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Ai Success Engineer

Dallas,TX

2292 Ai Success Engineer jobs in Dallas,TX

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Director, AI Engineer

KPMG

Dallas, TX 75217

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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Commissioning Engineer

Amazon Data Services

Dallas, TX 75215

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience
  • Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience
  • High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others.
  • Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design.
  • Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements.
  • U.S Citizenship Required
  • Ability and willingness to travel domestic and internationally for up to 80% of the year.
  • Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
  • Walk job sites in uneven terrain
  • Work at heights and from ladders
  • Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
  • Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
  • Carry objects weighing up to 49 pounds for short distances
  • Perform physical tasks throughout the day without becoming overly tired
  • Ability to manipulate small wires and objects easily
  • Work in a noisy environment
  • Work in environments that are colder or hotter than a normal office environment
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Manager, AI Engineer

KPMG

Dallas, TX 75217

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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Manufacturing Engineer Stf - Capital Projects

Lockheed Martin Corporation

Arlington, TX 76010

~ 36 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Mechanical, Industrial, or Manufacturing Engineering (or related field).
  • Demonstrated ability to lead multi-disciplinary projects and use project-management tools
  • Strong understanding of manufacturing processes (machining, assembly, additive manufacturing), CAD tools, and DFMA principles.
  • Excellent oral and written communication; able to prepare clear status reports and executive presentations.
  • Ability to obtain a secret clearance
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Manufacturing Engineer, Factory Development

Hadrian

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • Bachelor's degree in Engineering, or a relevant STEM field
  • In lieu of a degree, at least 5 years of leadership experience in a high-intensity production environment
  • Hands-on manufacturing experience
  • Experience in developing and implementing production processes/systems in a high-growth environment
  • Proven track record of project execution in a manufacturing setting
  • Demonstrated proficiency in solving deep technical or operations problems
  • Ability for occasional travel up to 35% of the time
  • ITAR requirements: U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State
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Senior Engineer, Site Reliability, IP

Optimum Communications

Plano, TX 75086

$83,580-$137,241/yr
New, Posted 1 day ago
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Optics Manufacturing Engineer

RTX

Richardson, TX 75081

~ 18 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
  • Typically Requires a Bachelor's degree in Science, Technology, Engineering or Math (STEM) and a minimum of 2 years of prior relevant experience
  • Experience providing engineering support in a precision manufacturing environment, specifically working with high-precision CNC lathes, milling machines, and surface grinders
  • Hands-on expertise in operating and programming 3-axis and/or 5-axis CNC equipment using CAM software such as Mastercam or comparable platforms
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North Texas: Manufacturing Engineering Intern

Texas Instruments

Dallas, TX 75243

  • Pursuing a Bachelors degree in Electrical Engineering, Electrical& Computer Engineering, Chemical Engineering, Mechanical Engineering, Materials Science, Physics, Microelectronics or MET
  • Cumulative 3.0/4.0 GPA or higher
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Manufacturing Engineer

DEAN TECHNOLOGY

Addison, TX 75001

~ 19 min OnsiteHealth InsuranceRetirement Benefit

  • Education: BSEE/BSME/BSMechE and 5+ years' experience, or the equivalent of 10 years' experience in manufacturing engineering, with electronics background.
  • Skills / Technical Knowledge / Experience: Working knowledge of mechanical assemblies, tooling, fixtures, tolerances, and assembly drawings.
  • Skills / Technical Knowledge / Experience: Requires knowledge of fabrication processes, material specification, and general industrial operations.
  • Skills / Technical Knowledge / Experience: Must be a business minded engineer to provide continuous improvements to products and processes.
  • Skills / Technical Knowledge / Experience: Must be proficient with program management tools and have the ability to manage and prioritize multiple projects, tasks, and assignments at once.
  • Must be eligible to work in the United States without sponsorship.
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Specialist, Manufacturing Engineer

L3 Harris

Richardson, TX 75080

~ 18 min OnsiteBilingual Preferred

  • Bachelor's Degree and minimum 4 years of prior relevant engineering experience
  • Graduate Degree and a minimum of 2 years of prior related engineering experience
  • In lieu of a degree, minimum of 8 years of prior related engineering experience
  • Ability to obtain US Secret Security Clearance
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