Jobs in the United States

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(USA) Principal, Software Engineer
Walmart
BENTONVILLE, AR
- $110,000 to $220,000 USD / year
As a Principal Software Engineer, you will lead the design and delivery of scalable platform capabilities, driving the full software development lifecycle from coding to deployment and…
Added 10 mins ago
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Snr Platform Engineer - Salesforce & Integrations
e.Republic
Remote, United States
- $100,000 to $115,000 USD / year
Sr. Platform Engineer - Salesforce & Integrations
Added 12 mins ago
Senior Cloud Platform Engineer, Code Quality Platforms
Fidelity Technology Group, LLC
Westlake, TX
As a Senior Cloud Engineer on the Code Quality Platform team, you will design, build, and maintain platforms and tools that help engineering teams improve software quality, accelerate…
Added 13 mins ago
Mid-Level Model Based Systems Engineer
PMAT
Remote, United States
…designing, building, and securing modern digital capabilities across cloud, data, and software environments. Our teams tackle complex, real-world challenges where delivery matters more than…
Added 15 mins ago
Distinguished, Software Engineer
Walmart Inc.
United States
…Product, Business, Customer Experience, Payments, Fulfillment, and Platform teams to establish the long-term architecture and technology strategy for the Transactions ecosystem. You will…
Added 21 mins ago
Staff Technical Program Manager, Firmware Lifecycle and Release Management
Crusoe
Seattle, WA
…across energy, manufacturing, data center construction, and cloud…
Added 22 mins ago
Senior Pre-Sales Solution Engineer – Northeast
DTEX Systems
Remote, United States
As part of the DTEX Architecture and Solutions Engineering organization, the Senior Solutions Engineer (SE) is a technically sophisticated role combining deep security expertise with…
Added 23 mins ago
Senior Full Stack Software Engineer - Identity Verification & Proofing
Intuit
San Diego, CA · Mountain View, CA
Come join the join Intuit’s Identity Verification Team as a Senior Software Engineer. You’ll be part of a team developing highly available, scalable, industry leading services and…
Added 24 mins ago
Staff Engineer
BlackLine Systems, Inc.
United States
As a Staff Software Engineer, you will play a crucial role in building the next generation of BlackLine and data platform. BlackLine thrives on data and we are investing heavily in being…
Added 26 mins ago
Consulting Architect
Elastic
United States
…the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to…
Added 27 mins ago
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Product Operations Manager
Vesta Innovations Inc.
United States
- $150,000 to $200,000 USD / year
…will be a fully automated process. Today, our AI augmented platform makes that a reality. Our mission has been to build a platform where AI isn’t just an add-on, but the core engine that…
Added 28 mins ago
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Senior AI Engineer
Arine
Remote, United States
- $170,000 to $190,000 USD / year
…healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a…
Added 28 mins ago
National Manager, Software Engineer
Toyota
Plano, TX
You will lead design, user experience, platform integrations, availability, performance, scalability. Build engineering best practices, processes and mechanisms
Added 29 mins ago
DSP Engineer
DPG Solutions LLC
Aurora, CO
We are seeking a Senior Principal Platform DevOps Engineer with a strong background in Windows systems engineering, cloud infrastructure, and automation to join the DPG team. This role…
Added 30 mins ago
Principal AI Engineer
Capgemini
Atlanta, GA, GA
A hands-on AI platform leader who combines platform engineering excellence, AI innovation, cloud-scale architecture, and regulated-industry expertise to build and operate enterprise-grade…
Added 30 mins ago
Forward Deployed Engineer
Capgemini
New York, NY, NY
Support platform operations and AI adoption initiatives.
Added 31 mins ago
Senior Principal Software Application Security
The Huntington National Bank
Remote, United States
Cloud & Platform Engineering: Deploy and manage scalable AI solutions in cloud-native environments using Kubernetes, containers, APIs, and CI/CD pipelines.
Added 33 mins ago
AI Engineer
Entravision
CA
We are seeking an AI / Applications Engineer to build the agents and applications that put our data to work. You will design, build, and evaluate AI agents that automate real operational…
Added 34 mins ago
Senior Azure Cloud Engineer
East Peoria, IL · Nashville, TN · Irving, TX
We are currently seeking a Senior Azure Cloud Engineer to join the Enterprise Cloud Adoption team within Caterpillar Information Technology Division to support IaaS workloads. If you want…
Added 38 mins ago
Senior Cloud Security Engineer
Peraton
Remote, United States
Peraton is looking for a Senior Cloud Security Engineer to lead proactive threat hunting, vulnerability analysis, and remediation in support of a multi-cloud environment with 70+ customer…
Added 38 mins ago
Senior Kubernetes Engineer
Peraton
Remote, United States
Peraton is seeking an experienced Senior Kubernetes Engineer to support development, modernization, and migration of containerized and agentic workloads in a government multi-cloud…
Added 39 mins ago
Lead AI Software Engineer
Humana
Louisville, KY · Dallas, TX · Fort Lauderdale, FL · Nashville, TN · Tampa, FL
We're seeking a Lead AI Software Engineer to help build the next generation of AI-powered products and platforms. This is a hands-on technical leadership role focused on designing,…
Added 39 mins ago
Sr. Developer
HEALTHSTREAM INC
Remote, United States
…credentialing, and scheduling applications delivered on healthcare’s #1 platform. We streamline everyday tasks while improving performance, engagement, and safety – fostering a workplace…
Added 40 mins ago
AI Lead Architect
Infinitive Inc
Remote, United States
…our AI Factory. In this pivotal role, you will bridge modern cloud data architectures and generative/agentic AI…
Added 46 mins ago
Staff Full-stack Engineer - Shopping (Remote-eligible)
Capital One
Montpelier, VT
As a Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of…

