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Ai Platform Engineer Jobs in Addison, TX (NOW HIRING)

Charles Schwab Inc.

AI Platform Developer

Southlake, TX · On-site

$55.29 - $67.31/hr

Build and scale cloud-native data, AI platforms, and AI agents on GCP * Enable Treasury analysts through LLMs, vector search, AI agents, and BI tooling * Establish modern data engineering and DevOps ...

Charles Schwab

AI Platform Developer

Southlake, TX

Build and scale cloud-native data, AI platforms, and AI agents on GCP * Enable Treasury analysts through LLMs, vector search, AI agents, and BI tooling * Establish modern data engineering and DevOps ...

Scotiabank

Director, AI Platform

Dallas, TX · On-site

Purpose The Director, AI Platform, is a senior engineering leader responsible for defining, building, and scaling the enterprise AI platform that enables safe, governed, and reusable AI capabilities ...

Scotiabank

Director, AI Platform

Dallas, TX · On-site

Purpose The Director, AI Platform, is a senior engineering leader responsible for defining, building, and scaling the enterprise AI platform that enables safe, governed, and reusable AI capabilities ...

Armaninollp

Senior Data & AI Platform Engineer

Dallas, TX · On-site

$66.50 - $89/hr

Minimum 6 years in data engineering, platform engineering, analytics engineering, or cloud ... Hands-on AI/ML/GenAI enablement experience (model lifecycle, AI Search, Azure OpenAI integration ...

McAfee

Senior Platform Engineer - Frisco

Frisco, TX · On-site +1

$101K - $138K/yr

The role combines deep expertise in platform engineering, AI infrastructure, and generative AI at enterprise scale. It operates with a platform-as-a-product mindset, enabling self-service AI ...

DTCC

Platform Engineer

Coppell, TX · On-site

Design, build, and maintain scalable AI/ML platforms using AWS services including SageMaker, Amazon Bedrock, Bedrock Agent Core, Amazon Q Developer and Kiro. * Manage and optimize AWS EMR clusters ...

AgileEngine

AI Platform Tech Lead ID84742

Dallas, TX · On-site

The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI ...

AgileEngine

AI Platform Tech Lead ID84742

Dallas, TX · On-site

The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI ...

eNett

Senior Backend Engineer - AI Platform

Dallas, TX · On-site +1

$121K - $159K/yr

... AI Platform. Within this capacity, you will be responsible for the design, development, and deployment of autonomous AI agents, skills, MCP servers, AI tools engineered for advanced reasoning ...

WEX

Senior Backend Engineer - AI Platform

Dallas, TX · On-site +1

$121K - $159K/yr

... AI Platform. Within this capacity, you will be responsible for the design, development, and deployment of autonomous AI agents, skills, MCP servers, AI tools engineered for advanced reasoning ...

Tixy

Detection & Platform Engineer

Dallas, TX · On-site

SIEM & SOAR Platform Management -- Engineering, administration, optimization, and reliability of ... AI SOC -- Deploying and scaling AI-driven investigation, triage, and analyst-assistance ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Addison, TX

Ai Platform Engineer information

See Addison, TX salary details

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How much do ai platform engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai platform engineer in Addison, TX is $61.91, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $71.44 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What are popular job titles related to Ai Platform Engineer jobs in Addison, TX?

For Ai Platform Engineer jobs in Addison, TX, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in Addison, TX look for?

The top searched job categories for Ai Platform Engineer jobs in Addison, TX are:

What cities near Addison, TX are hiring for Ai Platform Engineer jobs?

Cities near Addison, TX with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you

AI Platform Developer

Charles Schwab Inc.

