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Ai Application Developer Jobs in Rhode Island (NOW HIRING)

GXO Logistics

Senior DevOps AI Platform Engineer

NC · On-site +1

$130K - $167K/yr

Senior DevOps AI Platform Engineer Are you ready to take your career to the next level with a ... enable AI application delivery across Google Cloud Platform, Kubernetes, Terraform, and CI/CD ...

Citizens Bank

Principal Software Engineer

Johnston, RI · On-site

$135K - $182K/yr

Familiarity with Large Language Models (LLMs) and AI application development concepts. Preferred ... AWS Certified Developer * Equivalent Azure or GCP certifications Technical Skills Programming ...

Citizens

Principal Software Engineer

Johnston, RI · On-site +1

$135K - $182K/yr

Familiarity with Large Language Models (LLMs) and AI application development concepts. Preferred ... AWS Certified Developer * Equivalent Azure or GCP certifications Technical SkillsProgramming ...

Textron

Developer II

Providence, RI · On-site

Support the deployment, release, and operational readiness of applications and AI solutions into production environments using DevOps and software engineering best practices. * Monitor application ...

Husch Blackwell Llp

Software Developer

Providence, RI · On-site +1

The Software Developer designs, develops, and deploys modern, AI-driven solutions that enhance ... Application monitoring with Azure Application Insights * Experience implementing AI-enabled systems ...

Textron

Developer II

Providence, RI · On-site

Support the deployment, release, and operational readiness of applications and AI solutions into production environments using DevOps and software engineering best practices. * Monitor application ...

Husch Blackwell Llp

Software Engineer

Providence, RI · On-site +1

The Software Engineer designs, builds, and maintains the technical systems and application ... AI-assisted user experiences. * Ensure application reliability, security, accessibility, and ...

New

Bcbsri

Senior AI Integration Engineer

Providence, RI · On-site +1

$151K - $243K/yr

... application and/or interview process. At BCBSRI, our greatest resource is our people. We come from ... Lead discussions with data scientists, DevOps, and product teams to translate business requirements ...

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All JobsAi Application Developer JobsAi Application Developer Jobs in Rhode Island

Ai Application Developer information

See Rhode Island salary details

$16

$51

$83

How much do ai application developer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for ai application developer in Rhode Island is $51.55, according to ZipRecruiter salary data. Most workers in this role earn between $41.44 and $59.33 per hour, depending on experience, location, and employer.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What is the salary of an AI developer?

The salary of an AI application developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

How much does an AI app developer make?

The average salary for an AI application developer ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI application developer or AI research director, often offering top-tier compensation due to expertise, experience, and the complexity of projects. These roles may require advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch, along with relevant certifications and a strong professional track record.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

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

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI Application Developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is an AI Application Developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.
What are popular job titles related to Ai Application Developer jobs in Rhode Island? For Ai Application Developer jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Ai Application Developer jobs in Rhode Island look for? The top searched job categories for Ai Application Developer jobs in Rhode Island are:
What cities in Rhode Island are hiring for Ai Application Developer jobs? Cities in Rhode Island with the most Ai Application Developer job openings:
Ai Application Developer jobs near you
Infographic showing various Ai Application Developer job openings in Rhode Island as of July 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 69% In-person, 5% Hybrid, and 26% Remote job distribution, with an average salary of $107,225 per year, or $51.6 per hour.
Senior DevOps AI Platform Engineer

