<p>We are looking for an AI Engineer to serve as a force multiplier for the client’s engineering organization. The role is part of an initiative to design, build, and scale AI-powered engineering workflows that dramatically increase developer productivity and accelerate software delivery. The client’s team is actively supporting a complex legacy-to-Python migration while maintaining multiple customer-facing applications. This role will be responsible for leveraging AI technologies to automate and optimize every phase of the Software Development Life Cycle (SDLC), including requirements analysis, code generation, testing, defect investigation, and release processes.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement AI-powered workflows that automate software engineering processes across the SDLC.</p><p>· Build and orchestrate multi-step AI agent frameworks for code analysis, generation, validation, testing, and feedback loops.</p><p>· Develop reusable AI tooling, agent templates, and engineering playbooks adopted across multiple teams.</p><p>· Create automated testing solutions, regression frameworks, and validation mechanisms using AI-assisted approaches.</p><p>· Enhance CI/CD pipelines and DevOps processes through intelligent automation and release optimization.</p><p>· Support large-scale legacy application modernization and business rule extraction initiatives.</p><p>· Build Python-based automation tools for data processing, workflow orchestration, and engineering productivity.</p><p>· Partner with developers, architects, and engineering leadership to identify and eliminate delivery bottlenecks.</p><p>· Evaluate and implement emerging AI technologies that improve software development efficiency and quality.</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>
<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, AI</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A growing organization is seeking an AI Engineer to develop automation, data, and AI-driven solutions that improve business processes and operational efficiency. This role offers the opportunity to work on innovative projects while helping shape the organization's use of emerging technologies.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The AI Engineer will design, build, and support AI-powered applications, automation solutions, and data-driven workflows. The ideal candidate combines strong software engineering skills with experience delivering practical AI solutions in a business environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and support AI-enabled applications and automation solutions.</li><li>Partner with business and technical teams to identify opportunities for process improvement.</li><li>Build integrations between AI solutions, data sources, and business applications.</li><li>Monitor solution performance and continuously improve reliability and effectiveness.</li><li>Develop and maintain technical documentation and best practices.</li><li>Support the evaluation and adoption of emerging AI technologies.</li></ul>
<p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building production-ready AI solutions that combine agentic workflows, scalable backend engineering, and modern web application development. The ideal candidate will bring deep experience across AI system design, API development, cloud-based services, and cross-functional collaboration to deliver reliable, high-impact products.</p><p><br></p><p>Responsibilities:</p><p>• Lead full product development efforts from initial architecture through deployment and ongoing enhancement of AI-driven applications.</p><p>• Design and implement advanced agentic AI systems that support reasoning, planning, memory, tool usage, and multi-step task execution.</p><p>• Build, test, and maintain scalable backend services and APIs using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks such as Express or NestJS.</p><p>• Create and support RESTful and GraphQL interfaces that connect AI capabilities with web applications, enterprise platforms, and external services.</p><p>• Develop React-based user interface components and ensure smooth interaction between frontend experiences and backend systems.</p><p>• Architect microservices and distributed application patterns that improve scalability, resiliency, and maintainability across production environments.</p><p>• Establish evaluation, observability, and monitoring practices to measure AI system quality, reliability, latency, cost efficiency, and operational health.</p><p>• Collaborate with product, design, DevOps, data science, and engineering teams to translate business goals into secure, scalable technical solutions.</p><p>• Drive deployment automation, containerization, troubleshooting, and performance optimization across cloud-hosted applications and AI services.</p>
AI/LLM Engineer / Solutions Architect - no 3rd parties, no C2C - no must be eligible to work in the U.S. - Remote with 2 weeks onsite to onboard We are looking for an Artificial Intelligence (AI) Engineer to lead practical AI development efforts for a manufacturing organization in Lincolnton, North Carolina. This Long-term Contract position will focus on creating production-ready automation tools and intelligent workflows that improve decision-making, streamline operations, and uncover business insights from enterprise data. The role is best suited for someone who can translate complex operational needs into scalable AI solutions while partnering closely with cross-functional teams such as Finance and Sales. <br> Responsibilities: • Design and deploy AI-powered applications that automate recurring operational activities and improve workflow efficiency across the business. • Build intelligent solutions that analyze enterprise and operational data to identify trends, risks, and opportunities that support growth and performance. • Create tools that provide visibility into customer purchasing behavior, inventory conditions, material planning, and seasonal business patterns. • Develop AI-driven capabilities that help teams investigate operational issues, uncover contributing factors, and support faster resolution. • Integrate AI models and services with existing business platforms, data sources, and external systems through APIs and structured pipelines. • Partner with stakeholders in Finance, Sales, and other functional areas to define use cases, prioritize deliverables, and align solutions with business goals. • Establish practical standards for AI implementation, including solution scope, governance, and responsible deployment practices. • Produce market intelligence solutions that monitor external signals such as public-sector funding activity, bid opportunities, and competitor developments. • Participate in early onsite collaboration to understand the manufacturing environment, team workflows, and operational priorities before broader delivery begins.
