<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 Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment.<br><br>Responsibilities:<br>• Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations.<br>• Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform.<br>• Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support.<br>• Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards.<br>• Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably.<br>• Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge.<br>• Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow.<br>• Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights.<br>• Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads.<br>• Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
<p>Robert Half is seeking a Software Engineer II – AI Engineer who will analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies. This role contributes to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring. It also interacts with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Develop and modify application modules, including GenAI components. </li><li>Build prompt workflows, retrieval layers, APIs, and cloud services. </li><li>Troubleshoot production issues, including latency, hallucinations, and errors. </li><li>Provide Level II production support for deployed systems. </li><li>Design components, including LLM integrations and RAG pipelines. </li><li>Implement CI/CD pipelines, containerization, and release processes. </li><li>Develop RAG pipelines with embeddings, chunking, and vector search. </li><li>Apply prompt engineering techniques, including few-shot prompting and structured outputs. </li><li>Evaluate models for accuracy, relevance, and hallucination risk. </li><li>Implement safety guardrails, including PII protection and prompt-injection defense. </li><li>Execute testing, including unit, integration, and GenAI evaluation testing. </li><li>Monitor production systems for latency, cost, usage, and errors. </li><li>Support incident management with fallback and recovery strategies. </li></ul><p><br></p>
<p>We are seeking an experienced <strong>Network Architect</strong> to design, optimize, and future-proof our enterprise network environment with a strong focus on scalability, security, performance, and readiness for emerging <strong>AI-driven technologies</strong>. This role requires deep expertise in <strong>Cisco architecture</strong>, advanced routing and switching, and modern network design principles to support a growing and evolving business. Based on general knowledge.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and lead enterprise network architecture across LAN, WAN, wireless, data center, and cloud-connected environments. Based on general knowledge.</li><li>Develop network strategies that support <strong>AI futureproofing</strong>, including scalable bandwidth, low-latency design, resilient connectivity, and infrastructure readiness for automation and data-intensive workloads. Based on general knowledge.</li><li>Lead architecture standards, roadmaps, and modernization initiatives across core networking platforms. Based on general knowledge.</li><li>Serve as the subject matter expert for <strong>Cisco-based environments</strong>, including routing, switching, security, SD-WAN, and wireless technologies. Based on general knowledge.</li><li>Evaluate current network performance, identify gaps, and recommend improvements for capacity, resilience, and operational efficiency. Based on general knowledge.</li><li>Partner with infrastructure, security, cloud, and application teams to ensure integrated and secure network solutions. Based on general knowledge.</li><li>Design high-availability and disaster recovery network solutions to support business continuity. Based on general knowledge.</li><li>Guide implementation teams on best practices, configuration standards, and troubleshooting for complex network initiatives. Based on general knowledge.</li><li>Maintain architecture documentation, diagrams, standards, and technical recommendations for leadership and engineering teams. Based on general knowledge.</li><li>Assess new technologies and vendor solutions that align with long-term network and business strategy. Based on general knowledge.</li></ul><p><strong>Required Qualifications</strong></p><ul><li>7+ years of progressive network engineering and architecture experience, including enterprise-level design responsibility. Based on general knowledge.</li><li>Deep hands-on experience with <strong>Cisco networking technologies</strong> in complex enterprise environments. Based on general knowledge.</li><li>Strong expertise in routing, switching, BGP, OSPF, VLANs, QoS, VPNs, firewalls, wireless, and network segmentation. Based on general knowledge.</li><li>Experience designing highly available, secure, and scalable networks across on-premises and cloud-connected environments. Based on general knowledge.</li><li>Knowledge of network architecture considerations for <strong>AI, automation, and future-state digital transformation initiatives</strong>. Based on general knowledge.</li><li>Strong understanding of network security principles, access controls, and performance optimization. Based on general knowledge.</li><li>Proven ability to create architectural standards, lead network modernization, and support enterprise growth. Based on general knowledge.</li><li>Excellent communication skills with the ability to present technical strategy to both technical and non-technical stakeholders. Based on general knowledge.</li></ul>
