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Foundation Ai

Pennsylvania

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884 Foundation Ai jobs in Pennsylvania

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Executive Partner, Artificial Intelligence Advisory/ AI Strategist

Gartner

Philadelphia, PA 19120

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AI Data Reviewer – Flexible Hours, No Experience Needed

RLDG

Philadelphia, PA 19120

$25/hr
Remote

  • Authorized to work in the U.S.
  • Reside in Pennsylvania or Michigan (required)
  • Able to pass a background and employment credit check
  • Have a laptop or tablet to complete tasks
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Senior Vice President, Transaction Management Group Manager

BNY

Pittsburgh, PA 15219

Hybrid

  • Bachelor's degree or the equivalent
  • 7-10 years of work experience in Deal Management and/or Corporate Trust
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AI Content Reviewer – Flexible Hours, No Experience Needed

RLDG

Philadelphia, PA 19120

$25/hr
Remote

  • Reside in Pennsylvania or Michigan (required)
  • Able to pass a background and employment credit check
  • Authorized to work in the U.S.
  • Have a laptop or tablet to complete tasks
SmartExplore AI is experimental.
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DiversityJobs
Account Executive, Finance Practice, LE GBS

Gartner

Philadelphia, PA 19120

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Senior Manager, R&D Data Stewardship

CSL Behring

King of Prussia, PA 19406

New, Posted 20 hours ago
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Director, AI Engineer

KPMG

Philadelphia, PA 19120

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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Associate Director, Data Science & AI

CSL Behring

King of Prussia, PA 19406

Mobile Equipment Mechanic - Competitive Wages

01057 - Heidelberg Materials NE LLC

Plymouth Meeting, PA 19462

$30-$35/hr
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Maintenance & Reliability Planner

Keurig Dr Pepper

Allentown, PA 18102

$10,000 bonus
OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in engineering, Manufacturing, or a related field preferred.
  • Experience in the manufacturing industry, especially Aseptic manufacturing environments.
  • Proven experience in technical program management.
  • Strong competence level with SAP CMMS.
  • Experience facilitating, coaching, and implementing TPM, Lean, Kaizen/Six Sigma events, or driving lean transformation with proven results and implementations in a manufacturing environment (5S, Autonomous Maintenance, Planned Maintenance, visual management, and leading Kaizen events).
  • Previous mechanical/electrical experience maintaining production equipment preferred.
  • Experience coaching and leading cross-functional teams, including team building, understanding motivation and negotiation techniques, and providing work direction to others.
  • Ability to work independently and lead cross-functional teams.
  • Thorough knowledge of occupational hazards and safety precautions.
  • Well Organized, high energy, data driven, and results oriented.
  • Excellent communication and people skills.
SmartExplore AI is experimental.
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