Jobs in the United States

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Added 1 min ago
Cyber - AI Engineer - Manager - Consulting
EY
Providence, RI
As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges.…
Added 1 min ago
Quality Engineer, AI & Test Automation
Baylor Scott & White Health
Providence, RI
· The Quality Engineer, AI & Test Automation helps modernize BSWH’s quality approach by moving beyond traditional manual testing toward automation-first, engineering-integrated, and…
Added 5 mins ago
Quality Engineer, AI & Test Automation
Baylor Scott & White Health
Carson City, NV
· The Quality Engineer, AI & Test Automation helps modernize BSWH’s quality approach by moving beyond traditional manual testing toward automation-first, engineering-integrated, and…
Added 6 mins ago
Cyber - AI Engineer - Manager - Consulting
EY
Carson City, NV · Las Vegas, NV
As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges.…
Added 12 mins ago
Senior AI Engineer (AI Automation)
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer (AI Automation) based in United States.
Added 13 mins ago
Senior Forward Deployed Engineer, AWS Forward Deployed Engineering
Amazon Web Services, Inc.
Boston, MA · Seattle, WA · Arlington, VA · New York, NY · East Palo Alto, CA · San Francisco, CA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 15 mins ago
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AI - Cybersecurity Forward Deployed Engineer - FDE Senior Manager
Accenture
Nashville, TN
- $132,500 to $366,300 USD / year
…not a pen test engagement. A Cybersecurity Forward Deployed Engineer is a production engineer who works embedded inside a client’s enterprise - shoulder to shoulder with their security and…
Added 15 mins ago
Cyber - AI Engineer - Manager - Consulting
EY
Nashville, TN · Chattanooga, TN · Memphis, TN
As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges.…
Added 15 mins ago
Sr TPM, Fwd Deployed Engineer , Business Innovation and AI
Amazon
Nashville, TN
…interfaces with AI agents, so a lot of what you build will be…
Added 15 mins ago
TPM, Fwd Deployed Engineer, Business Innovation and AI
Amazon
Nashville, TN
…interfaces with AI agents, so a lot of what you build will be…
Added 15 mins ago
A
Cybersecurity AI Forward Deployed Engineer - FDE - Manager
Accenture
Nashville, TN
- $94,400 to $316,300 USD / year
…not a pen test engagement. A Cybersecurity Forward Deployed Engineer is a production engineer who works embedded inside a client’s enterprise - shoulder to shoulder with their security and…
Added 15 mins ago
Quality Engineer, AI & Test Automation
Baylor Scott & White Health
Nashville, TN
· The Quality Engineer, AI & Test Automation helps modernize BSWH’s quality approach by moving beyond traditional manual testing toward automation-first, engineering-integrated, and…
Added 15 mins ago
Senior Agentic AI Software Engineer
Insight Global
Nashville, TN
The Staff Agentic AI Engineer will provide crucial engineering leadership in the application of advanced Generative AI, supporting the revolutionization of healthcare by designing and…
Added 51 mins ago
QA / DevOps Engineer
NetSpeek
Remote, United States
NetSpeek is the agentic control plane for enterprise physical infrastructure. We govern how AI agents reason about, decide on, and execute actions across enterprise endpoints. Our reasoning…
Added 51 mins ago
AI Engineer
Emergence AI
Irvine, CA
As an AI Engineer, you'll build customer-facing capabilities across Emergence's Enterprise Agent Platform, working directly with Product Management, Customer Success, and enterprise…
Added 51 mins ago
Forward Deployed Engineer
Elixirr Consulting
United States
5+ years as a software engineer shipping working systems; recent hands-on experience building LLM-powered or agentic applications.
Added 53 mins ago
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Founding Full-Stack Engineer (AI) - Centralize (YC24)
Outbound
CA · San Francisco, CA
- $100,000 to $160,000 USD / year
examples: agentic workflows, complex chatbots, etc. Their role when they join Centralize will be to spearhead our upcoming AI features.
Added 55 mins ago
WA
Senior Full Stack Engineer
WerQ AI
Remote, United States
- $140,000 to $200,000 USD / year
…professionals by putting them in control of their careers. Our agentic AI works for you, not against you, automating tedious job search workflows so you can focus on what truly matters:…
Added 55 mins ago
WA
Fullstack Engineer
WerQ AI
Remote, United States
- $140,000 to $200,000 USD / year
…professionals by putting them in control of their careers. Our agentic AI works for you, not against you, automating tedious job search workflows so you can focus on what truly matters:…
Added 58 mins ago
Principal Engineer
Modern Relay
New York City, NY · San Francisco, CA
We’re looking for a Principal Engineer to lead the design and delivery of core platform capabilities across our stack. You’ll operate as a senior technical leader - owning architecture…
Added 1 hour ago
FY
Sr/Staff Mobile Engineer (React Native)
Find Your Talent (FYT)
San Francisco, CA
- $230,000 to $330,000 USD / year
We're looking for a Senior/Staff React Native Engineer to join a high-growth health tech company, where a small, elite team powers a large-scale platform serving hundreds of thousands of…
Added 1 hour ago
FY
Sr/Staff Frontend Engineer
Find Your Talent (FYT)
San Francisco, CA
- $230,000 to $280,000 USD / year
We're looking for a senior frontend engineer to join a high-growth health tech company, where a small, elite team powers a large-scale platform serving hundreds of thousands of patients.…
Added 1 hour ago
FY
Sr/Staff Backend Engineer
Find Your Talent (FYT)
San Francisco, CA
- $230,000 to $330,000 USD / year
We're looking for a senior backend engineer to join a high-growth health tech company, where a small, elite team powers a large-scale platform serving hundreds of thousands of patients.…
Added 1 hour ago
Product Engineer
Needletail
United States
As a Product Engineer at Needletail, you will be at the forefront of developing scalable systems that drive our innovative solutions. You will work on cutting-edge projects, particularly in…
Added 1 hour ago
Principal Core Engineer - Infra / SRE
Edgescale AI
Denver, CO
We’re looking for a Core Engineer at the Principal Infra / SRE level to own the reliability, scalability, upgradeability, and operational excellence of our edge platform at fleet scale.

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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