297 Results for Software Engineer Jobs in Usa

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AI Engineer

Memphis, TN
onsite
Permanent / Full Time
120000 - 130000 USD / Yearly
AI Development & Engineering<ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul>Automation & Systems Integration<ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul>AI Infrastructure & Deployment<ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul>Business Collaboration<ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li></ul>
2026-11-03T00:00:00Z

AI Engineer

Little Rock, AR
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
AI Development & Engineering<ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul>Automation & Systems Integration<ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul>AI Infrastructure & Deployment<ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul>Business Collaboration<ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li><li> </li></ul>
2026-11-03T00:00:00Z

AI Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced AI Engineer to join a growing technology team focused on building intelligent, scalable, and cloud-native applications. This role is ideal for a hands-on engineer who combines strong .NET full-stack development experience with expertise in Microsoft Azure and modern AI technologies, including Large Language Models (LLMs), Generative AI, and AI-powered automation solutions.You will play a key role in designing, developing, and deploying next-generation applications that leverage artificial intelligence to improve business operations, customer experiences, and decision-making.Responsibilities<ul><li>Design, develop, and deploy AI-powered applications using Azure services and modern AI frameworks.</li><li>Build and integrate Generative AI solutions utilizing Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and conversational AI technologies.</li><li>Develop scalable backend services utilizing C#, .NET Core, APIs, and microservices architectures.</li><li>Build modern front-end applications using technologies such as React, Angular, or Blazor.</li><li>Develop AI agents, copilots, chatbots, and workflow automation solutions.</li><li>Integrate Azure AI services including:</li><li>Azure OpenAI</li><li>Azure Cognitive Services</li><li>Azure AI Search</li><li>Azure Machine Learning</li><li>Design and optimize data pipelines supporting AI and analytics initiatives.</li><li>Collaborate with product, business, and engineering teams to identify AI use cases and technical solutions.</li><li>Implement best practices around security, scalability, monitoring, and performance optimization.</li><li>Participate in architecture discussions, code reviews, and technical leadership activities.</li></ul>
2026-11-05T00:00:00Z

AI Engineer

La Jolla, CA
onsite
Permanent / Full Time
150000 - 200000 USD / Yearly
We are looking for an AI Engineer to create practical, employee-facing applications that improve how internal teams find information, complete work, and make decisions. This role partners closely with business stakeholders to uncover operational challenges, shape effective solutions, and deliver reliable tools from concept through production support. The ideal candidate brings strong engineering depth, sound product judgment, and hands-on experience building applied AI systems that drive measurable efficiency and adoption. Responsibilities: • Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations. • Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices. • Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources. • Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed. • Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components. • Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements. • Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios. • Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise. • Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption. • Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.
2026-10-18T00:00:00Z

Sr. Java Developer

Des Moines, IA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a senior Java developer to support enterprise banking applications in Des Moines, Iowa. This Long-term Contract position calls for a hands-on engineer who can build scalable backend services, contribute to modern API development, and collaborate on user-facing features with Angular and JavaScript. The ideal candidate brings deep experience across Java-based systems, microservices, and database work, along with the ability to deliver reliable solutions in a regulated environment. Responsibilities: • Design, develop, and maintain Java-based applications that support critical banking operations. • Build and enhance RESTful services and microservices to improve system scalability, performance, and integration. • Develop backend components using Java, Spring, Spring Boot, and Maven while following sound engineering practices. • Partner with front-end developers to deliver responsive features using JavaScript and Angular. • Write, optimize, and troubleshoot SQL queries to support application functionality and data accuracy. • Collaborate with cross-functional teams to define technical solutions, review code, and resolve production issues. • Use GitHub and standard version control practices to manage source code and support team-based development. • Contribute to technical design discussions and help implement secure, dependable software solutions for banking platforms.
2026-11-05T00:00:00Z

