1

Ai Application Developer Jobs in Chicago, IL (NOW HIRING)

Reconstruct's Visual Command Center (VCC) uses AI and Machine Learning inside of computer vision to ... Design the next-gen models of apps with high-quality mobile and application development * Manage ...

AI Governance Specialist

Chicago, IL · On-site

$70 - $75/hr

APIs,application architecture,AI,AI-enabled,AI capabilities,AI solutions,AI application,cloud,CI/CD,data sharing,data flows,GenAI tools,data leakage,Servers,software development,software engineering ...

Intern Application Developer 2027 - DPE

Chicago, IL · On-site

$19.75 - $26/hr

Exposure to tools like Copilot, ChatGPT, or similar AI assistants to research, write, analyze, and ... We believe that through the application of intelligence, reason and science, we can improve ...

AI/ML Enablement Lead Engineer

Chicago, IL · On-site

$105K - $139K/yr

Strong software engineering background with hands-on application development experience. * Experience designing, building, or delivering AI-enabled software solutions. * Experience implementing LLM ...

New

Lead Data & AI Engineer

Chicago, IL · Hybrid

$112K - $135K/yr

The Data & AI Platform Engineer at Sabert Corporation is a hybrid role that plays a strategic and ... Familiarity with AI/ML frameworks, large language models (LLMs), and modern AI application ...

Lead Data & AI Engineer

Chicago, IL · On-site

$130 - $170/hr

The engineer delivers actionable insights, predictive capabilities, and intelligent automation that ... Familiarity with AI/ML frameworks, large language models (LLMs), and modern AI application ...

Lead Data & AI Engineer

Chicago, IL · On-site

$112K - $135K/yr

Description The Data & AI Platform Engineer at Sabert Corporation is a hybrid role that plays a ... Familiarity with AI/ML frameworks, large language models (LLMs), and modern AI application ...

Showing results 41-60

Ai Application Developer information

See Chicago, IL salary details

$17

$54

$87

How much do ai application developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ai application developer in Chicago, IL is $54.23, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $62.40 per hour, depending on experience, location, and employer.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

How to become an AI application developer?

To become an AI application developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. Earning relevant certifications or degrees in computer science, artificial intelligence, or related fields can also enhance your qualifications and job prospects.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What are popular job titles related to Ai Application Developer jobs in Chicago, IL?

For Ai Application Developer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Ai Application Developer jobs in Chicago, IL look for?

The top searched job categories for Ai Application Developer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Ai Application Developer jobs?

Cities near Chicago, IL with the most Ai Application Developer job openings:

Infographic showing various Ai Application Developer job openings in Chicago, IL as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 83% In-person, 11% Hybrid, and 6% Remote job distribution, with an average salary of $112,791 per year, or $54.2 per hour.

Full-time

Medical, PTO

Re-posted yesterday


Job description

For more than three decades, premier organizations have trusted IPM to lead the successful execution of their strategic portfolios and critically important initiatives. Headquartered in Chicago with offices in Boston, Parsippany, Minneapolis, St. Louis, Los Angeles, and San Francisco, IPM has led more than 5,000 projects for over 500 clients. Our clients range from Fortune 100 companies to start-ups.

We are a certified "Great Place to Work" company and have been named to the Great Place to Work list of "Best Workplaces in Consulting and Professional Services."

Job Description

The AI Solutions Engineer is a critical member of the Knowledge and Process Management team at IPM, serving in a hands-on engineering role that spans both strategy and implementation. This role bridges technology and operations, translating emerging AI capabilities into practical tools and scalable solutions that enhance both internal effectiveness and client delivery. By accelerating productivity and strengthening consulting offerings, the AI Solutions Engineer plays a key role in establishing a competitive advantage by building and deploying AI capabilities across data pipelines, security, evaluation frameworks, and operational patterns. Core areas of responsibility include production hardening, platform development, security implementation, data foundations, and operational enablement.

In close partnership with IPM's AI Development Leads, the AI Solutions Engineer will identify high-impact opportunities for AI adoption, rapidly prototype solutions, and drive them through to production. Solutions are expected to meet enterprise standards for security, observability, and integration with IPM's M365 and Azure environments, while also being robust and scalable enough to support long-term use across the firm.

The position requires close collaboration with stakeholders across Operations, Corporate functions, IT, and Practice Areas to identify high-value use cases and deliver solutions aligned with business priorities. In addition, the role supports adoption through training, knowledge sharing, and governance. Responsibilities include AI strategy and opportunity identification, AI solution development, AI enablement and service development, AI solution delivery, and emerging technology governance. The balance between internal initiatives and client-facing work will evolve over time, based on business priorities, client needs, and the maturity of IPM's AI capabilities.

