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.<br><br>Responsibilities:<br>• Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities.<br>• Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency.<br>• Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights.<br>• Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support.<br>• Automate recurring deliverables across finance, accounting, and operational reporting functions.<br>• Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments.<br>• Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes.<br>• Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation.<br>• Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
<p>We are looking for a Sr. Embedded Software Engineer to help build advanced flight software in Orlando, Florida. In this role, you will create and refine embedded solutions that support imaging payloads, onboard intelligence, and radio communications for space-based systems. You will work closely with cross-functional engineering teams to bring hardware and software together, validate performance, and support mission readiness from development through operations.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and improve embedded software for CubeSat subsystems, including imaging, onboard processing, and communications components.</p><p>• Develop reliable applications and low-level code using C, C++, and Python to support flight and test objectives.</p><p>• Partner with hardware engineers to integrate sensors, processors, and embedded modules into mission-ready systems.</p><p>• Build and optimize onboard image processing and AI-enabled workflows for timely analysis of mission data.</p><p>• Create and verify software that supports radio links, telemetry, command handling, and spacecraft tracking functions.</p><p>• Plan and execute verification activities such as unit testing, simulation, and hardware-in-the-loop validation to confirm system performance.</p><p>• Troubleshoot embedded software behavior in constrained and space-like environments, identifying root causes and implementing fixes.</p><p>• Contribute to ground support tools used for receiving, processing, and reviewing spacecraft data.</p><p>• Produce clear technical documentation and collaborate with electrical, mechanical, and mission engineering teams throughout development.</p>
<p>We are seeking a hands-on IT Infrastructure and Security Administrator to support and secure the organization’s IT environment. This role will be responsible for network administration, cybersecurity, Microsoft 365 security, hosted server support, and the secure adoption of AI tools such as Claude, ChatGPT, and Microsoft Copilot.</p><p><br></p><p>The ideal candidate will have strong experience in infrastructure and security, the ability to work independently, and a practical understanding of AI-related business risks. This person will also collaborate with a small IT team, recommend improvements to leadership, and provide occasional end-user support when needed.</p><p><br></p><p>Key Responsibilities</p><ul><li>Administer and troubleshoot network infrastructure, including Ubiquiti equipment</li><li>Strengthen security across networks, endpoints, hosted servers, and Microsoft 365</li><li>Assess risks and support secure use of Claude, ChatGPT, and Microsoft Copilot</li><li>Maintain two remotely hosted servers and related applications</li><li>Recommend infrastructure and security improvements</li><li>Support future cloud transitions and hosted application migrations</li><li>Partner with IT support staff to resolve technical issues</li><li>Provide occasional hands-on support for end-user equipment</li><li>Document configurations, procedures, and changes</li></ul>
<p>We are looking for an experienced Systems Security Administrator to support and strengthen a local government technology environment in South Carolina. This contract-to-permanent position is ideal for a hands-on candidate who can secure infrastructure, investigate threats, and take direct action to resolve issues across on-premises and cloud systems. The role requires a strong background in systems and network administration, along with the ability to communicate effectively with both technical teams and business stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Oversee daily security operations by monitoring alerts, reviewing system and network activity, and identifying risks that could affect the organization’s technology environment.</p><p>• Investigate cybersecurity events, determine root cause, and carry out remediation steps to contain threats and restore secure operations.</p><p>• Lead response efforts for security incidents, including urgent issues that may require after-hours support for critical events.</p><p>• Administer and harden core infrastructure such as Windows Server, Active Directory, Azure AD, Microsoft 365, and Azure-based services.</p><p>• Evaluate security settings across cloud, on-premises, and hybrid platforms and implement improvements that strengthen overall protection.</p><p>• Manage vulnerability assessment and remediation activities by prioritizing findings, coordinating fixes, and validating resolution.</p><p>• Organize and support security audits, penetration testing activities, and follow-up actions to address identified gaps.</p><p>• Develop and maintain security policies, technical documentation, awareness materials, and reporting for leadership and compliance needs.</p><p>• Supervise assigned staff or resources, coordinate vendor support, and serve as a trusted security advisor to departments across the organization.</p>