Mobile Developer

Jacksonville, FL
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an experienced Mobile Developer to create and support Android-based payment applications in Jacksonville, Florida. This position focuses on building dependable, secure mobile solutions that connect with payment devices and related hardware while delivering a strong user experience. The role works closely with cross-functional teams to develop production-ready software, resolve technical issues, and contribute to ongoing product improvement. Responsibilities: • Build, enhance, and maintain Android payment applications from initial development through testing, deployment, and ongoing support. • Develop application functionality using Java and Kotlin within the Android ecosystem, incorporating specialized payment software libraries as needed. • Connect mobile applications with payment-related hardware such as card readers, input devices, printers, scanners, and other supported peripherals. • Partner with product, quality assurance, design, and engineering teams to deliver well-designed features and reliable releases. • Investigate software issues, identify root causes, and implement effective fixes to improve stability and performance. • Prepare and update technical documentation to support development, troubleshooting, and long-term maintenance. • Apply best practices to ensure applications meet expectations for security, scalability, reliability, and maintainability. • Contribute to timely delivery of high-quality software by supporting continuous improvement in performance and user experience.
2026-10-21T00:00:00Z

Mobile Developer

Atlanta, GA
onsite
Temporary / Contract
65 - 75 USD / Hourly
For our client, we are seeking an experienced Mobile Developer to design, develop, test, and maintain high-performance mobile applications for iOS and/or Android platforms. This individual will collaborate with product managers, UI/UX designers, backend engineers, and QA teams to deliver secure, scalable, and user-friendly mobile applications.
2026-10-23T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>
2026-10-30T00:00:00Z

Integration Engineer

Bethesda, MD
onsite
Temporary / Contract
80 - 124 USD / Hourly
Integration EngineerLocation: Bethesda, MD (Hybrid)OverviewSeeking an experienced Integration Engineer to design, build, deploy, and support enterprise integrations, APIs, connectors, workflows, and MCP servers/tools. This hands-on role owns integrations throughout their lifecycle and helps shape architecture, integration standards, and engineering best practices.Works within Integration Engineering alongside Application Engineering and Quality Engineering, supporting Azure Integration Services (AIS), Celigo, and other integration platforms.Key Responsibilities<ul><li>Design, build, support, and troubleshoot integrations using Logic Apps, Azure Functions, Service Bus, Event Grid, and Celigo.</li><li>Develop APIs, webhooks, connectors, adapters, data mappings, transformations, validation, synchronization, and integration workflows.</li><li>Build and support MCP servers and AI integrations, including schemas, tool definitions, security controls, permissions, auditing, and protocol compatibility.</li><li>Develop solutions using C#/.NET, Python, JavaScript/TypeScript.</li><li>Define API standards including OpenAPI, versioning, authentication, authorization, pagination, rate limiting, and error handling.</li><li>Partner with architecture leadership to improve scalability, reliability, maintainability, security, performance, and cost optimization.</li><li>Create reusable frameworks, templates, connectors, standards, and integration patterns.</li><li>Implement security controls including least-privilege access, encryption, managed identities, credential management, and secure data handling.</li><li>Build monitoring, alerting, logging, retries, reconciliation, recovery, and production support processes.</li><li>Support automated testing, CI/CD, release management, source control, and infrastructure as code.</li><li>Collaborate with application, data, AI, business, and vendor teams while maintaining integration documentation and ownership.</li></ul>Preferred Qualifications<ul><li>Azure API Management, Key Vault, Application Insights, Log Analytics, deployment automation, and private connectivity.</li><li>Integrations involving ERP, CRM, SaaS, financial, and legacy systems (NetSuite, DealCloud, Appian, etc.).</li><li>Experience modernizing point-to-point integrations and building reusable frameworks.</li><li>Financial services or regulated industry experience.</li><li>Azure and/or Celigo certifications.</li></ul>Success Metrics<ul><li>Reliable integrations with accurate data and strong production performance.</li><li>Reusable APIs, connectors, event flows, and MCP tools.</li><li>Improved platform architecture driven by implementation feedback.</li><li>Fast issue detection, controlled recovery, and continuous improvement.</li><li>Documented, versioned, and well-supported integrations across AIS, Celigo, and other platforms.</li></ul>
2026-11-03T00:00:00Z

