214 Results for Cloud Engineer Jobs in Usa

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Software Engineer, AI

Los Angeles, CA
remote
Permanent / Full Time
160000 - 170000 USD / Yearly
Software Engineer, AI Company Overview A growing organization is seeking an AI Engineer to develop automation, data, and AI-driven solutions that improve business processes and operational efficiency. This role offers the opportunity to work on innovative projects while helping shape the organization's use of emerging technologies. Role Summary The AI Engineer will design, build, and support AI-powered applications, automation solutions, and data-driven workflows. The ideal candidate combines strong software engineering skills with experience delivering practical AI solutions in a business environment. Key Responsibilities<ul><li>Design, develop, and support AI-enabled applications and automation solutions.</li><li>Partner with business and technical teams to identify opportunities for process improvement.</li><li>Build integrations between AI solutions, data sources, and business applications.</li><li>Monitor solution performance and continuously improve reliability and effectiveness.</li><li>Develop and maintain technical documentation and best practices.</li><li>Support the evaluation and adoption of emerging AI technologies.</li></ul>
2026-10-09T00:00:00Z

Sr. Compute Platform Engineer

Greensboro, OH
onsite
Temporary / Contract
60 - 62 USD / Hourly
We are looking for an experienced Senior Compute Platform Engineer, this Long-term Contract position. This role is 4 days/week onsite with our client in Greensboro, NC. The role combines hands-on engineering with architectural guidance across virtualization, cloud-connected workloads, disaster recovery, and cross-functional infrastructure coordination. The Senior Compute Platform Administrator is accountable for the reliable operation, lifecycle management, security, resilience, and continuous improvement of server, virtualization, virtual desktop, infrastructure, cloud-workload, and disaster-recovery platforms. The role provides hands-on engineering leadership across Windows Server, Red Hat Enterprise Linux, VMware, Nutanix, Cisco UCS, Lenovo/IBM xServers, Nvidia agents/licensing for VDI and applicable Windows workloads and AWS compute workloads. The position owns infrastructure recovery planning and testing, leads complex incident resolution, and provides secondary coverage for storage connectivity and recovery operations. The role operates within global standards, ITSM controls, vulnerability and patch programs, and governance expectations.Own OS, virtualization, compute-platform, VDI-infrastructure, and DR operations, lifecycle, availability, patching, and technical standards Lead incident response, troubleshooting, RCA, vulnerability remediation, and service-restoration activities for assigned platforms.Perform and coordinate hands-on data-center infrastructure work for assigned platforms, including hardware installation and removal, rack/stack, cabling, diagnostics, parts replacement, RMA activity, remote hands, vendor coordination, and technical decommissioning. Plan and execute platform upgrades, capacity reviews, recovery runbooks, DR exercises, and corrective actions.Coordinate compute workload administration, platform integrations, and changes with global, regional, application, network, security/IAM, and data-platform teams. Administer and maintain platform-specific access controls for assigned infrastructure in accordance with client's security and access-management processes.Maintain runbooks, architecture documentation, monitoring requirements, cross-training, and secondary coverage for storage-related recovery
2026-09-22T00:00:00Z

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. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. 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>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</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>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Machine Learning Engineer

Glendale, AZ
onsite
Temporary / Contract
65 - 70 USD / Hourly
Robert Half is working with a client who is looking to hire a Machine Learning Engineer to help operationalize machine learning models as part of a growing enterprise AI program.This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.Responsibilities<ul><li>Develop and deploy machine learning models into production.</li><li>Build reusable ML pipelines for training, testing, deployment, and monitoring.</li><li>Partner with Data Scientists to productionize predictive models.</li><li>Develop APIs and services that expose machine learning capabilities to enterprise applications.</li><li>Monitor model performance, drift, and reliability.</li><li>Build automated testing and deployment processes for ML workloads.</li><li>Optimize model performance and infrastructure utilization.</li><li>Work with Data Engineering teams to establish reliable training and inference datasets.</li></ul>
2026-10-06T00:00:00Z

