743 Forward Deployed Ai Engineer Enterprise jobs in Chicago,IL

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IT Internal Auditor

Supernova Technology - Chicago, IL

IT Internal Auditor

$70,000-$85,000/yr

OnsiteHealth InsurancePaid Time OffRetirement Benefit

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Manager of Enterprise Systems Integration (On-Site)

Ace Hardware Corporation

Oak Brook, IL 60523

$158,400-$205,950/yr

~ 27 min OnsiteChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

10+ years of experience in systems integration engineering, with 3+ years in a formal people leadership role managing teams of 10+ FTE developers, including experience managing on/offshore staff augmentation consultants.
5+ years of hands-on experience with enterprise integration and data platform tooling, including Informatica (PowerCenter, DEI), IBM middleware (Sterling, Message Broker, APIC), Azure integration services (ADF, APIM), Hadoop, Databricks. Experience with Informatica, Hadoop and Databricks is required.
5+ years leading modernization initiatives transitioning enterprise environments from batch-processing to Event-Driven Architecture (EDA), with demonstrated emphasis on operational continuity during migration.
5+ years managing production integration systems at high volume, with a strong understanding of supply chain data requirements in a retail context; proficiency with enterprise ITSM tooling, for incident and change management.
Practical understanding of AI/ML as it applies to integration engineering - including AIOps tooling for intelligent monitoring and anomaly detection, integration patterns that support AI/ML data pipelines, and the governed use of AI-assisted development tools (including GitHub Copilot) within an engineering team.
Bachelor's degree in computer science or IS; excellent communication skills to facilitate technical alignment across IT.

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Director, AI Engineer

KPMG

Chicago, IL 60629

OnsiteHealth InsuranceRetirement Benefit

Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations
Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
Travel as needed
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 (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

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RTL Design Engineer for AI Evaluation

SaidGig

Chicago, IL

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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

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Engineering Manager - Retail Media Network

Ulta Beauty

Bolingbrook, IL 60440

$119,300-$175,000/yr

~ 46 min OnsiteHealth InsurancePaid Time Off

B.S. in Computer Science or Computer Information Systems
8+ years experience in product development or related technical field
2+ years leading or managing technical teams, ideally within retail media, ad tech, or data platform environments
Experience with relevant tech stack including backend services built in Java, cloud‑native platforms on Google Cloud Platform (GCP), large‑scale analytics and reporting leveraging BigQuery, and integrations with third‑party ad tech and data platforms
Experience driving technical and analytical teams
Experience integrating platforms such as The Trade Desk, LiveRamp, Criteo, Citrus Ads and Google Ad Manager into RMN technology ecosystems
Experience implementing server-side tracking (CAPI) and identity frameworks (e.g., UID2)
Exposure to clean rooms and privacy-enhancing technologies
Experience building or integrating attribution models (MTA, MMM, incrementality)
Proven experience with agile (continuous delivery) and iterative methodologies
Solid experience with hybrid & cloud environments
Proven experience in eliciting requirements and enterprise automation
Solid experience writing product development requirements and architecture
Demonstrated experience in generating process modeling

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General Engineer-Distribution Capacity Planning

ComEd

Villa Park, IL 60181

$92,000/yr

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Carrier Sales Representative - 2nd Shift

Forward Air, Inc.

Des Plaines, IL 60019

$60,000-$65,000/yr

~ 27 min Onsite

Must have the ability to work in a fast-paced environment

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Advanced Manufacturing - Industrial Engineer (REMOTE)

Dover Corporation

Downers Grove, IL 60515

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in industrial engineering (preferred) or Mechanical/Electrical Engineering with strong focus on manufacturing systems and assembly operations.
Minimum 5 years of experience in assembly-driven manufacturing environments, with a focus on flow optimization, line efficiency, and productivity improvement.
Proven experience designing and improving assembly lines, including line balancing, takt time definition, and labor optimization.
Strong expertise in material management and internal logistics systems, including PFEP (Plan for Every Part), Kanban, FIFO, and pull-based replenishment systems.
Demonstrated experience in analyzing and optimizing end-to-end material flow, including line-side delivery, part presentation, and WIP control.
Solid understanding of manufacturing and assembly processes, including workstation design, operator ergonomics, and one-piece flow implementation.
Hands-on experience with Value Stream Mapping (VSM), Cycle Time (CT) studies, and bottleneck analysis to drive flow efficiency and lead-time reduction.
Experience supporting industrialization and assembly line setup, including equipment specification, integration, and performance validation aligned with flow requirements.
Strong knowledge of Lean Manufacturing principles, with emphasis on flow, pull systems, waste elimination, and standard work in assembly environments.
Experience developing and sustaining standard work, visual management, and flow control mechanisms across production lines.
Excellent communication and collaboration skills, with ability to influence OpCo teams, production leaders, and supply chain stakeholders.
Ability to manage multiple priorities and deliver results in dynamic, fast-paced production environments.
Strong sense of ownership, accountability, and results orientation, with focus on operational execution and measurable impact.
Highly organized, with a structured and analytical approach to solving flow, material availability, and line performance challenges.
Data-driven mindset with the ability to develop scalable and practical solutions for assembly and material flow systems.
Travel as required (up to 60%) to support OpCo engagement and onsite implementation of assembly and flow improvements.
Work Arrangement: Remote