<p>Robert Half is hiring for a Principal level Software Engineer to focus on agentic workflows and AI software products. In this role, you will lead full product development efforts while creating intelligent, scalable applications that combine agentic AI capabilities with modern web technologies. The position calls for a hands-on engineer who can build reliable backend systems, contribute to user-facing experiences, and partner across teams to deliver secure, high-performing solutions.</p><p><br></p><p>Responsibilities:</p><p>• Lead the full software development lifecycle for AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.</p><p>• Create and refine agentic AI workflows that support business objectives and integrate effectively with application services.</p><p>• Build, test, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.</p><p>• Develop and maintain RESTful or GraphQL interfaces that enable dependable communication between applications and services.</p><p>• Contribute to front-end development with React, ensuring smooth interaction between user interfaces and backend functionality.</p><p>• Architect and support microservices-based and distributed systems designed for reliability, flexibility, and growth.</p><p>• Improve overall system efficiency by tuning application performance, refining database access patterns, and managing cloud resource consumption.</p><p>• Apply strong security practices by implementing access control, authentication, and authorization measures across applications.</p><p>• Oversee containerized delivery processes and automated deployment workflows using Docker and CI/CD tools, while diagnosing and resolving production issues in cloud environments.</p><p>• Work closely with product, design, and DevOps partners to deliver maintainable, well-documented solutions that meet project goals.</p>
<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>
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>We are seeking a Senior Software Engineer with deep experience in backend Java development and Android application engineering. This role will focus on designing, building, and maintaining scalable backend services while also contributing to Android mobile applications. The ideal candidate brings strong technical expertise, a collaborative mindset, and a passion for delivering reliable, high-quality software.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, test, and maintain backend services using Java and Spring Boot.</li><li>Build and enhance Android applications with a focus on performance, usability, and maintainability.</li><li>Collaborate with product, business, and engineering stakeholders to define technical requirements and deliver solutions.</li><li>Develop RESTful APIs and integrations that support mobile and web-based applications.</li><li>Write clean, efficient, and well-documented code following established coding standards.</li><li>Participate in architecture discussions, technical design reviews, and sprint planning sessions.</li><li>Perform code reviews and contribute to best practices for software quality, scalability, and security.</li><li>Troubleshoot and resolve application, database, and system performance issues.</li><li>Support deployment activities, testing efforts, and ongoing production maintenance.</li><li>Contribute to continuous improvement initiatives across development workflows, tooling, and engineering processes.</li></ul>
<p><strong>Robert Half is seeking a Senior Software Engineer</strong> with strong expertise in backend development and an AI forward mindset to support a Financial Services client headquartered in Bellevue, WA. This position is a 6 month contract and is 100% Remote. Apply today!</p><p><br></p><p><strong>Duration:</strong> 6 month contract</p><p><strong>Schedule</strong>: PST Core Hours, flexible </p><p><strong>Location:</strong> 100% Remote </p><p><br></p><p><strong>Responsibilities: </strong></p><ul><li>Develop secure, scalable, and maintainable backend applications using <strong>Python</strong>.</li><li>Design, build, and maintain <strong>microservices, RESTful APIs, and cloud-native applications</strong>.</li><li>Develop reusable solutions, shared libraries, and engineering standards that improve team productivity.</li><li>Participate in code reviews and ensure adherence to development and quality standards.</li><li>Implement unit, integration, and performance testing to support production-ready solutions.</li><li>Configure and maintain <strong>CI/CD pipelines</strong> and development automation.</li><li>Troubleshoot production issues and perform root cause analysis.</li><li>Partner with Product Owners, Business Analysts, architects, and other stakeholders to translate business requirements into effective technical solutions.</li><li>Participate in and lead technical design discussions, architecture reviews, and engineering initiatives.</li><li>Apply best practices for <strong>scalability, security, performance, observability, disaster recovery, and capacity planning</strong>.</li><li>Communicate technical decisions and tradeoffs effectively to both technical and non-technical audiences.</li><li>Mentor and provide technical guidance to other engineers through pairing, coaching, and knowledge sharing.</li><li>Leverage <strong>AI-assisted development tools and integrated AI agents</strong> to improve developer velocity, code quality, automation, and engineering outcomes.</li><li>Evaluate emerging technologies and help introduce tools and practices that improve software delivery.</li></ul>