<p>We are looking for an expierenced Automation Integration Engineer to help strengthen and advance automated distribution operations in Riverside, California. This position combines hands-on engineering support with system integration work to keep warehouse technology, material handling equipment, and software platforms performing reliably in a high-volume retail environment. The role partners closely with operations, IT, engineering, and external vendors to resolve technical issues, improve throughput, and support new automation initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Coordinate the connection and performance of warehouse software, automation controls, and material handling equipment to ensure smooth operation across distribution processes.</p><p>• Convert operational needs into detailed technical documentation, including functional requirements, change requests, and integration specifications.</p><p>• Build and manage testing strategies for system updates and automation enhancements, then verify results before release into production.</p><p>• Investigate interface failures, process interruptions, and unexpected system behavior by tracing data flow and equipment interaction across connected platforms.</p><p>• Provide daily engineering support for live automated operations, addressing equipment and system issues that affect flow, accuracy, or productivity.</p><p>• Lead root cause analysis for operational disruptions and follow issues through corrective action until stable performance is restored.</p><p>• Identify and implement improvements that increase throughput, strengthen reliability, and streamline warehouse processes.</p><p>• Assist with implementation projects, commissioning efforts, and go-live activities by coordinating technical tasks across internal teams and third-party partners.</p><p>• Maintain clear technical documentation such as standard operating procedures, workflow diagrams, interface records, and system support materials.</p><p>• Use operational metrics and system data to evaluate performance, support troubleshooting efforts, and contribute to reporting on key distribution indicators.</p>
We are looking for an AI Security Architect to help shape and strengthen the security posture of enterprise AI capabilities in Pennsylvania. This contract opportunity is ideal for a security specialist who can guide the safe adoption of AI platforms, agent-based tools, and AI-assisted development practices while aligning with internal standards and regulatory expectations. The role works closely with technology, risk, compliance, and business teams to evaluate emerging capabilities, address evolving threats, and support responsible innovation.<br><br>Responsibilities:<br>• Develop and refine security architecture for AI platforms, intelligent agents, and AI-assisted coding solutions to support secure deployment and ongoing operations.<br>• Assess platform enhancements, configuration updates, and newly introduced AI features to identify potential risk and recommend practical safeguards before implementation.<br>• Establish and improve protective controls for AI environments, including permissions, monitoring, logging, data safeguards, and usage restrictions.<br>• Analyze how sensitive and regulated information is handled within AI workflows, and support governance efforts related to classification, labeling, and responsible data use.<br>• Review connectors, plugins, integrations, and agent-driven capabilities to confirm appropriate access levels and reduce exposure across teams and systems.<br>• Conduct structured security evaluations of AI tools, models, and services to verify alignment with internal policies and relevant industry guidance.<br>• Research new AI security technologies and threat patterns, including prompt-based attacks, model misuse, and unintended data exposure, and identify opportunities for improvement.<br>• Partner with stakeholders across IT, risk, compliance, and business functions to communicate findings and advance secure AI adoption.<br>• Support secure software development by reviewing AI-generated code practices and incorporating AI-focused security checks into engineering workflows.<br>• Produce meaningful security metrics, including key risk and performance indicators, to strengthen monitoring and decision-making for AI security operations.
We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams.<br><br>Responsibilities:<br>• Design and maintain semantic models that support reporting needs across operational and executive audiences.<br>• Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance.<br>• Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs.<br>• Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers.<br>• Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment.<br>• Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery.<br>• Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust.<br>• Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI</li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul>
We are looking for a strategic product leader to guide the development and expansion of an enterprise AI and automation capability in Houston, Texas. This role will shape the roadmap for agentic AI solutions, align stakeholders across business and technology teams, and turn promising concepts into scalable services with clear operational value. The ideal candidate brings strong product management discipline, a practical understanding of AI technologies, and the ability to balance innovation with governance, quality, and responsible deployment.<br><br>Responsibilities:<br>• Drive the vision, roadmap, and service strategy for enterprise agentic AI and automation offerings across the organization.<br>• Partner with executive stakeholders, technical architects, security leaders, data governance teams, and delivery groups to uncover priority opportunities and define business value.<br>• Evaluate, rank, and manage a portfolio of AI agent and automation initiatives based on feasibility, impact, risk, and strategic alignment.<br>• Lead product efforts from discovery through launch, ensuring pilots are translated into production-ready solutions with measurable outcomes.<br>• Establish operating standards for solution design, validation, release management, monitoring, and ongoing support to enable consistent delivery at scale.<br>• Promote responsible AI practices by embedding compliance, trust, security, and governance considerations into product planning and execution.<br>• Facilitate agile product management processes, including backlog refinement, prioritization, and cross-functional coordination to keep initiatives moving effectively.<br>• Track performance indicators and adoption metrics to continuously improve product offerings and demonstrate business results.
