4738 Founding Robotics Software Engineer jobs in Chicago,IL

Location: Skokie, IL
Full Time
Hours: Monday-Friday, 8:00AM - 5:00PM
Hybrid Position
Required Travel: local travel to other corporate sites will be required as needed (Arlington Heights, Warrenville)
Education: Bachelor's degree in relevant field preferred, or equivalent work experience
Experience: 5+ Years Five (5) or more years of experience of related experience in IT Systems, Platform Engineering or Technical Engineering related to the role's specific technology portfolio
Windows Platform Engineering
Functional Knowledge of Cloud platforms and deployment models (AWS, Azure, GCP, etc.), Office 365, Microsoft Exchange, Microsoft Active Directory / Entra AD, Azure Tenant management and configuration, MS Windows Servers, Security, PKI / Certificate Management, Server Hardware (e.g., HP Synergy, Cisco UCS), Mobile Device Management (MDM) Platforms (e.g. Microsoft InTune, WorkspaceOne), messaging and collaboration platforms (e.g. Webex, Teams, SharePoint, etc.), DNS / DHCP management (e.g. Infoblox), Data Loss Protection (DLP) (e.g. ForcePoint, Microsoft, ProofPoint, etc.); anti-virus (e.g. Crowdstrike, Trend, etc.), compliance, vulnerability management, patch management, monitoring, restoration, performance, architecture, and lifecycle management, etc.
Knowledge of AI (Artificial Intelligence) technologies and models.
Knowledge of Cloud Computing and Platforms (e.g., Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP).
Knowledge of SaaS and Hosting platforms.
Knowledge of Automation technologies.

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Manager, AI Engineer

KPMG

Chicago, IL 60629

OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

SmartExplore AI is experimental.