<p>We are looking for a Quality Assurance Engineer to strengthen software quality initiatives for an organization in Columbus, Ohio. This role focuses on creating and advancing automated testing approaches that improve application stability, performance, and dependability across enterprise platforms. The ideal candidate will work closely with cross-functional teams to promote quality throughout development and deliver clear insight into testing outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Build, refine, and support automated testing frameworks covering user interface, API, and backend validation.</p><p>• Shape the overall automation approach by defining practical standards, processes, and quality-focused engineering practices.</p><p>• Transform manually executed test scenarios into reliable automated scripts that improve efficiency and repeatability.</p><p>• Embed automated test execution within continuous integration and delivery workflows to support rapid, dependable releases.</p><p>• Run and maintain functional, regression, and smoke test suites to confirm application readiness and stability.</p><p>• Investigate defects and failed test results to identify underlying causes and help drive effective resolution.</p><p>• Communicate test progress, quality indicators, and outcome summaries to project stakeholders and delivery teams.</p><p>• Partner with product, business, development, and QA colleagues to confirm requirements are testable and quality expectations are achieved.</p><p>• Guide and support team members in the use of automation tools, frameworks, and sound testing practices.</p>
<p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A 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.</p><p><br></p><p><strong>Role Summary</strong></p><p>The 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.</p><p><br></p><p><strong>Key Responsibilities</strong></p><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><p><strong>Additional Details</strong></p><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>
We are looking for an accomplished Senior Java Engineer & Architect to strengthen and modernize critical business applications in Salt Lake City, Utah. This position blends technical leadership with hands-on development, focusing on dependable architecture, scalable solutions, and practical improvements that support daily operations. You will collaborate with business stakeholders and a small technology team to enhance internal platforms, streamline workflows, and identify effective opportunities for automation and emerging tools.<br><br>Responsibilities:<br>• Design, develop, and refine Java-based applications that support core business processes and long-term operational goals.<br>• Create architectural plans that improve system scalability, maintainability, performance, and reliability across existing platforms.<br>• Partner with managers, end users, and IT colleagues to translate operational needs into effective technical solutions.<br>• Maintain and extend large, established codebases while reducing technical debt and improving application stability.<br>• Build and support integrations with databases, APIs, and external services to ensure smooth data flow across systems.<br>• Analyze workflows and recommend software enhancements that increase efficiency, accuracy, and employee productivity.<br>• Troubleshoot application, database, and infrastructure issues in a Linux environment and resolve problems with minimal disruption.<br>• Evaluate and implement appropriate technologies, including automation and AI-assisted tools, when they provide measurable business value.<br>• Provide project planning input, technical guidance, and user support to help ensure successful delivery and adoption of solutions.
<p>A healthcare-focused organization is seeking a contract Full Stack Engineer to support a core identity and database platform for healthcare professionals, along with a companion desktop application used by an internal data operations team. This is a maintenance-and-enhancement role supporting an established, business-critical legacy system rather than a greenfield build or a role centered on a modern React/FastAPI/PostgreSQL stack.</p><p>The engineer will own changes end-to-end within the existing environment, which includes Classic ASP, ASP.NET (VB.NET/C#), Oracle PL/SQL, and related desktop and caching layers. Success in this role requires hands-on experience with this specific legacy stack; general modern full-stack experience alone is not sufficient.</p><p><br></p><p><strong>About the Platforms</strong></p><ul><li>The primary platform is a customer-facing and internal web application built on top of a large Oracle database containing tens of millions of healthcare professional records that serve as a core system of record for products and clients.</li><li>The companion application is a WPF desktop tool used by internal operations staff to validate professional license data before it is published to the main platform. While this desktop application is expected to be retired eventually, it remains in active daily use and requires dependable ongoing support until that transition occurs.