<p>We are looking for an Agentic AI Orchestration Architect to join a Contract engagement supporting a retail visual production team in Corte Madera, California. In this role, you will assess how work moves across creative operations, connect existing AI-driven tools into a cohesive orchestration framework, and deliver practical improvements that can be adopted quickly. This position is ideal for a consultant who can combine technical architecture, workflow design, and stakeholder collaboration to build a scalable foundation for agentic AI in production environments.</p><p><br></p><p>Responsibilities:</p><p>• Lead onsite discovery sessions with a visual production team to analyze current processes, decision points, dependencies, and operational slowdowns.</p><p>• Design an orchestration approach that connects existing AI agents, automations, and platform-specific workflows into a unified operating model without replacing effective solutions unnecessarily.</p><p>• Deliver early-stage process enhancements that improve day-to-day production efficiency while defining a broader roadmap for long-term agentic AI adoption.</p><p>• Create a standardized work-order and state-management framework that tracks identifiers, assets, revisions, routing logic, ownership, approvals, and auditability across the workflow.</p><p>• Build rules-based routing and human review checkpoints, including support for manual status updates tied to production milestones such as studio shoots and print approvals.</p><p>• Develop notification and monitoring mechanisms that provide clear visibility into task readiness, delays, exceptions, and blocked work across the end-to-end process.</p><p>• Integrate tools such as Figma, Google Workspace, Box, and shared file environments using APIs, webhooks, and related connectivity patterns.</p><p>• Implement safeguards that carry upstream changes through dependent downstream activities in a controlled and reliable manner.</p><p>• Produce system documentation, train users on the operating model, and hand over a practical runbook with a prioritized backlog for future enhancements.</p>
<p><strong>Software Automation Engineer IV</strong></p><p><strong>Location: </strong>Remote, East Coast hours</p><p><br></p><p>We are seeking a senior-level <strong>Automation Engineer IV</strong> to help accelerate the development, deployment, and adoption of AI-enabled solutions across the enterprise. This role will sit at the intersection of <strong>Python engineering, automation, machine learning, software quality, and AI enablement</strong>, helping move AI and ML use cases from development and experimentation into reliable, scalable production environments.</p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><ul><li>Help operationalize <strong>AI and machine learning solutions</strong>, moving models and AI-enabled applications from development into scalable production environments.</li><li>Develop reusable frameworks, utilities, and automation that make it easier for application teams to <strong>integrate and deploy AI capabilities</strong>.</li><li>Build Python-based services, scripts, APIs, and automation workflows supporting AI and ML use cases.</li><li>Partner with technical teams to identify opportunities where <strong>AI can improve existing applications, processes, testing, and operational workflows</strong>.</li><li>Establish repeatable development, testing, deployment, and monitoring practices for AI-enabled applications.</li><li>Code, test, document, implement, and support new or modified machine learning systems supporting a broad range of clinical and enterprise use cases.</li><li>Evaluate emerging technologies and recommend opportunities to reuse existing capabilities versus building new solutions.</li><li>Partner with various SOC Leaders, technical owners, and stakeholders to understand operational challenges and automation opportunities.</li></ul><p>Design, build, and deploy AI-powered solutions such as:</p><ul><li>AI triage bots</li><li>Watchlist automation</li><li>Incident response automation</li><li>Security operations workflows</li><li>AI agents and intelligent automation tools</li><li>Build solutions end-to-end, from requirements gathering through deployment and support.</li><li>Participate in architectural design and technical decision-making.</li><li>Integrate AI and automation tools into existing enterprise systems and workflows.</li><li>Improve SOC efficiency by reducing false positives, manual effort, and administrative tasks.</li><li>Develop software solutions utilizing AWS services and APIs.</li><li>Collaborate across security, engineering, and operations teams.</li></ul>