IAM Engineer

San Antonio, TX
onsite
Permanent / Full Time
80000 - 116000 USD / Yearly
We are looking for an IAM Engineer to strengthen identity governance capabilities for a growing enterprise environment in San Antonio, Texas. This role focuses on enhancing access management processes, improving platform reliability, and supporting secure integration across critical business systems. The ideal candidate will bring hands-on experience with identity administration tools, strong troubleshooting ability, and a practical understanding of compliance-driven access controls. Responsibilities: • Manage and enhance the Saviynt identity governance platform to support joiner, mover, and leaver processes, automated provisioning, and access oversight. • Configure connections between Saviynt and enterprise technologies such as Microsoft Entra ID, Active Directory, HR platforms, databases, cloud services, and other integrated applications using APIs and connectors. • Create and maintain workflows, rules, reports, and validation processes that increase automation, improve data quality, and strengthen governance outcomes. • Monitor system health, review performance trends, and resolve complex technical issues to improve availability, scalability, and operational efficiency. • Partner with cybersecurity teams, application owners, auditors, and business stakeholders to design and refine identity controls and governance solutions. • Support identity modernization efforts through application onboarding, migration-related activities, certification campaigns, and governance improvements. • Produce and maintain operational documentation including support records, runbooks, troubleshooting guides, and technical procedures. • Develop dashboards and reporting capabilities to track provisioning performance, certification progress, platform usage, and compliance metrics. • Contribute to backup, recovery, and disaster recovery planning by assisting with testing processes and infrastructure resilience activities.
2026-11-04T00:00:00Z

Infrastructure Engineer

Radnor, PA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Infrastructure Engineer to support and strengthen enterprise infrastructure operations across on-premises and cloud environments. This contract opportunity is ideal for a hands-on individual who can help maintain reliable data center services, improve Microsoft 365 and Azure platforms, and contribute to secure, scalable technology solutions. The role partners with internal teams and external providers to deliver practical infrastructure improvements, support end users, and drive consistent operational standards. Responsibilities: • Deliver technical support for employees using Windows, macOS, iOS, and Android devices, ensuring timely resolution of hardware, software, and access issues. • Oversee the health and performance of data center systems across physical, virtual, and hosted environments, and work with service partners to implement improvements. • Execute infrastructure updates and platform changes across servers, operating systems, virtualization layers, and storage systems using controlled deployment practices. • Administer and enhance Microsoft 365 and Azure services with a focus on usability, security, service consistency, and cost awareness. • Configure and support identity and access solutions, including Active Directory and Azure Active Directory integrations with cloud applications and SaaS platforms. • Participate in disaster recovery planning and carry out recovery procedures to validate readiness and alignment with business expectations. • Introduce tools and processes that simplify end-user support, while guiding teams through adoption of new infrastructure services and capabilities. • Create and maintain technical standards, system documentation, and operational procedures to support repeatable service delivery. • Lead or contribute to small and mid-sized infrastructure initiatives across multiple sites, coordinating tasks, timelines, and technical execution.
2026-10-27T00:00:00Z