Automation Engineer

Bethlehem, PA
onsite
Permanent / Full Time
100000 - 110000 USD / Yearly
We are looking for an Automation Engineer to drive complex product development efforts from early planning through full production readiness in Bethlehem, Pennsylvania. This role partners with technical and business teams to keep programs on schedule, control project costs, and align deliverables with quality and compliance expectations. The ideal candidate brings strong automation expertise and a practical approach to coordinating work across multiple stakeholders. Responsibilities: • Lead automation-focused product development projects from initial concept through launch using a structured phase-based methodology. • Coordinate engineering, operations, quality, and business partners to keep deliverables aligned with scope, timing, and performance targets. • Build and maintain project plans, monitor milestones, and address risks early to reduce delays and cost overruns. • Support development and execution of automated solutions using tools such as Selenium and PowerShell where appropriate. • Collaborate with continuous integration processes to improve testing efficiency, deployment readiness, and overall workflow reliability. • Translate technical objectives and business needs into actionable project activities that support successful production introduction. • Ensure new solutions satisfy functional expectations as well as applicable regulatory, technical, and organizational standards. • Contribute to data center and operational automation initiatives that strengthen system consistency, scalability, and supportability.
2026-10-07T00:00:00Z

Automation Engineer

Bethlehem, PA
onsite
Permanent / Full Time
90000 - 95000 USD / Yearly
We are looking for an Automation Engineer to support and advance the technical performance of production and facility systems in Bethlehem, Pennsylvania. This role is responsible for maintaining reliable engineering operations across audio, video, IT-connected infrastructure, and site systems while helping improve overall functionality. The ideal candidate brings strong automation expertise and a hands-on approach to equipment support, system optimization, and live production readiness. Responsibilities: • Manage day-to-day technical operations for production and facility infrastructure, ensuring dependable system performance and uptime. • Supervise engineering activities spanning broadcast or production technology, studio environments, integrated IT systems, and building-related technical assets. • Coordinate the configuration and operation of audio and video systems for live events and recorded productions to deliver high-quality output. • Lead the installation, troubleshooting, repair, and preventive maintenance of sound, video, and related control equipment. • Develop and enhance automation solutions that improve workflows, monitoring, and operational efficiency across technical environments. • Support system integration efforts involving data center operations, scripting, and connected production technologies. • Partner with internal stakeholders to maintain compliance with organizational and technical standards across engineering operations.
2026-10-07T00:00:00Z

Microsoft Infrastructure Engineer/ Architect

Chanhassen, MN
onsite
Temporary / Contract
65 - 85 USD / Hourly
We are seeking an experienced Senior Microsoft Infrastructure Architect to lead the architecture, engineering, security, automation, and lifecycle management of our enterprise Microsoft infrastructure environment. This role is responsible for the continued evolution of Windows Server, Active Directory, Microsoft Entra ID, Exchange, Microsoft 365, and hybrid identity services that support critical business operations. This position combines architecture, engineering, infrastructure strategy and design, and modernization initiatives. The ideal candidate is a hands-on infrastructure architect who can drive strategic improvements while remaining engaged in complex technical challenges, automation efforts, and infrastructure operations. Working closely with infrastructure, security, application, and business teams, this individual will define technical standards, guide platform strategy, and ensure highly available, secure, and scalable Microsoft services across the organization. Key Responsibilities<ul><li>Lead the architecture, design, implementation, and ongoing improvement of enterprise Microsoft infrastructure platforms and services.</li><li>Serve as the senior technical authority for Windows, identity, messaging, and collaboration technologies across hybrid environments.</li><li>Develop and maintain infrastructure standards, architecture roadmaps, lifecycle strategies, and operational best practices that support long-term growth, scalability, security, and reliability.</li><li>Drive modernization initiatives involving Microsoft 365, hybrid identity, automation, cloud adoption, and infrastructure optimization.</li><li>Partner closely with infrastructure, security, networking, application, and business teams to deliver resilient and supportable technology solutions.</li><li>Provide architectural guidance and technical leadership for infrastructure projects, upgrades, migrations, integrations, and platform transformations.</li><li>Act as the highest level of escalation for complex infrastructure incidents, performance issues, and operational challenges, providing root cause analysis and long-term solutions.</li><li>Strengthen infrastructure security through system hardening, access management, patch governance, monitoring, vulnerability remediation, and compliance practices.</li><li>Design and implement automation solutions using PowerShell and related technologies to improve operational efficiency, consistency, and reliability.</li><li>Evaluate emerging technologies and industry best practices, making recommendations that improve infrastructure resiliency, scalability, supportability, and cost effectiveness.</li><li>Develop and maintain architecture documentation, standards, procedures, diagrams, and operational runbooks.</li><li>Mentor engineers and administrators by sharing expertise, reviewing technical approaches, and promoting engineering excellence and operational discipline.</li></ul> Interested candidates should contact sally.lander@roberthalf.(com).
2026-10-09T00:00:00Z

