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Ai Transformation Engineer

Chicago,IL

1558 Ai Transformation Engineer jobs in Chicago,IL

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Service Center Engineer

Client Serve & Associates, LLC - Mokena, IL

Client Serve & Associates, LLC - Mokena, IL

Service Center Engineer
$75,000-$95,000/yr
~ 49 min Onsite
New, Posted 12 hours ago
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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)
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Director, Operational Excellence - Training & Transformation

Dover Corporation

Downers Grove, IL 60515

$170,000-$215,000/yr
RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 10-15 years of progressive leadership experience in Operational Excellence, Plant Management, or large-scale transformation roles.
  • Demonstrated success leading enterprise or multi-site change initiatives, not just improvement tools deployment.
  • Extensive experience designing and delivering training and building organizational capability at scale.
  • Strong grounding in Lean, Continuous Improvement, and Operational Excellence methodologies.
  • Hands-on experience driving changes across manufacturing and transactional environments.
  • Familiarity with digital manufacturing and operational systems (ERP, MES, MRP, QMS, CMMS, etc.).
  • Bachelor's degree in engineering or related field; MBA preferred.
  • Lean / Six Sigma or equivalent certifications strongly preferred.
  • Proven ability to translate strategy into execution through people and process.
  • Willing and able to travel up to 75%.
  • Location is negotiable, large airport or Dover manufacturing location preferred.
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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
  • Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
  • Master's degree from an accredited college or university preferred
  • Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
  • 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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Digital Manufacturing Engineer

Fuchs

Harvey, IL 60426

$120,000-$130,000/yr
~ 37 min OnsiteUrgently Hiring

  • Bachelor's degree in Engineering, Computer Science, Data Science, Manufacturing Technology, or a related technical discipline required.
  • 3+ years of experience in a manufacturing, process engineering, automation, or digital manufacturing environment required.
  • Experience working with manufacturing systems and controls environments, including PLCs (Allen-Bradley, Siemens, etc.), SCADA, historians, or IoT/sensor platforms.
  • Strong technical skills in Python, SQL, data integration, and enterprise systems such as SAP, ERP/MES, or comparable platforms.
  • Experience with Microsoft Fabric, Azure Data Factory, Power BI, Tableau, or similar data and analytics platforms preferred.
  • IoT and time-series data integration experience: sensor data, OPC-UA, historian systems, or equivalent.
  • Lean Six Sigma, continuous improvement, or operational excellence experience preferred.
  • Strong analytical, communication, and cross-functional collaboration skills required.
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EY-Parthenon - Strategy and Execution - Growth Platforms - AI ML Engineering - Director

Ernst & Young Oman

Chicago, IL 60290

New, Posted 17 hours ago
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Senior Engineer - T&S Engineering Programs

Exelon

Villa Park, IL 60181

$103,200/yr
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Manufacturing Engineer

Element Solutions

Itasca, IL 60143

$78,906-$98,632/yr
~ 38 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Manufacturing, Industrial, Mechanical Engineering, or related field
  • 3+ years of manufacturing engineering experience, preferably in semiconductor or highly regulated industries
  • Hands-on experience with Lean manufacturing, continuous improvement, and process optimization
  • Knowledgeable in Design for Manufacturing (DFM), PFMEA, DOE, process validation (IQ/OQ/PQ), and process capability analysis
  • Experienced in fast-paced, high-volume production environments
  • Familiar with cleanroom operations, contamination control, and regulatory standards
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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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Chief Technology & AI Officer accentedge HEALTH Early cancer detection, powered by AI and multi[...]

Accentedge

Chicago, IL 60290

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New, Posted 1 day ago
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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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