Cloud Engineer

Jacksonville, FL
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a Cloud Engineer to join a service organization in Jacksonville, Florida in a contract capacity with the potential to become permanent. This role is suited for a hands-on, detail-oriented individual who can strengthen and support enterprise cloud infrastructure while improving reliability, automation, and operational efficiency. The position will work across Microsoft-based environments and Azure services, partnering with technical teams to deliver stable, secure, and scalable solutions. Responsibilities: • Design, implement, and maintain cloud and hybrid infrastructure solutions across enterprise Microsoft and Azure environments. • Administer production Azure resources and help optimize performance, availability, and cost across hosted services. • Build and enhance automated infrastructure deployment processes using Infrastructure as Code tools such as Terraform. • Support container-based platforms, including Docker and Azure Kubernetes Service, to improve application delivery and platform scalability. • Collaborate with engineering and operations teams to define technical standards, strengthen system reliability, and promote cloud best practices. • Lead infrastructure initiatives from planning through execution, ensuring timelines, quality expectations, and business needs are met. • Troubleshoot complex platform, server, and network-related issues, including active participation during service incidents and outage response calls. • Develop and maintain scripts and deployment workflows using tools such as PowerShell, Python, or Bash to streamline administration and repeatable tasks. • Contribute to secure cloud operations by applying sound controls for access, compliance, data protection, and environment governance. • Deliver responsive internal support by listening carefully, communicating clearly, recommending practical solutions, and confirming follow-up actions are completed.
2026-10-26T00:00:00Z

Cloud Engineer

Morristown, NJ
remote
Permanent / Full Time
140000 - 161000 USD / Yearly
We are looking for a Cloud Engineer to help build and support resilient cloud infrastructure in Morristown, New Jersey. In this role, you will create automation-first solutions using Terraform and Infrastructure as Code practices to improve scalability, consistency, and security. You will partner with development, DevOps, security, and infrastructure teams to deliver reliable cloud platforms and streamline deployment processes. Responsibilities: • Architect, implement, and maintain cloud environments across major platforms such as AWS, Azure, or Google Cloud. • Create and refine reusable Terraform modules and infrastructure code standards to enable consistent provisioning at scale. • Automate infrastructure deployment, system configuration, and operational workflows to reduce manual effort and improve reliability. • Develop and support cloud networking, identity, security, and observability capabilities for enterprise applications. • Work with cross-functional engineering teams to advance CI/CD pipelines and strengthen cloud automation practices. • Investigate and resolve issues affecting infrastructure, cloud services, and application performance. • Apply security controls, governance policies, and compliance measures throughout the cloud environment. • Track platform health, availability, and resource usage to support performance optimization and capacity planning. • Support container-based platforms using technologies such as Kubernetes and Docker. • Produce clear technical documentation, architecture visuals, and operational procedures while contributing to cloud modernization initiatives.
2026-10-26T00:00:00Z

Cloud Engineer

Atlanta, GA
onsite
Temporary / Contract
60 - 65 USD / Hourly
For our client, we are seeking an experienced Cloud Engineer to design, implement, manage, and optimize cloud infrastructure and services. This individual will support cloud migrations, infrastructure automation, system reliability, and security initiatives while ensuring high availability and performance across enterprise cloud environments.
2026-10-23T00:00:00Z

Cloud Engineer

Memphis, TN
onsite
Temporary / Contract
70 - 85 USD / Hourly
Job Summary We are seeking a skilled Cloud Engineer to design, implement, manage, and optimize cloud-based infrastructure and services across enterprise environments. The ideal candidate will have experience with cloud platforms, infrastructure automation, security, monitoring, and DevOps practices. This role will be responsible for supporting cloud migration initiatives, ensuring platform reliability, and driving operational excellence through automation and best practices. Key Responsibilities Design, deploy, and maintain cloud infrastructure in Azure, AWS, and/or Google Cloud Platform (GCP). Build and manage highly available, scalable, secure, and cost-effective cloud environments. Implement Infrastructure as Code (IaC) solutions using tools such as Terraform, ARM Templates, Bicep, or CloudFormation. Automate deployment, provisioning, and configuration management processes. Monitor system performance, availability, and security using cloud-native and third-party monitoring tools. Support application deployment and CI/CD pipelines in collaboration with development teams. Manage cloud networking, identity management, access controls, and security policies. Implement backup, disaster recovery, and business continuity solutions. Troubleshoot and resolve cloud infrastructure and application issues. Optimize cloud resource utilization and cost management. Participate in cloud migration, modernization, and transformation projects. Ensure compliance with organizational security, governance, and regulatory requirements. Document cloud architectures, operational procedures, and technical standards.
2026-11-06T00:00:00Z