Data Scientist

Farmers Branch, TX
remote
Temporary to Hire
71.25 - 82.5 USD / Hourly
We are looking for a Data Scientist to join a healthcare-focused analytics team in Texas, where you will turn complex data into practical insights and scalable solutions. This contract position with the potential to become permanent is ideal for someone who combines strong statistical knowledge with curiosity, business acumen, and a passion for solving meaningful problems. You will work closely with technical and business partners to design predictive models, improve data quality, and communicate findings that support informed decision-making. Responsibilities: • Transform large, complex datasets into actionable insights by exploring trends, identifying patterns, and uncovering opportunities that support business goals. • Build, test, and refine machine learning models and predictive solutions that improve decision-making and deliver measurable value. • Prepare structured and unstructured data for analysis through cleansing, validation, and preprocessing to ensure reliability and usability. • Strengthen data acquisition practices by recommending improvements that capture the information needed for advanced analytics initiatives. • Partner with business leaders, analysts, and IT teams to define problems, evaluate options, and shape data-driven strategies. • Communicate analytical findings through clear narratives, presentations, and visualizations that make complex results easy to understand. • Create impactful dashboards and visual tools that highlight performance gaps, emerging opportunities, and areas for operational improvement. • Facilitate discussions with stakeholders to gather requirements, iterate on analytical approaches, and align solutions with business needs. • Handle sensitive information with discretion while supporting a culture of continuous improvement, accountability, and evidence-based decision-making.
2026-10-01T00:00:00Z

Data Scientist

Houston, TX
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
We are looking for a Data Scientist to help strengthen turbine reliability and improve operational visibility across a power generation fleet in Houston, Texas. This position combines hands-on data preparation, advanced analytics, and business reporting to turn complex equipment and performance data into practical insights for engineering and leadership teams. The ideal candidate can move comfortably between developing dashboards, analyzing downtime patterns, and creating predictive tools that support maintenance and performance decisions. Responsibilities: • Create and enhance dashboard reporting that highlights fleet financial results, equipment availability, and the primary factors affecting cost and performance. • Convert operational and maintenance data into meaningful metrics and recurring reports for engineering teams, business partners, and leadership stakeholders. • Gather, organize, and refine downtime, outage, and maintenance records from multiple operational sources and field documentation to support reliable analysis. • Evaluate failure and outage events to identify root causes and categorize trends across mechanical, electrical, controls, weather, and grid-related issues. • Build and maintain a dependable historical data set that supports querying, trend analysis, and long-term reliability reviews across the turbine fleet. • Design and implement statistical and machine learning models that anticipate downtime risk, detect component deterioration, and support earlier intervention. • Develop anomaly detection and early alert solutions using sensor and operating data such as vibration, temperature, pressure, and combustion-related measurements. • Partner with reliability, operations, engineering, and asset management teams to validate analytical findings, improve data pipelines, and recommend maintenance strategy adjustments based on observed trends. • Present technical conclusions and business implications clearly to both specialized and non-technical audiences, including management and leadership teams.
2026-10-05T00:00:00Z

Data Scientist

Bala Cynwyd, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools. Responsibilities: • Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting. • Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders. • Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format. • Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows. • Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources. • Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences. • Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices. • Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed. • Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
2026-10-01T00:00:00Z

Back End Engineer

Bryan, TX
remote
Temporary / Contract
55.4135 - 64.163 USD / Hourly
We are looking for a Back End Engineer to join a long-term contract opportunity in Texas. In this role, you will create reliable backend systems and data processing solutions that support analytics and engineering initiatives while helping shape scalable platform architecture. You will work closely with technical and cross-functional partners to turn complex requirements into maintainable services, with a strong focus on cloud deployment, performance, and code quality. Responsibilities: • Create and deliver backend services, APIs, and data workflows that support analytics and broader engineering operations. • Guide technical decisions for backend compute architecture, including the assessment and implementation of Palantir Foundry Compute Modules and container-based cloud platforms such as Fargate. • Develop, package, and support backend applications and microservices using Docker, emphasizing readable, testable, and maintainable code. • Partner with data, product, and engineering stakeholders to convert business and mission needs into efficient technical solutions. • Set up and improve CI/CD processes, automated releases, and monitoring practices across cloud and platform environments. • Produce and maintain technical documentation, system design artifacts, and interface specifications to support development and operations. • Contribute to Agile delivery activities such as sprint planning, daily team syncs, backlog refinement, and solution demonstrations. • Investigate and resolve application issues, integration challenges, and system performance concerns with minimal supervision. • Provide technical guidance to entry-level and mid-level team members and share best practices with project teams as needed.
2026-10-09T00:00:00Z