</li></ul><p><strong>Essential Duties and Responsibilities</strong></p><ul><li>Design, build, and support features end-to-end, from UI layers built in Classic ASP, ASP.NET Web Forms/MVC, jQuery, and Bootstrap through the Oracle PL/SQL data layer.</li><li>Read, write, and troubleshoot Oracle PL/SQL, including stored procedures, packages, triggers, and views.</li><li>Provide maintenance and enhancement support for a WPF desktop application.</li><li>Diagnose and resolve production issues across the full stack, including database changes managed under change control.</li><li>Follow established coding, schema design, and database unit testing standards for all database changes, and deliver reviewed, issue-specific deployment scripts.</li><li>Participate in code reviews and technical design discussions with the product team.</li><li>Use AI-assisted development tools where helpful to accelerate work in legacy codebases; this is encouraged but not required.</li></ul><p><br></p>
We are looking for a Senior Data Engineer to help shape and expand a modern enterprise data ecosystem in Dallas, Texas. This role is ideal for a highly technical specialist who enjoys building scalable cloud-based data solutions, improving platform performance, and collaborating with both engineering and business leaders. The position offers the opportunity to contribute directly to lakehouse design, advanced pipeline development, and data initiatives that support analytics and emerging AI use cases.<br><br>Responsibilities:<br>• Architect and develop scalable data platforms using Azure Databricks, Spark, PySpark, Python, Delta Lake, and related big data technologies.<br>• Create and maintain layered lakehouse data models across raw, refined, and curated environments to support enterprise reporting and analytics.<br>• Lead the movement of legacy data assets into Azure-based cloud environments as part of broader platform modernization efforts.<br>• Build, enhance, and monitor high-volume ETL and streaming workflows, notebooks, and distributed processing jobs for reliability and efficiency.<br>• Integrate tools such as Azure Synapse Analytics and Azure Data Factory to support end-to-end data ingestion, transformation, and delivery.<br>• Improve performance of large-scale data workloads by tuning Spark jobs, optimizing code, and applying engineering best practices.<br>• Establish and follow modern software delivery standards through source control, Azure DevOps pipelines, CI/CD processes, and deployment automation.<br>• Prepare and structure data for machine learning, generative AI, and MLOps initiatives, including feature creation and production-ready integration.<br>• Work closely with implementation partners, architects, technical teams, business stakeholders, and senior leadership to align solutions with organizational goals.<br>• Contribute hands-on engineering expertise while also helping guide technical design and platform architecture decisions.
<p>We are looking for a Senior Azure Cloud Infrastructure Engineer to join a small, highly collaborative team that values innovation, curiosity, and continuous improvement. This role is ideal for someone who enjoys understanding the business and technical requirements behind a solution and determining the right infrastructure approach—not simply implementing what has already been defined.</p><p>You will work across Azure infrastructure, cloud modernization, systems architecture, API management, monitoring, performance, and application support. Over time, the role will also expand into new development and product support based on your background and the needs of the team.</p><p>What You’ll Do</p><ul><li>Design, implement, and modernize Azure cloud infrastructure and environments.</li><li>Provision and manage Azure resources, including storage, containers, virtual machines, and related cloud services.</li><li>Work with <strong>Microsoft Entra ID (Azure AD)</strong> and identity-related technologies.</li><li>Implement and support <strong>API Management</strong> solutions.</li><li>Monitor Azure environments and proactively identify performance, availability, and infrastructure health issues.</li><li>Evaluate infrastructure and systems requirements and determine the appropriate technical solution.</li><li>Apply architectural judgment when evaluating options such as firewalls, application gateways, networking, and other Azure services.</li><li>Participate in solution architecture and cloud modernization initiatives.</li><li>Conduct performance testing and assess the overall health and performance of infrastructure.</li><li>Collaborate with development and product teams to support applications and products.</li><li>Contribute to new development and code writing as the role evolves.</li><li>Participate in an environment that blends <strong>Agile and Waterfall</strong> methodologies.</li></ul><p><br></p>
