1

Intelligent Systems Engineering Jobs in Georgia (NOW HIRING)

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

... learning pipelines, and integrating intelligent systems into business applications ... Required : • Strong programming skills in Python • Experience with machine learning frameworks:

Senior Systems Engineer

Conley, GA · On-site

$92K - $153K/yr

... scales intelligent observability patterns across Cox Automotive ; enables automated resilience ... You will form strong relationship with our engineering teams and build, curate and champion ...

Senior Systems Engineer

Hapeville, GA · On-site

$92K - $153K/yr

... scales intelligent observability patterns across Cox Automotive ; enables automated resilience ... You will form strong relationship with our engineering teams and build, curate and champion ...

Senior Systems Engineer

Doraville, GA · On-site

$92K - $153K/yr

... scales intelligent observability patterns across Cox Automotive ; enables automated resilience ... You will form strong relationship with our engineering teams and build, curate and champion ...

Senior Systems Engineer

East Point, GA · On-site

$92K - $153K/yr

... scales intelligent observability patterns across Cox Automotive ; enables automated resilience ... You will form strong relationship with our engineering teams and build, curate and champion ...

Senior Systems Engineer

Marietta, GA · On-site

$92K - $153K/yr

... scales intelligent observability patterns across Cox Automotive ; enables automated resilience ... You will form strong relationship with our engineering teams and build, curate and champion ...

Senior Systems Engineer

Decatur, GA · On-site

$92K - $153K/yr

... scales intelligent observability patterns across Cox Automotive ; enables automated resilience ... You will form strong relationship with our engineering teams and build, curate and champion ...

... scales intelligent observability patterns across Cox Automotive ; enables automated resilience ... You will form strong relationship with our engineering teams and build, curate and champion ...

... scales intelligent observability patterns across Cox Automotive ; enables automated resilience ... You will form strong relationship with our engineering teams and build, curate and champion ...

Showing results 21-40

Intelligent Systems Engineering information

See Georgia salary details

$51.1K

$120K

$165.5K

How much do intelligent systems engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for intelligent systems engineering in Georgia is $119,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $146,100.00 per year, depending on experience, location, and employer.

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.

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 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.

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, or AI tools may earn higher salaries, especially in specialized or high-demand industries.

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 job categories do people searching Intelligent Systems Engineering jobs in Georgia look for?

The top searched job categories for Intelligent Systems Engineering jobs in Georgia are:

Infographic showing various Intelligent Systems Engineering job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 10% Part Time, 8% Contract, and 3% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,961 per year, or $57.7 per hour.

$56.75 - $74.25/hr

Full-time

Re-posted 9 days ago


Job description

Overview
Job Purpose
Intercontinental Exchange (ICE) is seeking a Lead Engineer responsible for architecting and delivering intelligent systems that accelerate software engineering workflows and unlock new capabilities across the organization. This role sits at the intersection of applied AI and platform engineering, building production-grade agentic systems, knowledge pipelines, and similar solutions that directly improve developer productivity, quality, and throughput.
The ideal candidate brings hands-on experience shipping GenAI systems at scale and can move fluidly between designing technical architecture and influencing business strategy.
Passion for applying AI to real engineering problems, strong analytical judgment, and the ability to operate with autonomy are essential to success in this role.
Responsibilities
  • Lead engineering projects working in TypeScript/JavaScript and/or Rust.
  • Architect and ship complete systems, from first prototype through to production.
  • Lead agentic SDLC automation, working closely with engineering, QA, and business stakeholders to figure out where automation pays off most and build out solutions.
  • Set engineering standards for how we build with and without agents, including evaluations, guardrails, and deployment patterns.
  • Evaluate new tools and techniques and mentor developers in advanced concepts.
  • Engage with development teams to identify opportunities for process improvement.

Knowledge and Experience
  • Bachelor's Degree or equivalent in Computer Science or related field.
  • 8+ years of senior software engineering experience, with production systems you've shipped and supported at scale.
  • Comfort across the current AI stack, including LLMs, vector databases, embeddings, agent frameworks, and fine-tuning.
  • The ability to take a rough, cross-functional problem, turn it into a concrete plan, and then deliver it.
  • GenAI systems you've taken to production, including agent authoring, prompt orchestration, and evaluation frameworks running against real traffic.
  • Good product sense. You can pick what's worth building, explain a trade-off to someone non-technical, and move between the code and the people using it.

Preferred Knowledge and Experience
  • Knowledge Base / Knowledge Graph experience, both using and implementing
  • AI applied to SDLC tooling: requirements engineering, code generation, test automation, developer productivity.
  • Observability tooling like OpenTelemetry / MLflow, and experience fine-tuning or otherwise tuning LLMs for latency and cost.
  • Open-source work in the AI/ML, graph, or developer-tooling worlds.
  • A background in financial services or fintech, or familiarity with equity and commodity derivatives.
  • Some team leadership or engineering management experience.

#LI-JW1
-
Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.