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

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

West Palm Beach, FL
onsite
Permanent / Full Time
180000 - 220000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency. Responsibilities: • Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies. • Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms. • Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases. • Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts. • Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks. • Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions. • Design AI-driven automation that improves workflows and streamlines day-to-day business operations. • Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph. • Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems. • Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
2026-10-02T00:00:00Z

Artificial Intelligence (AI) Engineer

Brookfield, WI
onsite
Permanent / Full Time
150000 - 175000 USD / Yearly
We are looking for an experienced Artificial Intelligence (AI) Engineer to create practical, scalable AI solutions that help improve business performance and streamline operations in Brookfield, Wisconsin. In this role, you will partner with technical teams and business leaders to turn complex challenges into intelligent applications, machine learning systems, and generative AI capabilities. The ideal candidate brings a strong software engineering foundation along with hands-on experience delivering AI solutions in cloud environments. Responsibilities: • Build and implement AI, machine learning, and generative AI solutions that address business and operational needs. • Develop intelligent applications such as virtual assistants, chatbot experiences, copilots, and automated workflows. • Train, evaluate, and refine machine learning models to improve performance, reliability, and business impact. • Create and support retrieval-augmented generation solutions and related applications for knowledge-driven use cases. • Work closely with stakeholders to uncover opportunities where AI can enhance processes, decision-making, and user experiences. • Connect AI capabilities with enterprise systems and cloud-based platforms to enable practical adoption at scale. • Establish model deployment and support practices, including monitoring, governance, and lifecycle management. • Apply security, compliance, and responsible AI standards throughout solution design, development, and release. • Research new AI tools and technologies and recommend options that align with organizational goals. • Produce clear technical documentation covering solution architecture, workflows, and implementation details.
2026-09-28T00:00:00Z

Artificial Intelligence (AI) Engineer

Lincolnton, NC
remote
Temporary / Contract
71.25 - 82.5 USD / Hourly
AI/LLM Engineer / Solutions Architect - no 3rd parties, no C2C - no must be eligible to work in the U.S. - Remote with 2 weeks onsite to onboard We are looking for an Artificial Intelligence (AI) Engineer to lead practical AI development efforts for a manufacturing organization in Lincolnton, North Carolina. This Long-term Contract position will focus on creating production-ready automation tools and intelligent workflows that improve decision-making, streamline operations, and uncover business insights from enterprise data. The role is best suited for someone who can translate complex operational needs into scalable AI solutions while partnering closely with cross-functional teams such as Finance and Sales. Responsibilities: • Design and deploy AI-powered applications that automate recurring operational activities and improve workflow efficiency across the business. • Build intelligent solutions that analyze enterprise and operational data to identify trends, risks, and opportunities that support growth and performance. • Create tools that provide visibility into customer purchasing behavior, inventory conditions, material planning, and seasonal business patterns. • Develop AI-driven capabilities that help teams investigate operational issues, uncover contributing factors, and support faster resolution. • Integrate AI models and services with existing business platforms, data sources, and external systems through APIs and structured pipelines. • Partner with stakeholders in Finance, Sales, and other functional areas to define use cases, prioritize deliverables, and align solutions with business goals. • Establish practical standards for AI implementation, including solution scope, governance, and responsible deployment practices. • Produce market intelligence solutions that monitor external signals such as public-sector funding activity, bid opportunities, and competitor developments. • Participate in early onsite collaboration to understand the manufacturing environment, team workflows, and operational priorities before broader delivery begins.
2026-09-25T00:00:00Z