Tyler Technologies

ML/AI Data and Cloud Engineer

United States

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Job details

Posting language: English

Original job description

Description

We are seeking an ML/AI Data & Cloud Engineer to design, build, and operate the cloud-native components that deliver large-scale, data-intensive AI capabilities. This role focuses on building scalable data platforms, distributed processing systems, and model-serving infrastructure that enable end-to-end machine learning workflows in production. You will work closely with data scientists and product teams to transform advanced models into reliable, high-performance services. The ideal candidate combines strong engineering skills with a solid grounding in quantitative methods, and is comfortable leveraging modern AI-assisted development tools to accelerate research, prototyping, and delivery.

Responsibilities

Design and implement cloud-native data platforms that integrate structured and unstructured data into scalable data lakes or unified data systems
Build and maintain robust ingestion pipelines using API-driven, streaming, and batch processing workflows
Architect data processing systems for feature engineering, large-scale computation, and model training support
Develop and operate model-serving infrastructure enabling real-time and batch inference via APIs
Develop advanced modeling approaches combining statistical methods and machine learning (e.g., regression, gradient boosting, random forests, and ensemble/meta-learning techniques)
Implement model validation and monitoring frameworks addressing bias, drift, robustness, and performance
Tune cloud infrastructure for performance, reliability, and cost efficiency across compute, storage, and data transfer layers
Build and maintain MLOps pipelines for model deployment, versioning, monitoring, and automated retraining
Ensure platform reliability, fault tolerance, and data integrity across all stages of the data and model lifecycle

Qualifications

Bachelor’s degree in Computer Science, Data Engineering, Engineering, Applied Mathematics, or related field (or equivalent experience)
3+ years of experience in data engineering, cloud engineering, ML platform engineering, machine learning engineering, AI systems, quantitative modeling, or data-intensive platform development
Strong programming skills in Python and experience with backend, data engineering, or experience with modern ML frameworks and data tooling
Experience designing and operating cloud-native systems (AWS or equivalent)
Experience building and maintaining large-scale data pipelines and working with high-volume datasets
Experience developing APIs or microservices for production systems
Solid understanding of distributed systems, data processing, and system reliability concepts
Solid foundation in algorithms, data structures, and computational thinking

Preferred Qualifications

Familiarity with modern AI-assisted development tools and workflows (e.g., LLM-based coding assistants, agentic development environments, or similar tools)
Exposure to machine learning workflows and the infrastructure required to support training and inference at scale
Experience with cloud services (e.g., AWS: S3, EC2, Lambda, Glue, SageMaker, or equivalents)
Experience with containerization (Docker/Podman, ECS)
Experience with data lake architectures and multi-source data ingestion patterns
Familiarity with MLOps practices, including reproducibility, model versioning, and deployment automation
Working knowledge of statistics, econometrics, quantitative modeling, and optimization
Familiarity with cloud cost optimization strategies and performance tuning

What You’ll Work On

Scalable cloud data platforms integrating diverse, high-volume datasets
Foundational predictive models that adapt across markets rather than being rebuilt for each use case
A cloud-native platform supporting data ingestion, model training, inference, and scalable deployment
Intelligent systems for ranking, matching, scoring, and explanation of model outputs
Robust evaluation and monitoring frameworks for model performance and reliability
API-driven integration of AI capabilities into broader software ecosystems

Why Join Us? You’ll work on challenging, high-scale systems at the intersection of data engineering, cloud infrastructure, and machine learning. This role offers the opportunity to build foundational platforms that support advanced AI capabilities while shaping architecture, tooling, and best practices in a rapidly evolving space.

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