Southlake, TX • On-site

$55.29 - $67.31/hr

Full-time

Posted 5 days ago

Job description

Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning.
About Treasury & This Role
Treasury plays a critical role in safeguarding the company's financial health, managing liquidity, cash flow, funding, and risk across the enterprise. Through an integrated risk-stripe approach spanning market, liquidity, and capital risk, Treasury actively manages the firm's balance sheet to support sustainable business growth. In parallel, Treasury operates deeply embedded cash management and settlement functions that ensure daily obligations are met, while owning fund transfer pricing capabilities that enable the businesses to accurately attribute profitability.
As Treasury continues to modernize, we are investing heavily in data, cloud platforms, and AI to elevate analyst productivity, decision-making speed, and analytical depth. This role sits at the center of that transformation - bridging technical execution with business understanding to deliver platforms and tools that Treasury stakeholders actually use and trust.
The Senior Specialist, Treasury Cloud & AI Platforms will implement the design and evolution of cloud-native data and AI capabilities that directly power Treasury analyst workflows. This role is responsible for creating the technical foundation that enables advanced analytics, data products, and AI-assisted insights across Treasury. You will be expected to understand Treasury's business context - how analysts think about risk, liquidity, and capital - and translate that understanding into solutions that drive measurable impact.
Role Overview
This is a hands-on technical role for someone who combines strong engineering fundamentals with genuine curiosity about the business problems they're solving. You should be equally comfortable writing Python, building cloud infrastructure, evaluating open-source tools, and sitting with a Treasury analyst to understand what they actually need.
You will:
  • Build and scale cloud-native data, AI platforms, and AI agents on GCP
  • Enable Treasury analysts through LLMs, vector search, AI agents, and BI tooling
  • Establish modern data engineering and DevOps practices
  • Translate analytical and business needs into production-grade systems
  • Leverage open-source technologies to accelerate delivery and avoid vendor lock-in

The role contributes directly to embedding AI, analytics, and self-service capabilities into day-to-day Treasury workflows.
Key Responsibilities
AI & Advanced Analytics
  • Enable AI-driven Treasury workflows using:
    • Vertex AI
    • Large Language Models (LLMs)
    • Vector search / embeddings
  • Build, deploy, and operate AI agents and multi-agent systems at scale for production Treasury workflows
  • Partner with analysts to productionize AI-assisted research, analysis, and reporting
  • Evaluate and integrate emerging open-source AI and data tooling

Cloud & Platform Engineering
  • Architect, build, and operate cloud-native platforms on GCP
  • Own infrastructure patterns for data, analytics, AI, and BI services
    Ensure platforms are secure, scalable, observable, and resilient

Data Engineering & Analytics Enablement
  • Design and maintain modern data pipelines and data models
  • Strong software engineering skills, including experience building services and APIs using Python or other modern languages
  • Build analytical and BI systems using tools such as dbt, dlt, DuckDB, and cloud-native storage and compute
  • Enable consistent, trusted data access for Treasury analytics and reporting

DevOps & CI/CD
  • Establish and enforce CI/CD pipelines for data and AI workloads
  • Partner with security and platform teams to align with enterprise standards
  • Promote Infrastructure-as-Code and automation-first practices

What you have
Required Qualifications
  • 4+ years of experience in software, data, or platform engineering
  • Hands-on experience with Google Cloud Platform (GCP)
  • Experience building and scaling AI agents (e.g., agentic frameworks, multi-agent orchestration, tool-use patterns)
  • Experience with CI/CD, DevOps, and production operations
  • Proficiency in Python for data engineering, automation, and AI development

Preferred Qualifications
  • Proficiency with Terraform for Infrastructure-as-Code, including collaborative workflows in a team setting
  • Demonstrated experience evaluating, adopting, and contributing to open-source data and AI tooling
  • Background in data engineering and building data systems
  • Exposure to BI and analytics platforms (e.g., Looker, Tableau, or similar) and understanding of how analysts consume data
  • Ability to understand Treasury functions (risk, liquidity, capital, funding) and connect technical work to business outcomes
  • Working knowledge of modern analytics and AI stacks, including:
    • dbt, dlt, DuckDB
    • Vector search / embeddings
    • LLM-based systems
    • Agentic AI frameworks and orchestration

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

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