756 Associate Ai Enablement jobs in Dallas,TX

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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Lead Software Engineer (Python, AI) - AskGartner

Gartner

Irving, TX 75039

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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 18 hours ago

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Director, AI Engineer

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 such as chatbots and virtual assistants 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), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
Skilled in designing multi-agent conversational 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, ethical AI, 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 8 hours ago

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Data Scientist

MV Transportation

Dallas, TX 75204

Onsite

Masters/PhD in Operations Research, Industrial Engineering, Transportation Engineering, Computer Science, Applied Mathematics, Statistics, or a related field.
7+ years of industry experience working in transportation, logistics, mobility, or complex operational environments.
Demonstrated success operating in highly cross-functional settings.
Deep expertise in optimization, simulation, and statistical modeling, combined with ML.
Strong programming skills in Python ; experience integrating OR solvers and dashboards.
Experience delivering solutions in cloud-based, enterprise environments.
Exceptional communication and stakeholder-management skills.
Experience leading or designing agentic AI systems across multiple teams or functions.
Ability to explain agentic concepts clearly to operations, leadership, IT, and risk teams.
Strong judgment in distinguishing when:
Deterministic OR is sufficient
ML adds value
Agentic AI is appropriate
Commitment to responsible AI deployment, particularly in safety-, equity-, and compliance-sensitive transportation systems.

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Manufacturing Engineering Associate Manager (Level 4)

Lockheed Martin

Grand Prairie, TX 75051

Paid Relocation to Grand Prairie, TX

Hybrid~ 28 minFlexible SchedulePaid Time Off

Bachelors or higher degree in an engineering discipline
Ability to obtain a security clearance
Ability to lead cross functional teams
Knowledge of Lean manufacturing principles
Demonstrated presentation skills
Ability to build positive relationships with the customer
Effective interpersonal skills, including team building and collaboration
Manufacturing background
Ability to travel domestic and/or international
MUST BE A U.S. CITIZEN
The selected candidate must be able to obtain a Secret clearance
A company-sponsored interim Secret clearance is required to start
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret

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Senior Product Security Engineer - Applications

Optimum Communications

Plano, TX 75086

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New, Posted 1 day ago

Seasonal Tax Associate - In-Store

Intuit

Dallas, TX 75206

OnsiteBilingual Preferred

You must possess or be able to obtain any related State licenses, certificates, permits, or bonds
An active Preparer Tax Identification Number (PTIN)
Minimum of 3 years of paid experience filing 50 or more federal and state individual 1040 tax returns per tax season using professional tax preparation software
Familiarity with Circular 230
Have full availability for a flexible 25–34 hour weekly schedule, including afternoons, evenings, and weekends, with the ability to increase hours during peak seasons
Must reside within the United States
Must possess or be able to obtain any related State licenses, certificates, permits, or bonds

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