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Ai Application Engineer

Dallas,TX

1321 Ai Application Engineer jobs in Dallas,TX

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Salesforce Application Architect

Keurig Dr Pepper

Frisco, TX 75033

~ 29 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
  • 10 – 12+ years of experience in IT and business/industry including strategic and operations planning
  • 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.
  • 3–5 years of IT experience including Salesforce architecture, design, and delivery.
  • Knowledge of SDLC methodologies with experience delivering Salesforce solutions in Agile and DevOps environments
  • Proven ability to translate strategic vision into executable Salesforce roadmaps.
  • Ability to lead cross-functional teams and communicate effectively with business stakeholders.
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New, Posted 11 hours ago

Application Engineer - AI Trainer

DataAnnotation

Dallas, TX 75217

Flexible ScheduleBilingual Preferred
New, Posted 1 day ago
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Developer/Sr Developer, IT Applications

American Airlines

Fort Worth, TX 76101

New, Posted 1 day ago

Remote Online Tasks – Earn Up to $1,500/month Playing Games

Free Cash

Dallas, TX 75396

$1,500/mo
Remote
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Principal Engineer - Python API Development

Fidelity Investments

Southlake, TX 76092

~ 36 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
  • 8+ years (typically 10+) building and operating production platforms and services at scale
  • Deep software engineering expertise in Python and distributed systems
  • A track record of building production‑grade services, libraries, and internal platforms
  • Linux fluency and scripting are required
  • Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
  • Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
  • DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
  • Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
  • ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
  • Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
  • Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
  • Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
  • Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
  • Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
  • Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
  • Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
  • Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
  • The base salary range for this position is $107,000-216,000 USD per year.
  • Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
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Sr. Software Development Engineer

Disability Solutions

Frisco, TX 75034

Flexible Schedule
New, Posted 3 hours ago
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Applied Early Career Program - Field Service Engineer (DALLAS)

Applied Materials

Dallas, TX 75201

UPS - Warehouse Worker/Package Handler $21+/hr

UPS

Dallas, TX 75243

$21/hr
No Experience
Easy Apply

Remote Customer Service

Hire Standard Staffing

Dallas, TX

$120,000/yr
RemoteHealth Insurance

  • Must be a U.S. or Canadian citizen
SmartExplore AI is experimental.
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Application System Analyst II - IS Support Imaging

CHRISTUS Health

Irving, TX 75039

Urgently Hiring
  1. Dallas,TX Jobs
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  3. Ai Application Engineer Jobs

What companies are hiring Ai Application Engineer jobs in Dallas,TX?

  1. Keurig Dr Pepper
  2. DataAnnotation
  3. American Airlines
  4. Free Cash
  5. Fidelity Investments
  6. Disability Solutions
  7. Applied Materials
  8. UPS
  9. Hire Standard Staffing
  10. CHRISTUS Health

What is the hourly salary range for Ai Application Engineer jobs in Dallas,TX?

The hourly salary range is $21 - $21.

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