Senior DevOps AI Platform Engineer

GXO Logistics

NC • On-site, Remote

$130K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

GXO Logistics rating

7.1

Company rating: 7.1 out of 10

Based on 237 frontline employees who took The Breakroom Quiz

199th of 358 rated logistics

Job description

Continue to Grow with GXO.
At GXO, we know our greatest asset is people like you - energetic, innovative people of all experience levels and talents who make GXO a great place to work. Your career matters to us because your passion and excitement will help keep our company moving forward.
Senior DevOps AI Platform Engineer
Are you ready to take your career to the next level with a rapidly growing global company? As a Senior DevOps Platform Engineer, you will establish and scale the enterprise DevOps operating model for GXO's Agentic AI Platform. This role is responsible for building secure, automated, and scalable cloud platform capabilities that enable AI application delivery across Google Cloud Platform, Kubernetes, Terraform, and CI/CD ecosystems. You'll partner closely with Cloud Engineering, Platform Architecture, Security, and Product teams to drive developer productivity, platform reliability, and operational excellence. If you're looking for an opportunity to make a significant impact on enterprise AI infrastructure, join us at GXO.
Pay, benefits and more
We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan.
What you'll do on a typical day
  • Establish the enterprise DevOps operating model for GXO's Agentic AI Platform, including CI/CD standards, branching strategies, release governance, environment promotion, deployment approvals, and operational handoff practices.
  • Design, build, and manage secure, repeatable CI/CD pipelines supporting AI platform infrastructure, platform services, agents, MCP servers, LiteLLM, Agent Gateway integrations, model-serving components, and supporting services.
  • Engineer, deploy, and operate Kubernetes-based platform capabilities on Google Kubernetes Engine (GKE), including deployment standards, Helm or Kustomize, autoscaling, network policies, workload identity, secrets management, ingress/egress, observability, and production runbooks.
  • Own Terraform infrastructure delivery by developing reusable modules, managing state, enforcing pull request controls, implementing policy guardrails, maintaining environment parity, detecting configuration drift, and promoting infrastructure across development, test, staging, and production environments.
  • Partner with the Principal Cloud Engineer to implement Google Cloud Platform foundations while leading day-to-day DevOps enablement, release engineering, Kubernetes operations, pipeline reliability, and developer experience.
  • Collaborate with the Principal Cloud AI Platform Architect to translate enterprise architecture standards, reference architectures, and architectural decision records (ADRs) into automated build, test, deployment, and operational processes.
  • Enable Phase 2 platform capabilities, including GKE-based open-source model serving, vLLM or comparable inference runtimes, scalable deployment patterns, model tiering infrastructure, and cost-governed platform operations.
  • Implement enterprise DevSecOps controls in partnership with Information Security, including vulnerability scanning, dependency scanning, container image hardening, Binary Authorization (or equivalent), secrets management, audit logging, and secure deployment gates.
  • Create standardized "paved road" developer workflows that enable engineers to provision environments, deploy AI agents, publish MCP services, test integrations, and promote code changes through approved automation.
  • Champion AI-assisted software engineering practices by enabling secure AI coding tools, automated testing, documentation generation, code review acceleration, pipeline diagnostics, and developer productivity improvements.
  • Build comprehensive observability across the platform through logs, metrics, traces, dashboards, alerts, SLOs, SLIs, deployment health monitoring, traceability, cost attribution, and operational readiness reporting.
  • Automate operational processes to reduce manual effort, improve incident response readiness, and maintain runbooks for releases, rollbacks, break-glass procedures, platform operations, and escalation processes.
  • Support secure integration between the AI platform and Snowflake-governed data access patterns through automated deployment, configuration, policy enforcement, and runtime observability.
  • Develop and maintain engineering documentation, including CI/CD standards, Terraform module guidance, Kubernetes operating procedures, release checklists, onboarding documentation, and operational runbooks.

What you need to succeed at GXO
At a minimum, you'll need
  • Bachelor's degree in computer science, Engineering, Information Technology, Cloud Computing, or a related technical field; equivalent hands-on experience may be considered.
  • Google Cloud Professional DevOps Engineer certification required.
  • Minimum of 8 years of platform engineering, DevOps, Site Reliability Engineering (SRE), infrastructure engineering, cloud engineering, or software delivery engineering experience.
  • Minimum of 5 years of hands-on Google Cloud Platform experience supporting production environments.
  • Deep expertise with Google Kubernetes Engine (GKE), including Kubernetes operations, workload identity, networking, autoscaling, ingress/egress, Helm or Kustomize, and production troubleshooting.
  • Expert-level experience developing and managing Terraform infrastructure, including reusable modules, state management, CI/CD integration, policy-as-code, infrastructure promotion, and drift management.
  • Strong experience designing and maintaining secure CI/CD pipelines using Cloud Build, GitHub Actions, GitLab CI, Azure DevOps, Jenkins, or similar platforms.
  • Experience implementing GitOps and DevSecOps practices, including code review automation, dependency scanning, container security, secrets management, signed artifacts, deployment approvals, and security guardrails.
  • Experience supporting cloud-native AI, machine learning, analytics, developer platform, or data platform workloads on Kubernetes and Google Cloud.
  • Ability to collaborate effectively with principal architects, cloud engineers, Information Security, product teams, and software developers to translate architectural vision into production-ready solutions.
  • Strong operational mindset with experience supporting incident response, root cause analysis, observability, production support, SLOs/SLIs, release readiness, and continuous operational improvement.
  • Excellent technical communication skills with the ability to develop engineering documentation, operating procedures, automation standards, and developer guidance.
  • Ability to influence engineering teams across a global matrix organization while driving adoption of modern DevOps and platform engineering practices.

It'd be great if you also have
  • HashiCorp Terraform Associate certification.
  • Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) certification.
  • Google Cloud Professional Cloud Architect, Cloud Security Engineer, or Machine Learning Engineer certifications.
  • Experience with AI platform technologies including LiteLLM, Agent Gateway, MCP servers, Vertex AI, Gemini, model routing, vLLM, or open-source model serving frameworks.
  • Experience enabling AI-assisted software development through secure coding assistants, automated testing, documentation generation, and developer productivity tooling.
  • Strong understanding of secure enterprise AI platform operations, cloud-native architecture, and scalable infrastructure automation.
  • Experience driving platform standardization, operational excellence, and developer enablement across large engineering organizations.
  • Self-starter with the ability to quickly establish credibility, operate independently, and make an immediate impact on the reliability, security, scalability, and velocity of enterprise AI platforms.

We engineer faster, smarter, leaner supply chains.
GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.
We are proud to be an Equal Opportunity employer including Disabled/Veterans.
GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

What GXO Logistics employees say

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About GXO Logistics

Sourced by ZipRecruiter

GXO Logistics, located in Greenwich, CT, US, is a global leader in the logistics industry. Specializing in innovative supply chain management, it operates across various sectors including e-commerce, food and beverage, technology, and retail. The company has cemented a notable reputation for providing top-notch outsourcing solutions that equip businesses to respond to market changes quickly and efficiently. Originally part of XPO Logistics, GXO, officially separated and spun off as a unique corporation in 2021, taking with it decades of expertise and a robust client roster. Their mission is to propel businesses forward with cutting-edge logistics and transportation solutions while adhering to their core values of safety always, customer-centric, and inclusive.

Industry

Transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US

Year founded

2021

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