We are looking for a Software Engineer to join a long-term contract opportunity supporting a secure research data platform in Houston, Texas. In this role, you will help create and enhance web-based tools that allow researchers to work with large-scale learning and behavioral data while maintaining strong privacy protections. This position blends full-stack development, data-focused problem solving, and close collaboration with technical and academic stakeholders. The ideal candidate brings strong TypeScript-based engineering experience and enjoys building reliable products that support meaningful research outcomes.<br><br>Responsibilities:<br>• Build and enhance end-to-end platform capabilities across user-facing applications and backend services, with a strong focus on scalable full-stack delivery.<br>• Create responsive interfaces using modern JavaScript frameworks and develop server-side functionality that supports secure and efficient data workflows.<br>• Design and integrate data models that connect information from multiple research sources into a cohesive platform architecture.<br>• Contribute to cloud-based infrastructure and automated delivery processes to improve system reliability, performance, and release quality.<br>• Work closely with engineers, product leaders, data specialists, and research partners to translate complex needs into practical software solutions.<br>• Improve code quality through thoughtful system design, peer reviews, testing practices, and clear technical documentation.<br>• Support platform stability by identifying performance issues, troubleshooting technical problems, and helping optimize large application codebases.<br>• Provide guidance to less experienced team members and contribute to a collaborative, high-accountability engineering culture.
<p>We are looking for an Infrastructure Engineer to support and enhance a complex enterprise technology environment serving the local Minnesota area. This role is ideal for a versatile infrastructure specialist who can work across cloud platforms, virtualization, network services, and core systems operations. The position is fully remote, but candidates must reside in the local metro area and be comfortable managing multi-site infrastructure with a strong focus on reliability, security, and performance.</p><p><br></p><p>Responsibilities:</p><p>• Manage and improve cloud and on-premises infrastructure across enterprise environments, ensuring dependable performance and availability.</p><p>• Administer Microsoft Azure and Microsoft 365 services while supporting broader infrastructure initiatives tied to business and technical needs.</p><p>• Oversee multi-site, multi-forest Active Directory environments, including policy administration and identity-related services.</p><p>• Support virtualization platforms with Nutanix and contribute to the health and scalability of datacenter operations.</p><p>• Coordinate patching, endpoint administration, device management, and infrastructure monitoring to maintain secure and stable systems.</p><p>• Troubleshoot Windows desktop and server issues at multiple levels of complexity and provide effective resolution across the environment.</p><p>• Work with network, cloud, desktop, and server service providers to maintain seamless infrastructure support.</p><p>• Contribute to network operations by supporting routing, firewall administration, and Layer 2/Layer 3 connectivity across locations.</p><p>• Strengthen infrastructure security by implementing and maintaining logging, alerting, and other operational security tools.</p>
<p>Robert Half is hiring! We are looking for a Cloud Engineer to support and enhance a secure, high-performing technology environment for a financial services organization in South Carolina. This role combines infrastructure administration, cloud platform support, and systems optimization, with a strong focus on reliability, security, and operational efficiency. The ideal candidate brings deep technical expertise across server management, identity services, Microsoft 365 administration, and virtualization, along with the ability to solve complex issues in a fast-moving environment.</p><p><br></p><p>Responsibilities:</p><p>• Administer and maintain Linux and Windows server environments to ensure strong performance, stability, and secure day-to-day operations.</p><p>• Oversee cloud and virtual infrastructure across platforms such as Microsoft Azure and VMware, including ongoing management, support, and optimization.</p><p>• Manage directory services and identity infrastructure, including domain controller administration, directory roles, and related access controls.</p><p>• Support advanced Microsoft 365 administration by maintaining Exchange, SharePoint, Teams, and Entra ID environments.</p><p>• Monitor system health, evaluate performance trends, and implement tuning improvements to strengthen availability and efficiency.</p><p>• Maintain database environments through routine upkeep, performance improvements, and controls that protect data accuracy and security.</p><p>• Configure and support network and firewall settings, applying knowledge of communication protocols and secure port-level connectivity.</p><p>• Develop and maintain scripts or automation solutions to reduce manual effort and improve consistency in recurring administrative tasks.</p>
We are looking for an Implementation Engineer to lead the deployment and integration of enterprise technology solutions for customer environments in San Antonio, Texas. This role partners closely with client IT teams to prepare infrastructure, connect cloud-based services, and deliver secure, reliable implementations that align with business needs. The ideal candidate brings strong systems and networking knowledge, a methodical approach to documentation, and the ability to resolve technical issues with professionalism and urgency.<br><br>Responsibilities:<br>• Deploy and configure enterprise software across customer servers, workstations, and connected network devices.<br>• Coordinate with client IT teams to assess infrastructure readiness and prepare environments for successful solution delivery.<br>• Integrate platforms with identity and access management systems, including Azure Active Directory, Microsoft Entra ID, Google, Active Directory, and Okta.<br>• Connect cloud services to customer networks while ensuring dependable performance, security, and compatibility.<br>• Produce clear implementation records, configuration details, and support documentation for completed projects.<br>• Investigate technical issues in existing installations and provide timely troubleshooting and resolution.<br>• Use remote collaboration and support tools to assist customers, perform technical reviews, and complete implementation tasks.<br>• Follow company policies, operational procedures, and applicable compliance and safety standards in all work activities.<br>• Communicate openly with management regarding project status, risks, and other important matters affecting delivery.