<p>We are looking for an IT Security Analyst to support cybersecurity operations for a local organization in Savannah, Georgia. This contract position with the potential to become permanent is ideal for someone who is detail oriented and can assess threats, respond quickly to security events, and help strengthen the protection of critical systems and data. The role works closely with security team members to investigate suspicious activity, improve defensive measures, and support ongoing risk reduction efforts.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Monitor networks, systems, and security tools for threats and suspicious activity.</li><li>Investigate security alerts, determine root cause, and support remediation efforts.</li><li>Participate in incident response activities, including investigation, escalation, and containment.</li><li>Perform threat hunting to identify indicators of compromise and emerging risks.</li><li>Support vulnerability management by identifying, tracking, and addressing security weaknesses.</li><li>Assist with the configuration and optimization of security tools and controls.</li><li>Conduct intrusion detection and prevention through continuous security monitoring.</li><li>Analyze logs and security events to identify anomalies and potential threats.</li><li>Support data protection efforts through access controls and secure handling practices.</li><li>Help enforce cybersecurity policies, standards, and security best practices.</li></ul><p><br></p>
<p>Robert Half is seeking an experienced <strong>IT Support Technician</strong> to support a large, multi-location healthcare organization. This role will provide hands-on technical support to more than <strong>750 end users</strong>, troubleshooting day-to-day technology issues while supporting user accounts, devices, Microsoft technologies, and endpoint deployments.</p><p><br></p><p><strong>Duration: </strong>Contract-to-hire </p><p><strong>Location:</strong> 100% Onsite </p><p><strong>Pay rate</strong>: $27-$33/hourly </p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Provide hands-on desktop and technical support to end users across multiple locations and service areas.</li><li>Troubleshoot and resolve <strong>Windows desktop, hardware, software, printer, mobile device, and connectivity issues</strong>.</li><li>Support <strong>Microsoft 365 and Active Directory</strong>, including user accounts, access, permissions, password resets, and general account administration.</li><li>Perform <strong>device deployment, desktop imaging, configuration, setup, and endpoint support</strong>.</li><li>Support mobile devices, primarily <strong>iOS devices</strong>, and assist with device configuration and troubleshooting.</li><li>Manage incoming requests through the <strong>ticketing system</strong>, including prioritizing tickets, documenting troubleshooting steps, communicating with users, and ensuring issues are appropriately resolved and closed.</li><li>Independently troubleshoot and resolve most day-to-day technical issues while recognizing when escalation is appropriate.</li><li>Escalate complex, recurring, infrastructure-related, or specialized issues to senior IT staff and leadership.</li><li>Provide technical support in a professional, patient, and customer-focused manner.</li><li>Support users across a large organization while balancing multiple priorities and maintaining clear communication throughout the resolution process.</li></ul>
<p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based 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.</p><p><br></p><p><strong>Role Summary</strong></p><p>The 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.</p><p><br></p><p><strong>Key Responsibilities</strong></p><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><p><strong>Additional Details</strong></p><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>
<p><strong>Robert Half is working with a client who is looking to hire a Machine Learning Engineer</strong> to help operationalize machine learning models as part of a growing enterprise AI program.</p><p>This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.</p><p>Responsibilities</p><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><p><br></p>
We are looking for an experienced Sr Full Stack Software Engineer to help shape and expand a newly formed internal applications capability in Mount Arlington, New Jersey. In this role, you will create enterprise tools that streamline operations, support technical business users, and strengthen secure application delivery across the organization. This opportunity is well suited for someone who enjoys building practical platforms, improving self-service experiences, and delivering modern solutions that balance speed, governance, and scalability.<br><br>Responsibilities:<br>• Architect, build, and enhance internal business applications using modern front-end and back-end technologies, including React, Python with FastAPI, and PostgreSQL.<br>• Create reusable frameworks, starter templates, and guided development patterns that help teams deliver governed applications more efficiently.<br>• Develop enterprise integrations, file exchange capabilities, and other internal tools that support essential business processes.<br>• Design self-service features that reduce manual support needs and improve the experience for internal users and technical stakeholders.<br>• Connect applications with corporate identity and access management services while enforcing role-based permissions and secure authentication practices.<br>• Establish auditability, application lifecycle controls, and governance measures to support compliance, security, and operational oversight.<br>• Work closely with engineering, IT, and security partners to ensure solutions align with technical standards and are ready for production use.<br>• Contribute to architectural decision-making and champion sound engineering practices for reliability, maintainability, and secure software delivery.<br>• Support AI-enabled and low-code development capabilities that allow users to build lightweight internal solutions within defined guardrails.