Primary Responsibilities and Duties:
  • Identify and prioritize opportunities for AI-enabled solutions across internal operations and client engagements.
  • Engage stakeholders (internal and external) to understand workflows, pain points, and value drivers.
  • Design, develop, test, and deploy AI-enabled solutions that support internal operations.
  • Build and maintain CI/CD pipelines and infrastructure-as-code; manage dev, staging, and production environments.
  • Implement authentication, authorization, and data access controls (Entra ID, role-based access, tenant isolation where applicable).
  • Curate and maintain internal knowledge bases for retrieval-grounded systems.
  • Handle sensitive data appropriately in AI workflows (PII, client-confidential, regulated data).
  • Enhance knowledge capture, accessibility, and reuse across client engagements and internal operations.
  • Drive consistency and scalability of core IPM processes through AI.
  • Support the evolution of IPM's consulting practices through the application of AI and emerging technologies.
  • As a part of client engagements, design and deliver AI-enabled solutions and tools, partner with engagement leads to define technical scope, integration constraints, and handoff expectations, and translate IPM's internal production patterns to client-side deployments.
  • Evaluate new AI tools and capabilities for potential application within IPM by leading pilots and implementation of new technologies.
  • Implement AI-specific security controls and support ongoing maintenance monitoring and continuous improvement of deployed internal solutions.
  • Develop resources, playbooks, and guidance to support effective and consistent use of AI tools.
  • Deliver training and enablement for both internal teams and client stakeholders.
  • Promote practical adoption through hands-on support, working sessions, and knowledge sharing.
  • Support client-facing training, workshops, and enablement activities as part of AI-enabled engagements.
Desired Skill and Experience
The successful candidate for this position should demonstrate the following skills and experiences:
  • Bachelor's degree in engineering, computer science, data science, or a related field.
  • 3+ years of experience in software development, data science, or AI/ML roles.
  • Exposure to production AI application architecture: retrieval patterns (RAG, agentic retrieval), agent orchestration, prompt and context engineering at the systems level, evaluation infrastructure.
    • Familiarity with MCP (Model Context Protocol) and the broader agent tooling ecosystem
    • DevOps for AI applications: infrastructure-as-code, CI/CD, observability, incident response, model, and prompt versioning
    • Security for AI applications: prompt injection mitigation, agent tool abuse, data exfiltration through model context, output integrity
    • Data engineering for AI: document ingestion pipelines, embedding strategy, vector store operations, data quality, sensitive data handling.
    • Comfort using AI-assisted development tools (Claude Code, Cursor, or equivalent) as part of your own workflow.
  • Strong cloud platform engineering, Azure preferred (Container Apps, Functions, App Service, Key Vault, App Insights, Entra ID). AWS or GCP equivalent experience considered.
  • Experience evaluating emerging technologies and applying them to business use cases.
  • Demonstrated ability to translate business needs into scalable technical solutions.
  • Experience working with stakeholders across functions to define and deliver high-impact solutions.
  • Experience leading projects or initiatives from concept through implementation.
  • Strong problem-solving, communication, and facilitation skills.
  • Ability to work independently while influencing cross-functional stakeholders.
  • Experience in project management, consulting, or operations environments preferred.
WHY IPM
  • Engaging culture:IPM has a caring, nurturing culture with a transparent communication approach and culture-building and team-building events, both regional and company-wide.
  • Professional development:This role is intentionally designed as a development opportunity. IPM invests heavily in training, mentorship, and experiential learning to help employees build long-term careers. You are IPM's future - we only promote from within.
  • Collaborative work environment:You will work alongside experienced consultants, managers, and IPM's Centers of Excellence, gaining access to proven tools, methodologies, and best practices.
  • Comprehensive compensation and benefits program:including 100% employer-paid health for employees and over 80% paid health for dependents; 401(k)matching, performance bonus, relocation assistance, tuition reimbursement, paid vacation, holiday, personal and sick time, among many others; salary range is $80,000 - $140,000, dependent on experience.
  • Philanthropy: We are devoted to the communities we serve and actively promote employee involvement in community improvement projects. We have created "Project Mercy" to channel our philanthropic efforts every quarter.
Disclaimer:
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Where a specific pay range is noted, it is a good faith estimate at the time of this posting. The actual salary offered will be based on experience, skills, qualifications, and market / business considerations.
IPM is an equal opportunity employer. We are committed to providing equal employment opportunities for all employees and applicants for employment.
IPM's hybrid work environment requires a minimum of three in-office days each week, Tuesday, Wednesday, and Thursday. Additional in-office days may be required based on business needs and meetings.