We are looking for a Data/Information Architect to join a team in Madison, Wisconsin on a contract-to-permanent basis. This position focuses on building and advancing machine learning operations capabilities, with an emphasis on scalable data pipelines, model deployment, and practical forecasting solutions. The ideal candidate brings strong hands-on experience with Python, PySpark, and API-driven ML services, along with the judgment to select the right algorithms for different business problems.<br><br>Responsibilities:<br>• Architect and enhance machine learning workflows that support reliable model development, testing, deployment, and monitoring.<br>• Create scalable data pipelines using Python and PySpark to prepare, transform, and deliver data for analytics and machine learning use cases.<br>• Evaluate business problems and determine the most appropriate modeling techniques based on data characteristics, performance goals, and operational constraints.<br>• Build and support production-ready machine learning systems and products that integrate forecasting and predictive capabilities into business processes.<br>• Develop and maintain API-based services, including FastAPI solutions, to expose machine learning models for downstream applications.<br>• Measure and improve model performance by tracking accuracy, validating outputs, and refining approaches to strengthen prediction quality.<br>• Partner with technical and business stakeholders to define architecture standards for machine learning platforms and deployed data products.<br>• Contribute to MLOps best practices, including versioning, automation, reproducibility, and operational support for deployed models.
<p><strong>Robert Half is working with a client who is looking to hire a Director of Data & AI</strong> to lead the organization's enterprise data, analytics, and artificial intelligence strategy.</p><p>This individual will be responsible for building the roadmap, team, governance model, and technology capabilities required to expand the organization's use of data and AI. The Director will work closely with senior technology and business leadership and will oversee several strategic initiatives spanning data modernization, business intelligence, advanced analytics, machine learning, and generative AI.</p><p>Responsibilities</p><ul><li>Define and execute the enterprise Data and AI strategy.</li><li>Develop a multi-year roadmap for data platforms, analytics, and AI capabilities.</li><li>Lead Data Engineering, BI, Analytics, Data Science, and AI functions.</li><li>Identify high-value AI and analytics opportunities across business units.</li><li>Establish enterprise standards for data architecture and governance.</li><li>Oversee major cloud data platform and modernization initiatives.</li><li>Build policies and governance processes for responsible AI adoption.</li><li>Manage technology partners, consulting firms, and strategic vendors.</li><li>Develop business cases and investment proposals for Data and AI initiatives.</li><li>Recruit, develop, and lead high-performing technical teams.</li><li>Establish KPIs measuring adoption, business value, data quality, and program performance.</li><li>Present strategy, progress, and recommendations to executive leadership.</li></ul><p><br></p>
<p>We are seeking a <strong>QA Automation Engineer</strong> to help ensure the quality, reliability, and performance of software applications through automated and manual testing. This role will work closely with developers, business analysts, and other technology teams to identify issues early, improve testing processes, and build scalable automated testing solutions.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain automated test scripts and frameworks for web and software applications.</li><li>Create and execute automated, functional, regression, integration, and API tests.</li><li>Develop detailed test plans, test cases, and test scenarios based on business and technical requirements.</li><li>Perform manual testing when needed to validate functionality and investigate issues.</li><li>Identify, document, and track software defects through resolution.</li><li>Analyze test results and work with development teams to troubleshoot and resolve issues.</li><li>Participate in requirements and design reviews to identify potential quality issues early in the development process.</li><li>Build and maintain reusable automated testing components and frameworks.</li><li>Integrate automated testing into CI/CD pipelines and support continuous testing practices.</li><li>Test application integrations, data flows, APIs, and system interfaces.</li><li>Perform database validation and use SQL to verify data accuracy and integrity.</li><li>Help improve overall QA processes, standards, documentation, and testing methodologies.</li><li>Collaborate with cross-functional teams in an Agile/Scrum environment.</li><li>Monitor test coverage and identify opportunities to expand automation and improve efficiency.</li><li>Support production issue investigations and regression testing following application changes or releases.</li></ul><p><br></p>
We are looking for a Computer Vision Engineer to join a growing team building AI-driven solutions for manufacturing environments in Cambridge, Massachusetts. In this role, you will create and deploy vision models that interpret live camera feeds to support defect detection and workflow monitoring across industrial settings. This position is ideal for an engineer who enjoys turning machine learning concepts into reliable production systems and collaborating closely with technical teams to deliver measurable operational value.<br><br>Responsibilities:<br>• Design, train, and refine computer vision models for manufacturing use cases such as defect identification, anomaly detection, and step-by-step task tracking.<br>• Build production-ready Python-based machine learning pipelines using frameworks such as PyTorch or TensorFlow.<br>• Work with image and video data captured from facility cameras to develop accurate and scalable real-time analysis solutions.<br>• Deploy and support vision applications in cloud and edge environments, including AWS services such as S3 and EC2.<br>• Collaborate with engineering leadership and cross-functional teammates to translate customer needs into practical model and system designs.<br>• Create solutions from the ground up using supervised and unsupervised learning techniques where appropriate.<br>• Improve system performance through testing, evaluation, and iterative tuning of algorithms in live operational settings.<br>• Participate in periodic onsite visits to customer facilities to understand workflows, validate model behavior, and support implementation.