<p><strong>Location: </strong>Monroe, NY (Orange County) — Onsite 5 days/week</p><p><strong>Title: </strong>Software Engineer</p><p><strong>Salary: </strong>up to $170k plus benefits (paid in full by the employer), PTO, Bonus, etc <strong>(Based on Experience)</strong></p><p><strong>Industry: </strong>Media & Technology</p><p><strong> </strong></p><p>We’re seeking an experienced Full Stack Software Engineer to design, develop, test, and maintain scalable web applications across front-end and back-end environments.</p><p><strong> </strong></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop full-stack applications, APIs, and web services.</li><li>Build responsive user interfaces and scalable back-end services.</li><li>Develop business logic and database solutions.</li><li>Collaborate with Product, QA, DevOps, and Engineering teams.</li><li>Participate in technical design, code reviews, testing, troubleshooting, and performance optimization.</li><li>Integrate third-party services/APIs and support CI/CD and automated testing.</li><li>Evaluate emerging technologies to improve scalability, security, and reliability.</li></ul><p><br></p>
<p>Our client is seeking a highly technical and innovative AI Solutions Engineer to design, build, and maintain internal applications, automations, and AI-powered tools that improve operational efficiency across the organization. This is not a traditional product development role. Instead, this individual will focus on solving business challenges through custom software development, workflow automation, system integrations, and practical applications of artificial intelligence.</p><p>The ideal candidate thrives in fast-paced environments, enjoys transforming ambiguous business needs into working solutions, and is comfortable partnering with both technical and non-technical stakeholders. This position offers the opportunity to work on a wide variety of projects while leveraging modern software development practices, cloud technologies, and AI capabilities to drive operational excellence.</p><p>Key Responsibilities</p><ul><li>Design, develop, and support internal applications, dashboards, automation tools, and workflow solutions that enhance business operations.</li><li>Build and integrate AI and Large Language Model (LLM) capabilities into existing processes, including document analysis, classification, workflow routing, content generation, summarization, and reporting.</li><li>Develop and maintain integrations between internal systems and third-party platforms using APIs and web services.</li><li>Rapidly prototype new solutions, gather business feedback, and evolve prototypes into scalable, maintainable production applications.</li><li>Collaborate with cross-functional teams to identify process improvement opportunities and implement technology-driven solutions.</li><li>Ensure applications meet security, privacy, governance, and compliance requirements.</li><li>Create and maintain technical documentation, architecture diagrams, and operational procedures to ensure ongoing supportability and audit readiness.</li><li>Monitor, troubleshoot, and enhance deployed solutions to ensure reliability and performance.</li></ul><p><br></p>
<p><strong>Senior Microsoft 365 / Copilot & Power Platform Engineer</strong></p><p>We 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.</p><p><strong>What You’ll Do</strong></p><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><p><br></p>
Principal Platform Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $250,000-$300,000 Base + Bonus Potential<br>For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page.<br>Build the Engineering Platform That Powers Scale, Security, and AI Innovation<br>We are seeking a Principal Platform Engineer to lead the architecture, automation, and standardization of a modern cloud platform supporting enterprise-scale software delivery, cloud operations, and emerging AI capabilities.<br>This is a newly created, high-impact leadership role for a hands-on platform engineering expert who thrives at the intersection of cloud architecture, DevSecOps, developer experience, automation, and reliability engineering. You'll help define how engineering teams build, deploy, secure, and operate software across the organization.<br>What You'll Own<br> • Define and execute a platform engineering strategy that improves developer productivity, consistency, and operational resilience<br> • Architect and scale enterprise-grade CI/CD platforms that accelerate delivery while reducing operational risk<br> • Design and implement Infrastructure as Code using Terraform with reusable, standardized modules<br> • Embed security throughout the engineering lifecycle through automated guardrails, policy-as-code, secrets management, and governance controls<br> • Advance deployment automation, progressive delivery practices, and rapid recovery capabilities<br> • Build observability strategies across distributed applications, microservices, and cloud-native environments<br> • Strengthen AWS cloud operations through improved IAM, networking, governance, and runtime visibility<br> • Establish engineering standards and platform best practices across multiple development teams and external partners<br>What You'll Bring<br> • 10+ years of Platform Engineering, DevOps, Cloud Infrastructure, or Site Reliability Engineering experience<br> • Proven success operating and scaling complex production CI/CD ecosystems<br> • Deep hands-on expertise with Terraform and modern Infrastructure as Code practices<br> • Strong background in DevSecOps, security automation, compliance, policy enforcement, and vulnerability management<br> • Experience implementing observability, monitoring, logging, and operational excellence across distributed systems<br> • Advanced knowledge of AWS, Kubernetes, IAM, networking, cloud architecture, and platform operations<br> • Strong understanding of software delivery, developer tooling, release management, and operational metrics such as reliability and MTTR<br> • Ability to influence technical direction, establish enterprise standards, and communicate effectively with engineering leadership and executive stakeholders<br>Why This Opportunity<br> • Strategic new role with significant influence on platform and engineering strategy<br> • Opportunity to build and mature a modern, AI-ready cloud platform<br> • Highly visible position partnering with senior engineering and business leaders<br> • Blend of architecture, hands-on engineering, and enterprise-wide technical leadership<br> • Direct impact on scalability, security, developer experience, and operational excellence<br> • Remote opportunity with exceptional compensation and bonus potential<br>If you're a platform engineering leader who enjoys building standardized, scalable, and secure cloud environments while shaping the future of engineering delivery, we'd love to connect.