A leading infrastructure and transportation group is seeking an Enterprise Architect to serve as the design authority across three core pillars: Data Engineering, Application Development, and ERP (JD Edwards), as well as the integration landscape connecting them. This strategic role establishes target-state architectures, integration patterns, and governance frameworks, bridging local execution with global group IT strategy. Depth in at least one pillar with the technical breadth and curiosity to cover the rest is required. <br> RESPONSIBILITIES Architecture & Standards: Establish target-state architectures, reference models, and design patterns across Data, AppDev, and ERP domains. Publish "golden paths" to streamline delivery. Integration & Governance: Define integration strategy (APIs, event-driven/batch patterns, service buses, master data flows). Own enterprise data governance, data domains, policies, and quality standards. AI & Self-Service Governance: Design governance models for AI agents, machine consumers (identity, entitlements, auditability), and citizen-developed/low-code business solutions. Architecture Assurance & Advisory: Chair architecture reviews, lead build-vs-buy evaluations, and sequence technical debt remediation into practical roadmaps without micromanaging delivery. Influence & Alignment: Maintain technology watches to evaluate innovations, publish Architecture Decision Records (ADRs), and align local standards with parent group digital functions.
<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 Systems Engineer to support advanced automation initiatives for machinery manufacturing operations. This long-term contract position is ideal for a hands-on, detail-oriented engineer who can translate legacy control strategies into modern edge-based solutions while helping define a scalable technical framework for future growth. The role combines field execution, software logic development, and systems architecture to improve performance, reliability, and deployment consistency across large operating environments.<br><br>Responsibilities:<br>• Translate existing control logic into edge-compatible automation code for plunger lift and related systems.<br>• Refine Modbus communications, register mapping, and datapoint organization to improve equipment visibility and operational efficiency.<br>• Build standardized logic packages, configuration methods, and deployment approaches that can be repeated across high-volume installations.<br>• Program, configure, test, and commission RTUs and edge devices to ensure dependable field performance.<br>• Verify proper operation of sensors, alarms, communications, and control sequences during startup and ongoing system validation.<br>• Investigate and resolve integration problems involving control hardware, edge platforms, and connected field equipment.<br>• Define structured data flows that move operational information from RTUs through Modbus into downstream software applications.<br>• Produce technical standards, commissioning documentation, and best-practice guides that support large-scale rollouts.<br>• Provide engineering input on platform design, scalability, and long-range automation strategy across multi-site deployments.
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.
We are looking for a Transition Engineer to lead critical integration and platform transition efforts for a Long-term Contract assignment based in Eastaboga, Alabama. This role focuses on ensuring reliable connectivity between external providers, enterprise transportation systems, and internal dispatch tools while supporting operational continuity. The ideal candidate will bring strong systems integration experience, sound change control practices, and the ability to translate business process needs into stable technical solutions.<br><br>Responsibilities:<br>• Lead the company-side readiness for provider cutover activities, including network routing, certificate setup, and end-to-end connection validation.<br>• Track transaction flow from the external provider through the McLeod platform and into the internal dispatch environment to confirm data integrity across systems.<br>• Adjust the dispatch application only where necessary so it can accept and process the incoming feed with minimal disruption to operations.<br>• Plan and execute rollback rehearsals and full-cycle testing, including month-end validation, to confirm production readiness before final transition.<br>• Partner with the designated McLeod specialist to coordinate integration behavior, align mapping dependencies, and resolve handoff issues efficiently.<br>• Decommission legacy integrations by confirming inactivity, retiring obsolete interfaces, and documenting shutdown steps for affected systems.<br>• Evaluate an external customer portal and provide a clear recommendation on whether it should be retired, modernized, or replaced.<br>• Support the move of dispatch decisioning into the McLeod planning board by converting documented business rules into actionable system configuration requirements.<br>• Maintain operational ownership of Linux-based servers and related applications, ensuring stability, controlled changes, and complete technical documentation throughout the engagement.
