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Ai Software Engineering Security

Chicago,IL

2682 Ai Software Engineering Security jobs in Chicago,IL

New, Posted 8 hours ago
DiversityJobs
Senior Software Engineer (Hybrid - US)

Energy Solutions

Chicago, IL 60603

$140,000-$175,000/yr
New, Posted 9 hours ago
Forward Deployed Software Engineering - Manager

PwC

Chicago, IL 60684

Recommended
Easy Apply
Network Security Engineer

TEKsystems

Chicago, IL 60601

$70-$75/hr
OnsiteHealth InsurancePaid Time OffRetirement Benefit

$70.00 - $75.00/hr.
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan
Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D; for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Paloalto
Palo Alto
Fortinet
Network Security Engineering
Security Operations
ITIL
ServiceNow
Firewall administration
Security architecture
Enterprise infrastructure support
ITIL Certification
Dell Compute Technologies
SAN
NAS
Oracle
Windows Server
RedHat
Rubrik
Infoblox
Solarwinds
SOC
CMDB
SAN/NAS Technologies
SolarWinds
Security Operations Center (SOC) experience
Vendor Management
Capacity Planning
Change Management
CMDB Administration
Expert Level
New, Posted 9 hours ago
Easy Apply
Director- Applied AI

Covista

Chicago, IL 60629

$250,000/yr
HybridHealth InsurancePaid Time OffRetirement Benefit

The expected salary range for this position is between $100,171.61 and $181,034.70.
You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Covista's Flexible Time Off (FTO) Policy
12 Paid Holidays
We operate on a hybrid schedule with four in-office days per week (Monday–Thursday).
Bachelor's Degree Computer Science, Data Science, Artificial Intelligence, Engineering, or related field. Required
Ten (10) plus years experience in enterprise technology leadership roles.
Five (5)plus years experience leading AI/ML, data, or platform engineering teams, including management of outsourced/SOW-based delivery partners.
Experience in higher education, healthcare, or other complex, regulated, matrixed environments.
Experience with agentic AI platforms (Vertex AI Agent Engine, ADK, MCP) and Responsible-AI/model-risk governance.
Deep expertise in agentic AI architectures and enterprise AI platforms — Vertex AI Agent Engine, the Agent Development Kit (ADK), the Model Context Protocol (MCP), and multi-model orchestration across Anthropic, Google, OpenAI, and Microsoft.
Experience implementing Responsible-AI governance: risk tiering, model cards, bias evaluation, red-teaming, and regulatory review gates (e.g., FERPA, HIPAA, GLBA).
Master's Degree MS in Computer Science/AI, or MBA. Preferred
Cloud/AI certification (e.g., Google Cloud Professional ML Engineer, AWS/Azure AI Engineer Associate). Preferred.
New, Posted 9 hours ago
Recommended
Lead Platform Engineer (Data & AI)

Huron Consulting Group

Chicago, IL 60684

New, Posted 9 hours ago
Easy Apply
Director- Applied AI

Covista

Melrose Park, IL 60164

$250,000/yr
Hybrid~ 25 minHealth InsurancePaid Time OffRetirement Benefit

The expected salary range for this position is between $100,171.61 and $181,034.70.
You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Covista's Flexible Time Off (FTO) Policy
12 Paid Holidays
We operate on a hybrid schedule with four in-office days per week (Monday–Thursday).
Bachelor's Degree Computer Science, Data Science, Artificial Intelligence, Engineering, or related field. Required
Ten (10) plus years experience in enterprise technology leadership roles.
Five (5)plus years experience leading AI/ML, data, or platform engineering teams, including management of outsourced/SOW-based delivery partners.
Experience in higher education, healthcare, or other complex, regulated, matrixed environments.
Experience with agentic AI platforms (Vertex AI Agent Engine, ADK, MCP) and Responsible-AI/model-risk governance.
Deep expertise in agentic AI architectures and enterprise AI platforms — Vertex AI Agent Engine, the Agent Development Kit (ADK), the Model Context Protocol (MCP), and multi-model orchestration across Anthropic, Google, OpenAI, and Microsoft.
Experience implementing Responsible-AI governance: risk tiering, model cards, bias evaluation, red-teaming, and regulatory review gates (e.g., FERPA, HIPAA, GLBA).
Master's Degree MS in Computer Science/AI, or MBA. Preferred
Cloud/AI certification (e.g., Google Cloud Professional ML Engineer, AWS/Azure AI Engineer Associate). Preferred.
New, Posted 9 hours ago
Forward Deployed Data Engineering - Manager

PwC

Chicago, IL 60684

New, Posted 2 hours ago
Applications Engineer

Powell Industries

Chicago, IL 60629

New, Posted 1 day ago
Apply Directly
AI Model Tester - Voice & Video (Remote)

Outlier

Chicago, IL 60629

$15/hr
Remote
New, Posted 6 hours ago
Easy Apply
Forward Deployed Engineering, Portworx

Everpure

Chicago, IL 60602

Requires Travel

This role may be eligible for incentive pay and/or equity.
$208,000—$305,000 USD
Flexible time off, wellness resources, and company-sponsored team events.
5+ years in infrastructure or platform engineering, SRE, architecture, or field and solutions engineering roles
Must have Unix & Linux administrator experience
Deep Kubernetes expertise (CKA/CKS or equivalent), grounded in having run clusters in production rather than in a lab
Strong command of enterprise storage: Fibre Channel SAN (zoning, WWPNs, fabric login and path behavior), iSCSI, NVMe/TCP, NAS protocols, dm-multipath, LVM, and array-side provisioning, masking, and mapping
Real understanding of compute and server hardware: bare metal provisioning and lifecycle, BIOS, firmware and driver management, HBA and NIC selection, NUMA and CPU/memory topology, local NVMe layout and endurance
Production-grade virtualization knowledge
Plus an understanding of KubeVirt as a migration target
Practical data center networking: VLANs and trunking, MTU and jumbo frames, bonding and LACP, L2 versus L3 boundaries, routing, load balancer integration, and how partitions, congestion, and asymmetric paths present in a distributed storage system
Solid Linux systems background extending to the block and device layers: udev, kernel and sysctl tuning, systemd, I/O scheduling, and performance triage with tools like iostat, blktrace, and perf
Working understanding of customer development environments (CI/CD, application deployment patterns, dev and test workflows) sufficient to reason about platform needs beyond just the storage layer
Strong technical writing skills.
Prior "forward deployed," field engineering, or professional services experience a plus
Ideally VMware vSphere and ESXi (datastores, VMFS, vVols, HA and DRS behavior, resource contention)
Familiarity with cloud and managed Kubernetes platforms (EKS, AKS, GKE, OpenShift) is useful, since many customers run a hybrid footprint, but on-prem depth is what this role is built around
Prior experience with Portworx, other CSI-based storage platforms, or enterprise storage vendors (Pure Storage, NetApp, Dell, etc.) is highly valued
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