<p>obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
<p>We are seeking an experienced Senior Solutions Architect for a long-term contract opportunity in Newington, Connecticut. This position will lead the strategy, architecture, and global deployment of workforce management solutions, with a strong focus on time and attendance systems and related payroll technologies.</p><p>The Senior Solutions Architect will partner closely with teams across Human Resources, Payroll, Information Technology, Enterprise Architecture, business leadership, and third-party vendors to design scalable, compliant, and efficient solutions that support global operations and business objectives.</p><p><br></p><p>Key Responsibilities</p><ul><li>Lead the planning, design, and deployment of workforce management solutions across multiple countries, regions, and business units.</li><li>Translate business, payroll, and operational requirements into scalable solution architectures that enhance timekeeping and attendance processes.</li><li>Oversee system configuration activities, including pay rules, accrual structures, scheduling logic, and other workforce management capabilities.</li><li>Partner with internal teams and external vendors to deliver integrations with Workday, payroll platforms, and other enterprise applications.</li><li>Manage timelines, priorities, interdependencies, and risk mitigation efforts across simultaneous country-specific rollouts.</li><li>Collaborate with implementation partners and vendors to ensure project quality, troubleshoot issues, and maintain delivery milestones.</li><li>Ensure solutions align with local labor laws, payroll regulations, collective bargaining agreements, union rules, and works council requirements.</li><li>Develop implementation roadmaps, rollout strategies, project updates, business cases, and executive-level presentations.</li><li>Support organizational readiness through change management, stakeholder communication, user adoption efforts, and global process harmonization</li></ul><p><br></p>
<p>We are looking for a Power Platform Engineer, proficient in skills such as API Integrations, Power Apps, Power BI, Power Automate to join our team in the Cape Coral, FL/Bonita Springs, FL/Lehigh Acres, FL area of Florida for a fully onsite opening. </p><p><br></p><p>In this role, you will create and enhance business applications, automations, and integrations using Microsoft technologies to improve operational efficiency across the organization. The position works closely with technical teams and business partners to deliver dependable, secure, and scalable solutions that align with enterprise standards. This opportunity is ideal for a developer who combines strong platform expertise with a practical approach to support, governance, and continuous improvement.</p><p><br></p><p>Responsibilities:</p><p>• Build, enhance, and maintain business applications, portals, and automated workflows using Microsoft Power Apps, Power Automate, Power Pages, and related platform tools.</p><p>• Develop integration components and automation scripts, including Python-based solutions and API-driven connections between business systems.</p><p>• Shape technical designs that support scalability, security, and long-term maintainability while following established Power Platform governance practices.</p><p>• Produce clear technical documentation, reusable solution assets, and implementation materials to support ongoing development and support efforts.</p><p>• Execute testing activities, participate in code and solution reviews, and resolve issues identified during deployment and production support.</p><p>• Provide secondary administrative support for Power Platform, SharePoint Online, and Microsoft Teams environments to help maintain stable operations.</p><p>• Track platform health, adoption, and capacity trends, then recommend enhancements that improve performance and reliability.</p><p>• Partner with security, infrastructure, and business stakeholders to deliver compliant solutions that meet operational needs.</p><p>• Remain current on new Microsoft Power Platform features, updates, and best practices, applying relevant improvements where appropriate.</p><p>• Support storm restoration and emergency response efforts when required, including extended work hours during severe weather events or other critical incidents.</p>