Cloud Engineer

York, PA
remote
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a Cloud Engineer to build and support secure, scalable cloud environments for a contract opportunity with potential for a permanent role. This role focuses on infrastructure automation, cloud security, and compliance-driven engineering across modern cloud platforms, with an emphasis on creating reliable deployment standards and well-governed environments. The ideal candidate brings hands-on experience with Terraform, strong knowledge of AWS services, and the ability to partner with technical and compliance teams to deliver resilient solutions. Responsibilities: • Design, deploy, and administer cloud infrastructure that supports performance, scalability, and strong security controls across production and non-production environments. • Create and refine Infrastructure as Code using Terraform, developing reusable modules and standardized patterns that improve consistency and speed of delivery. • Embed compliance and security requirements into cloud architectures by applying controls for access management, encryption, logging, and governance. • Work with security and audit stakeholders to prepare compliance evidence, address findings, and support remediation activities tied to regulatory frameworks. • Configure and maintain monitoring, alerting, and threat-detection capabilities using services such as CloudWatch, GuardDuty, and Security Hub. • Evaluate cloud environments for efficiency, reliability, and cost effectiveness, then recommend and implement improvements where needed. • Partner with DevOps, application, and security teams to strengthen CI/CD processes and incorporate secure engineering practices into deployment workflows. • Produce clear technical documentation covering architecture decisions, Terraform assets, operational procedures, and compliance-related processes. • Provide guidance to internal teams on cloud best practices, infrastructure automation, and secure configuration standards across AWS and related platforms.
2026-11-04T00:00:00Z

Cloud Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced Azure Cloud Engineer to design, implement, manage, and optimize cloud infrastructure within Microsoft Azure environments. This role will focus on supporting cloud operations, infrastructure deployments, automation, security, and performance optimization across enterprise systems. The ideal candidate has strong hands-on experience with Azure infrastructure and services, cloud networking, and infrastructure automation, along with the ability to troubleshoot complex cloud environments and implement scalable, secure solutions.
2026-10-22T00:00:00Z

Senior Systems Engineer

Avondale, AZ
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced Senior Systems Engineer to lead the design, administration, optimization, and support of a complex enterprise infrastructure environment. This role is responsible for ensuring the performance, security, scalability, and reliability of critical systems spanning on-premises, hybrid, and cloud-based technologies.The ideal candidate will bring deep expertise across server infrastructure, virtualization, cloud platforms, storage solutions, identity management, and enterprise collaboration technologies. This individual will serve as a technical leader, driving infrastructure modernization initiatives while maintaining highly available and secure systems that support business operations. What You'll DoInfrastructure Strategy & Architecture<ul><li>Partner with IT leadership and business stakeholders to assess current and future infrastructure needs.</li><li>Develop and maintain infrastructure roadmaps supporting growth, security, resiliency, and operational efficiency.</li><li>Create and maintain technical documentation, system architecture diagrams, procedures, asset inventories, and operational standards.</li><li>Contribute to disaster recovery, business continuity, and infrastructure governance initiatives.</li><li>Provide technical leadership, mentoring, and guidance to junior team members and cross-functional IT teams.</li></ul>Systems Engineering & Deployment<ul><li>Design, implement, and maintain enterprise server, storage, virtualization, and cloud environments.</li><li>Lead infrastructure upgrades, migrations, consolidations, and modernization projects.</li><li>Evaluate and recommend emerging technologies, platforms, and cybersecurity best practices.</li><li>Collaborate with technology vendors and service providers to implement and support infrastructure solutions.</li><li>Identify opportunities for automation, performance improvement, and operational efficiency.</li></ul>Enterprise Systems Administration<ul><li>Administer and support Windows Server and Linux environments.</li><li>Manage VMware vSphere, VMware Cloud Foundation, and enterprise storage platforms.</li><li>Support Microsoft Azure and Microsoft 365 services, including Exchange Online, Teams, and SharePoint.</li><li>Administer Active Directory, Microsoft Entra ID, Group Policy, DNS, DHCP, and certificate services.</li><li>Monitor system performance, availability, capacity, and overall infrastructure health.</li><li>Develop and maintain automation using PowerShell and other scripting tools.</li></ul>Security, Backup & Disaster Recovery<ul><li>Manage patching, system updates, and vulnerability remediation activities.</li><li>Implement and maintain infrastructure security controls, identity management, and access governance.</li><li>Support security audits, compliance initiatives, and cybersecurity best practices.</li><li>Administer backup and recovery platforms and validate disaster recovery procedures through regular testing.</li><li>Ensure business-critical systems meet availability, security, and recovery objectives.</li></ul>Operational Support<ul><li>Troubleshoot and resolve complex infrastructure, virtualization, storage, and cloud-related issues.</li><li>Maintain operational documentation and change management records.</li><li>Participate in an on-call rotation providing after-hours support for critical systems and services.</li></ul>
2026-11-03T00:00:00Z

