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Intelligent Systems Engineering Jobs in Illinois

Tata Consultancy Service Limited

AI Engineer

Chicago, IL · On-site

$100K - $120K/yr

Prompt engineering techniques d. Agentic AI workflows and orchestration g. Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service h.

Caterpillar

Autonomy Product Owner II

Chicago, IL · On-site

You'll help design and deliver intelligent systems that enable machines to perceive their ... Upon conception definition, you will partner with software engineering, design, and machine ...

DePaul

Adjunct Faculty in Game Programming

Chicago, IL · On-site

... Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering. Find out more about SoC at . Qualifications: Minimum requirements include a master's degree in the ...

Braze

Senior Lead Systems Engineer, AI & Automation

Chicago, IL · On-site

$107K - $140K/yr

... engineering, AI, and intelligent integrations. In this role, you'll architect scalable solutions that connect the systems powering Braze while helping redefine how employees interact with IT through ...

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All JobsIntelligent Systems Engineering JobsIntelligent Systems Engineering Jobs in Illinois

Intelligent Systems Engineering information

See Illinois salary details

$58.6K

$137.7K

$189.9K

How much do intelligent systems engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for intelligent systems engineering in Illinois is $137,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $167,600.00 per year, depending on experience, location, and employer.

What do intelligent systems engineers do?

Intelligent systems engineers design, develop, and implement software and hardware systems that incorporate artificial intelligence, machine learning, and automation technologies. They analyze complex problems, create algorithms, and work with tools like robotics, data analysis, and programming languages such as Python or C++. Their work often involves testing, optimization, and ensuring systems operate reliably in real-world environments.

What is intelligent systems engineering?

An Intelligent Systems Engineering job involves designing, developing, and optimizing smart systems that integrate AI, machine learning, and advanced computing. Professionals in this field work on applications such as autonomous systems, robotics, cybersecurity, and biomedical devices. They use data-driven approaches and computational models to enhance decision-making and automation. These roles exist in industries like healthcare, automotive, aerospace, and IoT.

How much do intelligent systems engineers make?

Intelligent systems engineers typically earn a median annual salary of around $100,000 to $130,000, depending on experience, education, and location. Professionals with advanced skills in machine learning, robotics, and programming languages like Python or C++ tend to have higher earning potential.

What are the key skills and qualifications needed to thrive in intelligent systems engineering, and why are they important?

Successful careers in Intelligent Systems Engineering require a strong background in computer science, control systems, mathematics, and often an advanced degree in engineering or a related field. Proficiency with programming languages (such as Python, C++, or MATLAB), experience with machine learning frameworks, and familiarity with embedded systems and sensor integration are typically expected. Strong analytical thinking, problem-solving skills, and effective collaboration are essential soft skills in this position. These competencies enable professionals to design, develop, and optimize complex intelligent systems that perform reliably in real-world applications.

What are the main challenges faced when working as an intelligent systems engineer?

Intelligent Systems Engineers often encounter challenges such as integrating diverse hardware and software components, ensuring system reliability, and optimizing performance under real-world conditions. They must stay current with rapidly evolving technologies and continuously adapt their solutions to meet new requirements or constraints. Collaboration across multidisciplinary teams, including software developers, hardware engineers, and data scientists, is common and essential for project success. Tackling these challenges develops a well-rounded skill set and provides significant opportunities for professional growth and innovation.

What are the most commonly searched types of Intelligent Systems Engineering jobs in Illinois? The most popular types of Intelligent Systems Engineering jobs in Illinois are:
What are popular job titles related to Intelligent Systems Engineering jobs in Illinois? For Intelligent Systems Engineering jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Intelligent Systems Engineering jobs in Illinois look for? The top searched job categories for Intelligent Systems Engineering jobs in Illinois are:
What cities in Illinois are hiring for Intelligent Systems Engineering jobs? Cities in Illinois with the most Intelligent Systems Engineering job openings:
Intelligent Systems Engineering jobs near you
Infographic showing various Intelligent Systems Engineering job openings in Illinois as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $137,669 per year, or $66.2 per hour.

AI Engineer

Tata Consultancy Service Limited

Chicago, IL • On-site

$100K - $120K/yr

Full-time

Re-posted 6 days ago

Job description

Role Summary :
This role is for the GenAI / agentic build out workstream). Basically, an AI engineer, keeping up with the latest, forward thinking, plug and play, marginalize everything so when technology changes he /she can quickly limit to plug that gap. A Lead engineer responsible for designing, developing, and operationalizing enterprise-scale Generative AI (GenAI) solutions. This position combines deep hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures with strong technical leadership to deliver secure, scalable, and resilient AI systems. The role partners across engineering, product, and business teams to translate complex requirements into production-ready AI capabilities aligned with enterprise standards for security, risk, and responsible AI. This is a modern AI engineer with agentic systems experience.
Technical Depth & Innovation
a. Strong expertise in GenAI architectures and evolving AI technologies
b. Ability to balance experimentation with enterprise-grade reliability
c. Build and integrate AI agents
Architecture & Systems Thinking
d. Designs scalable, distributed, and resilient systems
e. Aligns architecture decisions with enterprise standards and long-term strategy
f. Design, develop, and deploy GenAI solutions leveraging:
a. Large Language Models (LLMs)
b. Retrieval-Augmented Generation (RAG) architectures
c. Prompt engineering techniques
d. Agentic AI workflows and orchestration
g. Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service
h. Lead the end-to-end lifecycle of GenAI solutions, including:
a. Solution architecture and engineering
b. Integration with enterprise systems
c. Secure deployment and release management
d. Monitoring, observability, and continuous optimization
i. Evaluate emerging tools and frameworks to continuously improve solution quality and innovation
j. Work with Claude, CoCo, Genie, LangChain (or its successor)
k. Handle API integration, orchestration, plumbing
l. Move fast and adapt to rapidly changing AI tech
m. Work across Snowflake + Databricks + OpenAI
n. Provide architectural leadership and guidance across GenAI initiatives
o. Drive critical design decisions for large-scale, complex AI solutions
a. Mentor and coach engineers and development teams
b. Translate business requirements into scalable, secure, and resilient technical solutions
c. Partner with stakeholders across product, business, risk, and security functions
Salary Range- $110,000-$120,000 a year
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