,496 per year, or $47.4 per hour.

(US) Product Owner - AI products & projects

Texas, IL • On-site

Codvo.ai
51 - 200 employees
Learn more about Codvo.aiexternal

Full-time

Re-posted 11 days ago

Job description

Product Owner - AI products & projects
Experience: 6-8 years | Function: Product & Solutioning

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.


 
Role Summary
You will own the vision, roadmap, and delivery of intelligent, AI-native products & solutions that turn complex enterprise workflows into simple, assistive experiences. You'll operate at the intersection of product strategy, applied AI/ML, Generative AI and platform engineering - translating cutting-edge capabilities into measurable business value.

Key Responsibilities
1) Define the Vision & Roadmap
           Own a problem-first roadmap for AI-powered platforms and assistants across priority journeys.
           Comprehensive market research & prioritize use cases with clear value hypotheses (efficiency, revenue, quality) and Revenue Roadmap.
2) UAT first development
           Run structured discovery (persona, journey mapping, workflow time-and-motion).
           Author detailed UAT document for each feature with detailed acceptance criteria, test cases and evaluation metrics.
3) Product Leadership
           Lead backlog, sprint goals, and release planning with AI/ML, data, and platform engineering.
           Manage dependencies (data readiness, NFRs, MLOps, security, integrations) and unblock teams rapidly.
4) Measure, Learn, Iterate
           Define north-star & guardrail metrics: accuracy, latency, cost per request, containment, adoption, and satisfaction.
           Drive experimentation (A/B), prompt/model iterations, UX refinements, and policy updates.
5) Bridge Business & Technology
           Translate model behavior and system constraints into business-speak (value, risk, ROI).
           Create readable artifacts: PR/FAQ, release notes, change logs, and exec updates.
6) Safety, Compliance & Observability
           Partner with Security/Legal to enforce PII/PHI handling, data residency, SOC2/ISO controls.
           Ensure traceability (prompt versioning, dataset lineage, evaluation reports) and human-in-the-loop in product thinking wherever needed.

Must-Have Qualifications
           2+ years building or shipping AI/ML/GenAI products & solutions (NLP, RAG/semantic search, recommendations, predictive, or automation).
           Practical exposure to LLMs, vector databases, prompt engineering, and cloud AI services (well familiar with Azure OpenAI, AWS Bedrock, GCP Vertex).
           Proven agile delivery using Jira/ Confluence/ Azure DevOps; design collaboration in Figma.
           Strong systems thinking with the ability to simplify complex workflows.
           Strong academic background + MBA (Tier-1) engineering/CS preferred.
 
Nice to Have
           Experience with agentic systems (tool-use, function calling, planners), prompt orchestration, and knowledge retrieval frameworks.
           Familiarity with enterprise integrations, APIs, and event-driven architectures.
           Understanding of MLOps/LLMOps (evaluation harnesses, offline/online tests, drift monitoring, canary releases).

Familiarity with Skills & Tools 
           Product: Roadmapping, PRD/PR-FAQ, OKRs, KPI design, experimentation.
           AI/Tech: RAG patterns, embeddings, retrieval tuning, prompt/policy design, latency/cost trade-offs.
           Governance: Prompt/version control, LLMOps, evaluation dashboards.
           Collab: Azure DevOps, Figma, Lucidchart, PPT, Excel, Word, Git.


Employment Type: FULL_TIME

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