Linux/Unix Systems Engineer

Washington D.c., DC
onsite
Temporary / Contract
52 - 57 USD / Hourly
We are looking for a Linux/Unix Systems Engineer to serve as the technical authority for a large enterprise Linux environment. This role will lead the design, engineering, modernization, security, and operational support of Red Hat Enterprise Linux (RHEL) and Oracle Linux platforms. Key Responsibilities:· Design and maintain enterprise Linux infrastructure including RHEL and Oracle Linux environments.· Develop and manage automation and configuration management solutions using Ansible, Ansible Automation Platform, and Red Hat Satellite.· Lead operating system lifecycle management, upgrades, and migration initiatives across RHEL platforms.· Establish and maintain security hardening standards aligned with CIS Benchmarks, DISA STIGs, FISMA, and NIST 800-53 requirements.· Design and test high availability, backup, disaster recovery, and capacity planning solutions.· Act as the senior escalation point for complex Linux platform incidents and critical outages.· Lead root cause analysis efforts and drive remediation strategies.· Mentor junior administrators and provide technical guidance across the team.· Participate in architecture reviews, change control boards, and technical planning sessions.· Develop and maintain engineering documentation, SOPs, and design standards.· Install, configure, monitor, and maintain Linux-based servers and systems.· Manage system performance, patching, vulnerability remediation, and compliance activities.· Troubleshoot hardware, software, networking, and infrastructure issues.· Support scheduled maintenance activities, upgrades, and after-hours incident response as needed.
2026-10-22T00:00:00Z

Artificial Intelligence (AI) System Engineer

Albuquerque, NM
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions. Responsibilities:• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.Other duties as needed
2026-11-02T00:00:00Z

Systems Engineer - OEM Products

Lavergne, TN
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
Our client is seeking a highly skilled Systems Engineer to bring formal systems engineering expertise and best practices into a growing product development organization.The ideal candidate is a true systems engineering professional with a strong foundation in requirements development, decomposition, verification, validation, and requirements traceability. The client is looking for someone who understands how to translate customer and business needs into structured system requirements and ensures those requirements flow through every level of product development. In this role, you'll serve as the owner and champion of systems engineering processes, working across cross-functional teams and global OEM partners to ensure products are engineered with rigor, consistency, and clear technical requirements from concept through launch. What You'll Do:<ul><li>Lead system-level requirements development for new product initiatives </li><li>Translate high-level market and business needs into detailed technical specifications and subsystem requirements </li><li>Define and manage requirements across multiple product tiers, including entry-level, mid-range, and premium products </li><li>Establish and maintain requirements traceability throughout the product lifecycle </li><li>Review product architectures, designs, verification plans, and validation results to ensure alignment with requirements </li><li>Partner with mechanical, electrical, firmware, software, quality, and manufacturing teams to ensure system-level integration </li><li>Act as the internal subject matter expert on systems engineering methodology and best practices </li><li>Drive a disciplined approach to requirements management, change control, verification, and validation </li><li>Collaborate with OEM partners to ensure technical requirements are clearly defined, understood, and executed</li></ul>
2026-11-06T00:00:00Z