<p>We are seeking a <strong>.NET Software Engineer</strong> to design, develop, and support modern enterprise applications using Microsoft technologies. This role will focus on building scalable web applications, APIs, and cloud-based solutions utilizing <strong>C#, .NET, Azure, Angular, and SQL Server</strong>.</p><p>The ideal candidate will be comfortable working across both backend and frontend development while collaborating with business stakeholders, QA teams, and DevOps engineers in an Agile environment.</p><p>Responsibilities</p><ul><li>Design, develop, test, and maintain enterprise applications using C# and .NET.</li><li>Develop REST APIs and backend services using .NET Core/.NET 8.</li><li>Build and maintain responsive user interfaces using Angular.</li><li>Create and optimize SQL Server databases, stored procedures, and queries.</li><li>Develop and support cloud-based solutions within Microsoft Azure.</li><li>Participate in architecture discussions, sprint planning, and code reviews.</li><li>Collaborate with DevOps teams to support CI/CD pipelines and automated deployments.</li><li>Troubleshoot production issues and implement performance improvements.</li><li>Create technical documentation and support application upgrades.</li></ul><p><br></p>
<p>Robert Half is seeking a Contract C# Developer to join our client's development team. As a Contract C# Developer, you will play a pivotal role in designing, developing, and maintaining software applications using the C# programming language. This contract position offers an exciting opportunity to work on diverse projects with a reputable organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Software Development:</strong> Design, code, test, debug, and document software applications using C# and associated technologies to meet project requirements.</li><li><strong>Application Enhancement:</strong> Maintain and enhance existing C# applications by identifying areas for improvement and implementing necessary updates.</li><li><strong>Collaboration:</strong> Collaborate with cross-functional teams to gather requirements, analyze needs, and develop scalable and efficient software solutions.</li><li><strong>Database Integration:</strong> Develop and optimize database-related functionalities within applications using SQL Server, MySQL, or other database systems.</li><li><strong>Front-End Development:</strong> Utilize front-end technologies like HTML, CSS, JavaScript, and related frameworks/libraries to develop user interfaces for applications.</li><li><strong>Code Reviews and Testing:</strong> Conduct code reviews, perform unit testing, and ensure code quality, performance, and adherence to coding standards.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for developed applications, including system designs and user manuals.</li><li><strong>Troubleshooting and Support:</strong> Provide technical support and troubleshooting assistance for developed applications to ensure smooth operation and user satisfaction.</li></ol><p><br></p>
We are looking for a Software Engineer to join a long-term contract opportunity based in New York, NY. This role supports a modern Microsoft-focused environment and combines hands-on technical problem solving with user-facing service for a wide range of infrastructure and endpoint needs. The position also offers the chance to collaborate with cross-functional teams, contribute to environment improvements, and strengthen overall support capabilities through technical leadership and mentorship.<br><br>Responsibilities:<br>• Deliver high-level technical support across infrastructure, desktop systems, and end-user computing environments, resolving complex issues efficiently.<br>• Administer and troubleshoot Azure-based services, organizational user profiles, and Intune-managed devices to maintain stable operations.<br>• Design, implement, and refine Microsoft policies and configuration standards to improve security, consistency, and device performance.<br>• Work closely with the infrastructure team to address escalations, coordinate shared initiatives, and support ongoing technical projects.<br>• Provide responsive, thorough assistance to executive-level users, ensuring a high-quality support experience and timely issue resolution.<br>• Participate in testing, verification, and post-change validation activities related to infrastructure upgrades and environment updates.<br>• Guide less experienced engineers through technical challenges, share best practices, and help raise the overall capability of the support team.
