1074 Genai Python Systems Engineer Manager jobs in Dallas,TX

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Principal Engineer - Python API Development

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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