Artificial Intelligence (AI) Engineer

Jupiter, FL
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create practical solutions that improve how teams work, analyze information, and make decisions. This position is based in Jupiter, Florida, and focuses on designing intelligent applications, workflow automations, and data-driven tools that support business and financial operations. You will collaborate with stakeholders across the organization to translate open-ended challenges into reliable, scalable products built with modern engineering and cloud technologies. Responsibilities: • Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities. • Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency. • Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights. • Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support. • Automate recurring deliverables across finance, accounting, and operational reporting functions. • Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments. • Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes. • Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation. • Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
2026-09-22T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring for a Principal level Software Engineer to focus on agentic workflows and AI software products. In this role, you will lead full product development efforts while creating intelligent, scalable applications that combine agentic AI capabilities with modern web technologies. The position calls for a hands-on engineer who can build reliable backend systems, contribute to user-facing experiences, and partner across teams to deliver secure, high-performing solutions. Responsibilities:• Lead the full software development lifecycle for AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.• Create and refine agentic AI workflows that support business objectives and integrate effectively with application services.• Build, test, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.• Develop and maintain RESTful or GraphQL interfaces that enable dependable communication between applications and services.• Contribute to front-end development with React, ensuring smooth interaction between user interfaces and backend functionality.• Architect and support microservices-based and distributed systems designed for reliability, flexibility, and growth.• Improve overall system efficiency by tuning application performance, refining database access patterns, and managing cloud resource consumption.• Apply strong security practices by implementing access control, authentication, and authorization measures across applications.• Oversee containerized delivery processes and automated deployment workflows using Docker and CI/CD tools, while diagnosing and resolving production issues in cloud environments.• Work closely with product, design, and DevOps partners to deliver maintainable, well-documented solutions that meet project goals.
2026-09-18T00:00:00Z

Security Forward Deployed Engineer

Cincinnati, OH
onsite
Temporary / Contract
85.5 - 99 USD / Hourly
We are looking for a Security Forward Deployed Engineer to support cybersecurity initiatives for a long-term contract opportunity in Cincinnati, Ohio. This role focuses on strengthening network defenses, improving firewall operations, and delivering hands-on engineering support in complex enterprise environments. The ideal candidate brings strong experience with security technologies and works effectively across teams to maintain secure, reliable infrastructure. Responsibilities: • Design, implement, and support security controls that protect enterprise network environments. • Administer and optimize Check Point and Cisco ASA firewall platforms to maintain strong perimeter security. • Review, update, and enforce firewall rules, access policies, and segmentation standards based on business and security needs. • Troubleshoot security incidents, connectivity issues, and policy conflicts across network security devices. • Partner with infrastructure and operations teams to align cybersecurity solutions with technical and operational requirements. • Maintain accurate configuration records and apply configuration management practices to support consistency and compliance. • Assess existing firewall technologies and recommend improvements that strengthen protection and performance. • Provide engineering support for security-related changes, deployments, and ongoing environment enhancements.
2026-10-08T00:00:00Z

Forward-Deployed Software Engineer

King of Prussia, PA
onsite
Permanent / Full Time
100000 - 140000 USD / Yearly
We are looking for a forward-deployed software engineer to strengthen customer-facing engineering efforts in King of Prussia, Pennsylvania. This role combines software development, operational support, and analytical problem-solving to improve how internal teams and customers interact with core systems. The ideal candidate brings strong backend engineering experience, a practical approach to automation, and the ability to turn technical challenges into reliable, scalable solutions. Responsibilities: • Create and enhance internal applications, scripts, and workflows that improve efficiency for customer-facing and engineering teams. • Oversee the health of live systems, investigate irregular behavior, and address risks before they affect users or business operations. • Examine operational and product data to uncover trends, support decision-making, and recommend meaningful improvements. • Investigate customer-reported technical problems, determine root causes, and deliver timely, effective resolutions. • Develop and release product enhancements driven by customer needs while maintaining quality and system stability. • Partner closely with Customer Success, Sales Engineering, and Engineering to remove obstacles and support high-impact initiatives. • Improve platform reliability and performance through thoughtful debugging, optimization, and ongoing maintenance. • Stay informed on evolving technologies and engineering practices, applying new ideas where they add measurable value.
2026-09-24T00:00:00Z

Agent Platform Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Software Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Software Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development. Key Responsibilities<ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Azure Administrator

Middletown, PA
onsite
Temporary / Contract
66.5 - 77 USD / Hourly
We are looking for an Azure Administrator to support and enhance a secure, stable cloud environment for a Financial Services organization in Middletown, Pennsylvania. This Long-term Contract position focuses on maintaining Azure infrastructure, identity services, networking, and recovery capabilities while promoting strong governance, performance, and cost efficiency. The role partners with technology and security teams to keep hybrid cloud operations reliable, resolve complex issues, and strengthen overall service resilience. Responsibilities: • Oversee day-to-day administration of Azure resources, including virtual machines, storage services, subscriptions, and resource groups to ensure dependable platform operations. • Configure and maintain cloud networking components such as virtual networks, security controls, load balancing, routing, and connections between Azure and on-premises environments. • Support identity and access management through Microsoft Entra ID by managing user access, group structures, role assignments, multifactor authentication, Conditional Access, and privileged access controls. • Enforce governance and security standards by applying policies, resource protections, tagging strategies, and access restrictions across the Azure estate. • Track system health, capacity, security notifications, and performance metrics, then respond to incidents and service interruptions in a timely manner. • Administer backup, restoration, business continuity, and disaster recovery processes, including regular testing to confirm recovery readiness. • Perform platform maintenance activities such as patching, configuration updates, vulnerability remediation, and ongoing support for Azure-based resources. • Automate recurring operational tasks using PowerShell, Azure administration tools, and runbooks, while also maintaining infrastructure through code-based deployment methods. • Investigate and resolve advanced cloud, identity, connectivity, and performance issues, documenting findings, corrective actions, and operational procedures. • Review resource consumption and cloud spend to identify optimization opportunities, improve forecasting, and support cost control efforts.
2026-10-01T00:00:00Z

