7731 Forensic Ai Engineer jobs in Chicago,IL

Gameplay Engineer 2 [209776]

Aquent Talent

Chicago, IL

Bachelor's degree in a technical field such as computer science, computer engineering, or a related discipline.
2-4 years of professional engineering experience.
Demonstrated experience in gameplay development, game mods/add-ons, or scripting.
Development experience in relevant scripting languages or technologies.
Experience with C#, C++, or HTML development.
Hands-on experience in designing, developing, and successfully deploying large-scale projects from end-to-end.
Hands-on experience following iterative and agile Software Development Life Cycle (SDLC) methodologies.
Ability to be flexible and adapt to change quickly in a positive manner.

buildahuman

Chicago, IL 60290

Turing

Cicero, IL 60804

Aramco

Chicago, IL 60290

You will hold a Bachelor degree in Engineering, industrial psychology, human factors, ergonomics, or safety from an Accredited Institution
You will have 7 years of experience as a human factor professional in the oil and gas, petrochemicals, or related industries, including as strong track record in delivering results.
You will hold a recognized certification in human factors such as Certified Human Factors Professional (CHFP), Certified Professional Ergonomist (CPE), Chartered Ergonomics and Human Factors Specialist (C.ErgHF), or European Ergonomist (Eur.Erg).
You will have an excellent ability to communicate in English with peers as well as members of management, and be able to produce clear and concise oral and written reports in English.

GAMMA TECHNOLOGIES

Westmont, IL 60559

Attune

Chicago, IL 60290

BMO Financial

Chicago, IL 60604

MUST HAVE experience coding multi-agent AI assets, hands on software development with a passion for AI Agents.
6-7 years of AI software development experience, with at least 2 years in AI agent/multi-agent development.
Hands-on experience across Microsoft Azure services (designing, deploying, and operating cloud-native systems).
Certifications in Azure AI Engineer
Strong background in AI agent ecosystems (multi-agent patterns, orchestration concepts, agent registries, tool routing, memory/state, evaluation approaches).
Demonstrated ability to implement monitoring/observability for AI/agent solutions (logging, tracing, metrics, and operational alerting).
Proven delivery on multiple AI initiatives—comfortable shaping ambiguity into “the right questions,” crisp requirements, and practical design.
Financial services or wealth management experience preferred.