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Ai Development Manager

Dallas,TX

1511 Ai Development Manager jobs in Dallas,TX

Featured Opportunity

Customer Success Specialist - Up to $2500 sign-on bonus

Verizon Wireless - Dallas, TX

Verizon Wireless - Dallas, TX

Customer Success Specialist - Up to $2500 sign-on bonus
$2,500 bonus
RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
New, Posted 11 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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Remote Customer Service

Hire Standard Staffing

Dallas, TX

$120,000/yr
RemoteHealth Insurance

  • Must be a U.S. or Canadian citizen
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New, Posted 11 hours ago
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Director, AI Strategy Architect

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
  • Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
  • Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems, integrating complex RAG pipelines, and connecting GenAI to proprietary enterprise data (Knowledge Graphs, Vector Databases) that handle complex, dynamic tasks and conversations
  • Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), and demonstrating a strong grasp of model-agnostic architectures leveraging both proprietary and open-weight foundational models for scalable, automated systems with expertise in agentic AI and automation
  • Skilled in designing multi-agent conversational and autonomous AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
  • Deep understanding of scaling AI-driven solutions, GenAIOps/LLMOps (including LLM evaluation frameworks, prompt versioning, routing, and cost optimization), AI governance, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
  • Travel as needed
  • 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 (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
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New, Posted 1 day ago
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Analyst/Sr Analyst, Resource Planning and Strategy

American Airlines

Dfw Airport, TX 75261

OnsiteHealth InsuranceRetirement Benefit

  • 2+ years of related experience in an airline or aviation consulting firm as an analyst in operations, finance, or corporate development
  • BS/BA degree in a related field - preferably in engineering, business, mathematics, or economics
  • Expert in Excel and PowerPoint
  • Motivated professional that is capable of managing a heavy workload while prioritizing complex tasks
  • An agile, self-starter with the ability to deal with ambiguity
  • Adapts well in fast-paced/changing environments
  • Shows up every day with a high can-do attitude and energy
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Benefits Specialist - Remote

Serur Organization

Dallas, TX

Remote

  • Customer Service Rep Work From Home
  • Benefits Representative
  • Remote work
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Program Planner - TX

Lockheed Martin

Grand Prairie, TX 75051

RemoteFlexible Schedule

  • Exposure to Network scheduling tools (MS Project, Open Plan, Primavera, etc)
  • Proficient with Microsoft Office applications
  • Demonstrated critical thinking and problem-solving abilities
  • Experiences with networked schedules, critical path methodology
  • Experiences delivering briefings to team members and project teams
  • Knowledge of Schedule Performance Management Techniques, e.g. Earned Value Management
  • Ability to obtain DoD SECRET clearance for consideration
  • Bachelor's degree
  • 3 years or more of experience in planning or program management related discipline
  • Critical Path Scheduling methodology
  • Integrated Master Schedule (IMS) development and maintenance
  • Production / Sustainment / Depot Operations
  • Work Breakdown Structure (WBS) Development
  • Proposal knowledge
  • Integrated Master Plan (IMP) knowledge
  • Advanced Excel skill set including macros, lookup tables and VBA
  • Exposure to Schedule Risk Assessment process/tools
  • Ability to communicate utilizing different techniques and build strong relationships
  • US Citizen for consideration
  • Secret clearance
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Customer Service Benefits Specialist - Virtual (Remote)

Hire Standard Staffing

Dallas, TX

$120,000/yr
RemoteHealth Insurance

  • Must be a U.S. or Canadian citizen
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Business Development Representative - Up to $2500 sign-on bonus

Verizon Wireless

Dallas, TX 75217

$2,500 bonus
HybridEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree or four years of work or military experience.
  • One or more years of relevant work experience.
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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 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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New, Posted 4 hours ago
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Entry Level Management

Ramos Agencies

Dallas, TX 75217

$75,000-$95,000/yr
Onsite

  • Background Check
  • Driver License
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