We are looking for a Software Engineer to join our team in Kingston, New York and help build reliable, secure, and scalable software solutions. In this role, you will contribute to the design, development, integration, and ongoing support of custom applications across internal and cloud-based environments. You will work closely with analysts, product stakeholders, and cross-functional technical teams to deliver practical solutions that balance business needs, technical feasibility, and long-term maintainability.<br><br>Responsibilities:<br>• Develop, enhance, and support custom applications and system integrations with a focus on performance, security, scalability, and maintainability.<br>• Partner with business analysts and stakeholders to shape solution designs, define technical specifications, and evaluate integration approaches.<br>• Contribute to project teams delivering software across internal platforms and cloud-based services, ensuring consistent progress through iterative releases.<br>• Build shared components, reusable services, and development frameworks that improve efficiency and standardization across the engineering team.<br>• Collaborate with cross-functional application teams to create proof-of-concept solutions and translate ideas into production-ready software.<br>• Participate in the deployment, monitoring, and ongoing maintenance of production applications to support stable business operations.<br>• Work with engineering leadership, product owners, and project managers to help plan roadmaps and prioritize development work effectively.<br>• Apply coding standards, development best practices, and architectural patterns while providing technical guidance to other team members.
We are looking for a Software Engineer to join a contract opportunity with the potential to become permanent, based in New York, New York. This position will play a key role in shaping technical architecture across integrations, platform security, data flow, and release readiness within a Workday-focused environment. The ideal candidate brings strong engineering judgment, hands-on integration expertise, and the ability to guide technical standards while partnering with stakeholders across the organization.<br><br>Responsibilities:<br>• Direct the overall strategy for the integration ecosystem, including monitoring system health, maintaining technical inventories, and planning future enhancements across connectors, Studio solutions, and downstream consumers.<br>• Create and evaluate integration designs while establishing best practices for development, exception management, operational logging, and technical documentation.<br>• Partner with security stakeholders to define and maintain a robust tenant security framework covering access controls, business process security, and integration-related permissions.<br>• Assess the technical implications of platform updates and version changes, leading regression planning and validation efforts to reduce production risk.<br>• Investigate complex production issues affecting integrations, identify underlying causes, and implement durable corrective actions.<br>• Design and support advanced platform solutions such as Extend, Prism, or reporting capabilities when required by business needs.<br>• Promote modern engineering practices by introducing AI-supported development approaches, automated testing, and continuously updated technical knowledge assets.<br>• Provide technical leadership to engineers through coaching, design oversight, and participation in the interview process for new team members.
We are looking for an experienced Software Engineer to join a team in Houston, Texas, building and enhancing business-critical applications with a strong focus on Microsoft Dynamics 365 and modern web technologies. This role is well suited for someone who enjoys designing scalable solutions, working across application layers, and translating operational needs into reliable software. The ideal candidate brings deep hands-on development experience, strong problem-solving ability, and a solid foundation in software engineering principles.<br><br>Responsibilities:<br>• Design, build, and maintain software solutions using C#, .NET, and ASP.NET to support core business and field service operations.<br>• Develop and customize Microsoft Dynamics 365 capabilities to align platform functionality with operational and user requirements.<br>• Create and optimize SQL queries, data models, and backend processes to ensure strong application performance and data integrity.<br>• Build and support ETL workflows that move and transform data between systems for reporting, integration, and business processes.<br>• Collaborate with cross-functional stakeholders to gather technical requirements, define solution approaches, and deliver high-quality enhancements.<br>• Develop responsive user-facing features with JavaScript and React.js to improve usability and streamline business workflows.<br>• Troubleshoot application defects, identify root causes, and implement durable fixes across integrated systems.<br>• Contribute to software architecture, coding standards, testing practices, and continuous improvement efforts throughout the development lifecycle.