<p>We are looking for an experienced<strong> VDI Engineer</strong> to support and enhance cloud and virtual desktop environments for a contract to hire opportunity in<strong> Austin, Texas. </strong>This role is ideal for someone who brings deep technical knowledge across Azure, Citrix, Nutanix, and VDI platforms, and who can translate infrastructure needs into reliable, scalable solutions. The successful candidate will work closely with technical teams to improve performance, strengthen platform stability, and support ongoing cloud engineering initiatives. <strong><em>This role is onsite in Austin, Tx. You must currently reside in the Austin Metropolitan area to be considered.</em></strong></p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Design, implement, and maintain cloud and virtual desktop infrastructure solutions that support business and technical requirements.</p><p>• Administer and optimize Microsoft Azure environments to improve availability, scalability, and operational efficiency.</p><p>• Manage Citrix and VDI platforms, ensuring consistent end-user performance and dependable access to virtual resources.</p><p>• Develop and maintain PowerShell scripts to automate system administration tasks, streamline provisioning, and reduce manual effort.</p><p>• Support Nutanix-based infrastructure by monitoring health, resolving issues, and contributing to platform improvements.</p><p>• Troubleshoot complex infrastructure and virtualization issues across cloud, desktop, and hybrid environments.</p><p>• Partner with cross-functional teams to plan, test, and deploy infrastructure changes in a controlled and reliable manner.</p><p>• Document technical configurations, support procedures, and engineering standards to promote operational consistency.</p>
<p>We are seeking a versatile and technically strong Software Engineering Instructor to join our team in Monroe, NY. This individual will help students and/or learners strengthen their programming skills through hands-on instruction, mentoring, troubleshooting, and real-world development exercises.</p><p><br></p><p>The ideal candidate is a well-rounded software developer who can work comfortably across multiple programming languages and frameworks and has the ability to explain complex technical concepts in a clear, approachable manner.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Provide hands-on programming instruction, tutoring, and technical mentorship.</li><li>Teach and support learners across multiple programming languages, frameworks, and development environments.</li><li>Develop practical exercises, examples, and learning materials focused on real-world software development.</li><li>Help learners troubleshoot code, identify bugs, and understand best practices for debugging and testing.</li><li>Support testing and regression testing to ensure applications function as expected.</li><li>Introduce learners to cloud technologies, particularly <strong>AWS</strong>.</li><li>Help learners understand and apply modern <strong>AI technologies</strong>, including AI frameworks, APIs, plugins, and integrations.</li><li>Adapt instruction to different experience levels and learning styles.</li><li>Stay current with emerging programming languages, development frameworks, AI technologies, and industry best practices.</li></ul><p><br></p>
<p>Robert Half is hiring! We are looking for a Principal Software Engineer to lead the design and delivery of modern AI-driven software solutions. This role combines hands-on engineering with technical leadership across backend services, frontend applications, and intelligent workflow development. The ideal candidate brings deep full-stack expertise, a strong product mindset, and the ability to guide scalable systems from concept through production.</p><p><br></p><p>Responsibilities:</p><p>• Lead complete product delivery efforts, from technical planning and architecture through implementation, testing, and long-term support.</p><p>• Create and refine agentic AI workflows that support business goals and integrate effectively with broader application ecosystems.</p><p>• Build, enhance, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.</p><p>• Develop robust RESTful and GraphQL interfaces that enable reliable communication between platforms, services, and user-facing applications.</p><p>• Implement and improve React-based frontend features with a focus on usability, responsiveness, and smooth integration with backend systems.</p><p>• Architect and maintain microservices and distributed application components to support performance, resilience, and future growth.</p><p>• Improve system efficiency by tuning application behavior, streamlining database interactions, and optimizing cloud infrastructure usage.</p><p>• Apply strong security standards by implementing access controls, authentication mechanisms, and authorization practices across the platform.</p><p>• Oversee automated delivery processes and container-based deployments using CI/CD pipelines, Docker, and related engineering tools.</p><p>• Partner with product, design, and DevOps teams to resolve production issues, maintain cloud-based services, and deliver high-quality software outcomes.</p>