Artificial Intelligence (AI) Engineer

Monroe, NY
onsite
Permanent / Full Time
150000 - 225000 USD / Yearly
We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools. Key Responsibilities: <ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul>
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Jacksonville, FL
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale advanced generative AI solutions for a highly regulated financial services setting in Jacksonville, Florida. This position is ideal for a hands-on engineer who can turn concepts into dependable production applications while balancing speed, quality, and security. You will work across AI architecture, application development, and cloud deployment to deliver intelligent capabilities that support enterprise business goals. Responsibilities: • Design and implement generative AI applications and agent-based workflows that solve complex business challenges in a financial services environment. • Build end-to-end AI capabilities, including solution design, development, testing, deployment, and ongoing performance monitoring. • Connect large language models to enterprise products and operational processes to deliver practical, production-ready functionality. • Develop and maintain data preparation workflows such as document chunking, embedding generation, indexing, and vector search optimization. • Configure and manage cloud infrastructure using Terraform to support scalable, resilient, and secure AI services. • Engineer robust backend components and enterprise applications using C# and the Microsoft technology stack. • Collaborate with technical and business stakeholders to define requirements, prioritize deliverables, and drive high-quality execution. • Ensure AI systems meet expectations for reliability, governance, data protection, and compliance within a regulated industry. • Continuously refine models, pipelines, and application performance to improve accuracy, efficiency, and operational stability.
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building intelligent, production-ready applications that combine modern software engineering with advanced agent-based AI capabilities. The ideal candidate will lead solutions from early design through deployment, creating scalable services, responsive user experiences, and reliable AI-driven workflows that support business objectives. Responsibilities:• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.
2026-10-30T00:00:00Z

Artificial Intelligence (AI) Engineer

Cincinnati, OH
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to join a long-term contract opportunity based in Cincinnati, Ohio. In this role, you will create and operationalize AI and machine learning solutions with a strong focus on generative AI, helping translate business needs into secure, scalable applications. You will collaborate across technical and business teams to deliver production-ready models, strengthen AI adoption, and support measurable outcomes through thoughtful engineering and evaluation. Responsibilities: • Create, train, and deploy scalable AI and machine learning solutions, including generative AI applications such as large language models, retrieval-augmented systems, and prompt-driven workflows. • Build and maintain data pipelines, feature preparation processes, and model training and evaluation jobs using Python and established machine learning frameworks. • Deliver models into production as APIs or batch processes, and improve inference performance with attention to speed, reliability, and cost efficiency. • Assess emerging generative AI tools and model architectures, including embeddings, vector search, and diffusion-based approaches, to support defined business use cases. • Develop prompt strategies, orchestration flows, safety controls, and evaluation methods, using structured testing to improve response quality and reduce risk. • Apply MLOps and LLMOps practices such as experiment tracking, version control, deployment automation, monitoring, alerting, and drift detection. • Integrate AI services with enterprise data platforms and business systems, including APIs, event-driven architectures, data warehouses, and reporting environments. • Partner with product, analytics, IT, and data architecture teams to clarify requirements, document technical decisions, and deliver solutions that meet agreed objectives. • Promote responsible AI practices by incorporating privacy, security, fairness, and content safety considerations into model behavior, testing, and deployment. • Track performance indicators for AI initiatives, share insights on effectiveness and adoption, and stay current with advances in generative AI and broader machine learning methods.
2026-11-05T00:00:00Z

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