5012 Forward Deployed Ai Engineer Enterprise jobs in Dallas,TX

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AI Product Manager

eClercx

Dallas, TX 75201

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Manager, Enterprise Business Development

Spectrum

Coppell, TX 75019

~ 31 min OnsiteUrgently Hiring

Experience: Two or more years of competitive sales development management experience; Proven record of sales success.
Education: Bachelor's degree in business administration, marketing, a related field or equivalent experience.
Technical skills: Knowledgeable in using Salesforce to analyze marketing campaigns; Experience organizing, implementing and maintaining sales goals; Understanding of Enterprise level voice and data telecommunications solutions; Proficient in Microsoft Office.
Skills: Organizational, time management, relationship building, negotiation, closing and English communication skills.
Abilities: Ability to continuously hire, onboard and train new sales representatives.
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

SmartExplore AI is experimental.

New, Posted 1 day ago

Enterprise Architect– Data, AI

Fisher Investments Careers

Dallas, TX 75217

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AI Program Manager - Dallas, TX

Tenet Healthcare

Dallas, TX 75201

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Founding Product Manager (Healthcare AI | 0-to-1 Builder)

HireNow Staffing

Dallas, TX 75201

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Senior Manager, Advertising Strategy & Intelligence, AI Technologies

Texas Instruments

Dallas, TX 75243

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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

SmartExplore AI is experimental.

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