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Agentic Ai Software Engineer

Dallas,TX

1304 Agentic Ai Software Engineer jobs in Dallas,TX

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Principal Engineer, IT Software

American Airlines

Fort Worth, TX 76101

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Principal Engineer, IT Software

American Airlines

Fort Worth, TX 76101

New, Posted 14 hours ago
DiversityJobs

Sr/Staff AI Engineer (Remote - US)

BNSF Railway

Fort Worth, TX 76131

Remote
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Sr. Software Development Engineer

Disability Solutions

Frisco, TX 75034

Flexible Schedule

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

Free Cash

Irving, TX 75037

$1,500/mo
Remote
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Information Technology Professional (IT Support)

U.S. Navy

Dallas, TX 75217

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Virtual Desktop & Exchange Engineer with Security Clearance

Gridiron IT Solutions

Dallas, TX 75201

Remote
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Special Agent, $40,000 Recruitment Incentive

The United States Secret Service

Dallas, TX 75215

New, Posted 11 hours ago
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Automation Engineer

Amazon.com Services LLC

Dfw Airport, TX 75261

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent
  • 2+ years of PLC programming or automation engineering experience
  • Experience with PLC-controlled automation and issue diagnosis in a continuous process or production environment
  • Experience with robotics work cells and its control systems
  • Experience with Ladder Logic and structure programming from Siemens, Allen-Bradley, or Codesys PLCs
  • Experience with electrical theory, robotics, controls components, and automated equipment
  • PLC/PC controllers
  • Industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus
  • Motor control systems
  • Servo drives
  • Frequency drives
  • Electrical distribution systems
  • Move up to 49lbs as well as stand and walk during shifts lasting up to 12 hours, with or without reasonable accommodation
  • Climb ladders and gangways safely and without limitation
  • Regular bending, lifting, stretching, and reaching both below the waist and above the head
  • Engage in full manual dexterity in both hands and wrists
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New, Posted 1 day ago
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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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New, Posted 14 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

Euless, TX 76039

~ 28 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.
SmartExplore AI is experimental.
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  1. Dallas,TX Jobs
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  3. Agentic Ai Software Engineer Jobs

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

  1. American Airlines
  2. BNSF Railway
  3. Disability Solutions
  4. Free Cash
  5. U.S. Navy
  6. Gridiron IT Solutions
  7. The United States Secret Service
  8. Amazon.com Services LLC
  9. KPMG
  10. Fidelity Investments

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