<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><strong>Lead Data Engineer</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A media organization is seeking a Lead Data Engineer to support enterprise data, analytics, and emerging technology initiatives. This role offers the opportunity to lead technical projects, mentor engineers, and help shape the organization's data strategy.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The Lead Data Engineer will be a hands-on technical leader responsible for data engineering, analytics, automation, and AI-related initiatives. This role combines individual contribution, technical direction, team mentorship, and cross-functional collaboration.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the design, development, and support of enterprise data solutions.</li><li>Provide technical leadership and establish development best practices.</li><li>Oversee data pipelines, integrations, reporting, and automation initiatives.</li><li>Partner with business and technology stakeholders to prioritize work and deliver solutions.</li><li>Monitor data quality, reliability, and operational performance.</li><li>Mentor team members and support their technical development.</li><li>Evaluate emerging technologies and identify opportunities for innovation.</li></ul>
Position: Principal Data Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $225,000 - 300,000 base plus 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><br>Build the data foundation that powers analytics, AI, and enterprise decision-making.<br>We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases.<br><br>What You’ll Own<br> • Design and build a modern data platform across ingestion, transformation, storage, and consumption<br> • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)<br> • Establish data architecture standards, modeling practices, and engineering frameworks<br> • Create secure, multi-tenant data environments with strong governance and access controls<br> • Build data models and serving layers for reporting, self-service analytics, and AI workloads<br> • Evaluate and implement cloud data technologies for performance, cost, and scalability<br> • Partner with engineering and business leaders to align data strategy with company priorities<br> • Guide vendors and external partners while enforcing internal data standards and quality<br><br>What You Bring<br> • 10+ years of experience in data engineering, including large-scale architecture ownership<br> • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar<br> • Expertise building batch and streaming pipelines in cloud environments (AWS preferred)<br> • Deep knowledge of data modeling for both transactional and analytical systems<br> • Hands-on experience with Snowflake, Redshift, or modern data platforms<br> • Strong understanding of data governance, privacy, and secure data design<br> • Experience with ETL frameworks, testing, and CI/CD-driven data workflows<br> • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders<br><br>Why This Role<br> • Architect and build a next-generation data platform from foundational level<br> • Direct impact on analytics, product insights, and AI capabilities<br> • High ownership, visibility, and influence across engineering and leadership<br> • Opportunity to define standards, tooling, and long-term data strategy<br><br>If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.
Position: Principal Data Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $180,000 - $225,000 base plus SIGNIFICANT bonus and or equity potential<br><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><br>Build the data foundation that powers analytics, AI, and enterprise decision-making.<br>We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases.<br><br>What You’ll Own<br> • Design and build a modern data platform across ingestion, transformation, storage, and consumption<br> • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)<br> • Establish data architecture standards, modeling practices, and engineering frameworks<br> • Create secure, multi-tenant data environments with strong governance and access controls<br> • Build data models and serving layers for reporting, self-service analytics, and AI workloads<br> • Evaluate and implement cloud data technologies for performance, cost, and scalability<br> • Partner with engineering and business leaders to align data strategy with company priorities<br> • Guide vendors and external partners while enforcing internal data standards and quality<br><br>What You Bring<br> • 10+ years of experience in data engineering, including large-scale architecture ownership<br> • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar<br> • Expertise building batch and streaming pipelines in cloud environments (AWS preferred)<br> • Deep knowledge of data modeling for both transactional and analytical systems<br> • Hands-on experience with Snowflake, Redshift, or modern data platforms<br> • Strong understanding of data governance, privacy, and secure data design<br> • Experience with ETL frameworks, testing, and CI/CD-driven data workflows<br> • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders<br><br>Why This Role<br> • Architect and build a next-generation data platform from foundational level<br> • Direct impact on analytics, product insights, and AI capabilities<br> • High ownership, visibility, and influence across engineering and leadership<br> • Opportunity to define standards, tooling, and long-term data strategy<br><br>If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.<br><br><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. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
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.