We are looking for a Software Engineer to join a long-term contract opportunity in Moraine, Ohio. This role is ideal for an engineer who enjoys improving enterprise applications, building modern cloud-based solutions, and strengthening development practices across the team. The position offers the chance to contribute to application refactoring efforts while applying strong skills in .NET, front-end development, and DevOps-driven delivery.<br><br>Responsibilities:<br>• Design, build, and enhance enterprise software solutions using C#, .NET, ASP.NET, and modern JavaScript frameworks.<br>• Contribute to the modernization of legacy applications by refactoring codebases and improving overall system performance, maintainability, and scalability.<br>• Develop and support cloud-based solutions in Azure, including deployment automation and environment configuration.<br>• Create and maintain CI/CD pipelines with GitHub Actions to streamline build, test, and release processes.<br>• Implement Infrastructure-as-Code practices using Terraform or Bicep to standardize and automate cloud provisioning.<br>• Partner with cross-functional stakeholders to define technical approaches, resolve complex issues, and deliver reliable software solutions.<br>• Apply strong data access and persistence practices, including Entity Framework, to support robust application development.<br>• Mentor team members, promote engineering best practices, and help establish consistent development standards across the organization.
<p><strong>Build the systems that keep the business running.</strong></p><p>We're seeking a <strong>PHP Developer</strong> to join our enterprise technology team and develop, enhance, and support internal business applications used across multiple departments. This role is ideal for someone who enjoys solving business challenges through technology and working closely with end users to improve operational efficiency.</p><p><strong>What You'll Do:</strong></p><ul><li>Design, develop, and maintain internal web-based applications using PHP.</li><li>Collaborate with business stakeholders to gather requirements and deliver solutions.</li><li>Integrate applications with databases, APIs, and other enterprise systems.</li><li>Troubleshoot issues, optimize performance, and support ongoing enhancements.</li><li>Participate in code reviews and contribute to application architecture decisions.</li></ul><p><strong>What We're Looking For:</strong></p><ul><li>Experience developing applications with PHP and SQL databases.</li><li>Strong understanding of web technologies including HTML, CSS, JavaScript, and REST APIs.</li><li>Experience working with business systems, workflows, and data integrations.</li><li>Ability to communicate effectively with both technical and non-technical teams.</li><li>Experience with modern PHP frameworks is a plus.</li></ul><p><strong>Why Join Us?</strong></p><ul><li>Work on high-impact applications used across the organization.</li><li>Stable enterprise environment with long-term projects.</li><li>Collaborative team culture and opportunities for professional growth.</li><li>Competitive compensation and comprehensive benefits.</li></ul><p>If you enjoy building practical software that solves real business problems, we'd love to hear from you.</p>
We are looking for a skilled Software Engineer to join our team in Jacksonville, Florida, on a Contract to permanent position. In this role, you will develop and enhance software applications using C++ while automating workflows through batch scripting. This position offers an excellent opportunity to contribute to high-performance systems and solve complex technical challenges.<br><br>Responsibilities:<br>• Design and implement software features and applications using the C++ programming language.<br>• Develop clean, efficient, and maintainable code that meets technical requirements and standards.<br>• Collaborate with cross-functional teams to gather and define technical specifications for projects.<br>• Perform unit testing and support integration testing to ensure software quality and reliability.<br>• Identify and resolve software defects through debugging and troubleshooting techniques.<br>• Automate repetitive tasks and workflows by creating and maintaining batch scripts.<br>• Optimize and maintain existing codebases to improve performance and functionality.<br>• Stay informed about the latest advancements and best practices in C++ development.