804 Generative Ai Platform Engineer jobs in Plano,TX

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Manager, AI Engineer

KPMG

Dallas, TX 75217

~ 26 min 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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New, Posted 12 hours ago

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AI Governance Operations Lead Director - RAIB

McKesson

Irving, TX 75039

~ 35 min Onsite

Degree or equivalent experience
Typically requires 12+ years of professional experience
4+ years of management experience
Proven experience designing, implementing, and scaling compliance programs for technology organizations
Strong understanding of AI laws, data protection laws and related regulatory frameworks, with the ability to translate regulatory expectations into practical enterprise workflow
AI/ML Technical Fluency
Understanding of AI/ML lifecycle, model validation, monitoring, and documentation
Familiarity with GenAI/LLM risks (hallucination, prompt injection, etc) +Knowledge of model risk management frameworks and risk‑tiering logic
Ability to influence senior stakeholders (VP/EVP level) across business units
Strong change‑leadership skills to drive adoption of governance processes

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Director, AI Engineer

KPMG

Dallas, TX 75217

~ 26 min 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, Software Engineering

Fidelity Investments

Lewisville, TX 75029

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Director, Software Engineering, Salesforce CRM

Fidelity Investments

Lewisville, TX 75029

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Senior Director, Enterprise Architecture

Keurig Dr Pepper

Frisco, TX 75033

~ 18 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Master's or Bachelor's degree in related field (e.g., Computer Science, Computer Engineering, Electrical Engineering, Information Technology, System Analysis, etc.) or equivalent combination of education and work experience
Multiple years of experience in leading an Enterprise Architecture team
Typically, 10+ years of experience in IT and business/industry including strategic and operations planning
Typically, 10+ years of experience in at least three disciplines, such as business, information, solution, or technical architecture, application development, middleware, information analysis, database management, or operations
Experience in working in multiple, diverse technologies and processing environments.
Native-level proficiency/fluent in English
Experience in DevOps and Agile technology environments

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New, Posted 14 hours ago

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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

Paid Relocation to Dallas, TX

Requires Travel

Associate degree, recent college graduate, military technical training, trade certification, or equivalent hands-on experience
Basic mechanical aptitude and interest in technical systems
Willingness to learn and read electrical and mechanical schematics
Ability to diagnose and solve basic technical problems
Strong written and verbal communication skills
Basic working knowledge of Microsoft Excel, Word, and PowerPoint
Valid driver's license and ability to obtain a passport, if required for travel
Ability to meet on-site safety, environmental, and customer requirements

SmartExplore AI is experimental.

New, Posted 1 day ago

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Digital Solution Consultant Senior Analyst

NTT DATA Services, LLC

Plano, TX 75086

New, Posted 9 hours ago

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Customer Service Sales - Entry Level

Sellors Agencies

Arlington, TX 76010

Paid Relocation to Arlington, TX

RemoteFlexible Schedule

This is a commission only role with average earnings of $65,000+ in the first year and uncapped room for rapid growth based on performance
State and federal laws require licensing to sell certain insurance products.
Ability to obtain a license is required

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New, Posted 1 day ago

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Senior Account Executive

PCS Software

Dallas, TX 75201

RemoteHealth InsurancePaid Time OffRetirement Benefit

5+ years of outside sales experience with mid-market and enterprise transportation business focus.
5+ years proven ability to hunt and prospect for sales opportunities via outbound calling, F2F customer meetings, and industry marketing events and campaigns.
B2B phone sales experience required.
2+ years sales experience in one of the following: Transportation or Logistics Software Sales, SaaS Sales, Platform Sales, Technology Sales, or other related industry experience.
CRM experience, preferably, Salesforce.
Demonstrated ability to consistently achieve and exceed quota.
Proven ability to manage leads, manage a pipeline, and forecasting.
Proven record of selling solutions over the phone and in the field with persuasive closing techniques and preferably formal sales methodology and/or software demo training.

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