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Genai Python Systems Engineer Manager

Dallas,TX

1074 Genai Python Systems Engineer Manager jobs in Dallas,TX

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Principal Engineer - Python API Development

Fidelity Investments - Irving, TX

Fidelity Investments - Irving, TX

Principal Engineer - Python API Development
~ 22 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
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Principal Engineer - Python API Development

Fidelity Investments

Coppell, TX 75019

~ 31 min OnsiteUrgently HiringEducation 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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Principal Engineer, IT Software

American Airlines

Fort Worth, TX 76101

Urgently Hiring
New, Posted 17 hours 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
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Technical Writer - Level 3

Lockheed Martin

Fort Worth, TX 76137

~ 44 min OnsiteUrgently HiringFlexible Schedule

  • 3-6 years of professional technical writing experience in aerospace, defense, or a similarly regulated industry; direct exposure to joint or multi‑agency programs preferred.
  • Familiarity with systems engineering concepts, system architecture, and/or basic hardware/software terminology; ability to read schematics, block diagrams, and/or software code excerpts.
  • Bachelor's degree in Engineering, Computer Science, Technical Communication, or a related technical field.
  • Ability to obtain and maintain a Secret (or higher) clearance as required by the program.
  • This position requires a government security clearance, you must be a US Citizen for consideration.
  • Clearance Level: Secret
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Manufacturing Engineering Manager - Level 5

Lockheed Martin

Fort Worth, TX 76108

~ 44 min OnsiteFlexible Schedule

  • BS/MS in Manufacturing Engineering or related field or equivalent manufacturing experience
  • Prior leadership experience
  • Prior Production Engineering experience, including manufacturing planning experience
  • Project management experience
  • MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access.
  • Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
  • Clearance Level: Secret
  • Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
  • Schedule for this Position: 4x10 hour day, 3 days off per week
  • Relocation Available: Possible
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Manufacturing Engineer

Megger

Dallas, TX 75217

Onsite

  • Bachelor's degree in engineering
  • Analytical and mathematical proficiency
  • 5-8 Years experience directly working in an electro-mechanical manufacturing industry
  • English fluency
  • Effective communication skills to interface with assembly personnel
  • Familiarity with Surface Mount and through hole assembly technologies
  • Experience with IPC 610 & ISO 9000 standards
  • Working knowledge of ERP systems, SAP preferred
  • Lean or Six Sigma Green Belt certification
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Manager, IT Vulnerability Management

American Airlines

Fort Worth, TX 76101

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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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Lean Manufacturing Engineer

Teledyne

Garland, TX 75040

~ 26 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Associate's degree in engineering (Mechanical, Electrical, Materials, Industrial, or related discipline) - required
  • 7-8 years of experience in manufacturing engineering, process development, or continuous improvement - required
  • Hands-on experience with microelectronics or high-reliability manufacturing processes such as wire bonding, die attach, hermetic sealing, welding, or precision assembly - required
  • Strong cross-functional communication skills with the ability to coordinate engineering, quality, and manufacturing teams - required
  • Ability to manage multiple technical initiatives, track actions and risks, and drive timely closure - required
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