Lead Data Engineer

Los Angeles, CA
remote
Permanent / Full Time
175000 - 180000 USD / Yearly
Lead Data Engineer Company Overview A media organization is seeking a Lead Data Engineer to support enterprise data, analytics, and emerging technology initiatives. This role offers the opportunity to lead technical projects, mentor engineers, and help shape the organization's data strategy. Role Summary The Lead Data Engineer will be a hands-on technical leader responsible for data engineering, analytics, automation, and AI-related initiatives. This role combines individual contribution, technical direction, team mentorship, and cross-functional collaboration. Key Responsibilities<ul><li>Lead the design, development, and support of enterprise data solutions.</li><li>Provide technical leadership and establish development best practices.</li><li>Oversee data pipelines, integrations, reporting, and automation initiatives.</li><li>Partner with business and technology stakeholders to prioritize work and deliver solutions.</li><li>Monitor data quality, reliability, and operational performance.</li><li>Mentor team members and support their technical development.</li><li>Evaluate emerging technologies and identify opportunities for innovation.</li></ul>
2026-10-09T00:00:00Z

Lead Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
175000 - 185000 USD / Yearly
Robert Half is working with a client in the Atlanta area seeking a Senior Lead Data Engineer.<ul><li>Lead the design, development, and optimization of enterprise data platforms and data warehouse solutions</li><li>Drive the migration and modernization of legacy data environments to Snowflake</li><li>Architect and build scalable ETL/ELT pipelines that support analytics, reporting, and business intelligence initiatives</li><li>Design and maintain high-performance data models, data architectures, and data integration frameworks</li><li>Implement data quality, governance, monitoring, and performance optimization best practices</li><li>Serve as the technical lead for data engineering initiatives and help define the long-term data strategy and roadmap</li><li>Partner closely with business stakeholders, product teams, and technical leadership to translate requirements into scalable solutions</li><li>Utilize Airflow and/or Astronomer to orchestrate and manage complex data workflows</li><li>Develop solutions leveraging Python, SQL, Snowflake, and cloud-based data technologies</li><li>Mentor and guide other engineers while influencing technical direction and engineering standards</li><li>Evaluate and implement modern data engineering tools, frameworks, and best practices</li><li>Support the growth and scalability of the organization's data ecosystem while ensuring reliable, trusted, and accessible data</li></ul>
2026-10-06T00:00:00Z

M365 Engineer

Madison, WI
remote
Temporary / Contract
58 - 66 USD / Hourly
Senior Microsoft 365 / Copilot & Power Platform EngineerWe are seeking a senior Microsoft technology professional to support enterprise Microsoft 365 initiatives, with a strong emphasis on Microsoft Copilot/Copilot Studio and Power Platform. This role combines hands-on solution development and implementation with administration, engineering, governance, optimization and ongoing support.What You’ll Do<ul><li>Design, build and implement solutions across Microsoft 365, Copilot and Power Platform</li><li>Lead or support end-to-end Microsoft Copilot Studio deployments</li><li>Develop and implement generative AI/Copilot solutions that improve business processes and user experiences</li><li>Build Power Platform solutions while also supporting governance, security, environments and enterprise rollout strategies</li><li>Administer and engineer Microsoft 365 environments, including Teams, SharePoint Online, Exchange Online, Microsoft Purview and Viva</li><li>Develop and maintain governance, security, compliance and adoption strategies</li><li>Automate administrative and operational processes using PowerShell and Microsoft Graph API</li><li>Troubleshoot and optimize Microsoft 365 environments and enterprise solutions</li><li>Create Power BI dashboards and reports to support operational and business needs</li><li>Participate in enterprise modernization, migration and continuous improvement initiatives</li></ul>
2026-10-07T00:00:00Z

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