We are looking for a Data Scientist to support advanced data initiatives in Dover, Delaware. This Long-term Contract position focuses on building scalable data solutions, uncovering actionable insights, and helping stakeholders make informed decisions through reliable analysis. The ideal candidate brings strong technical depth across modern data platforms and is comfortable working with large, complex datasets in a collaborative environment.<br><br>Responsibilities:<br>• Design and maintain data pipelines that collect, transform, and prepare large datasets for analytical and operational use.<br>• Develop statistical models and data-driven solutions that help identify trends, improve forecasting, and support business strategy.<br>• Use Python and distributed processing tools to analyze high-volume data efficiently and produce meaningful recommendations.<br>• Work with Spark and Hadoop-based environments to manage large-scale data processing and support advanced analytics workloads.<br>• Integrate streaming and batch data from multiple sources, including Kafka, to ensure timely and accurate data availability.<br>• Partner with cross-functional teams to translate business questions into analytical approaches, technical requirements, and measurable outcomes.<br>• Build ETL workflows that improve data quality, consistency, and accessibility across reporting and analytical platforms.<br>• Document methodologies, assumptions, and results clearly so that technical and non-technical stakeholders can understand key findings.
<p>For our client, we are seeking a Data Scientist to develop advanced analytics, predictive models, and machine learning solutions that support strategic business decisions. This individual will work with large datasets, identify meaningful patterns, and collaborate with technical and business teams to deliver actionable insights through statistical analysis, data modeling, and artificial intelligence.</p>
<p>We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication.</p><p><br></p><p>Responsibilities:</p><p>• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.</p><p>• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.</p><p>• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.</p><p>• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.</p><p>• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.</p><p>• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.</p><p>• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.</p><p>• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.</p>
<p>We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul><p><br></p>
We are looking for an Artificial Intelligence (AI) Engineer to create and scale advanced generative AI solutions for a highly regulated financial services setting in Jacksonville, Florida. This position is ideal for a hands-on engineer who can turn concepts into dependable production applications while balancing speed, quality, and security. You will work across AI architecture, application development, and cloud deployment to deliver intelligent capabilities that support enterprise business goals.<br><br>Responsibilities:<br>• Design and implement generative AI applications and agent-based workflows that solve complex business challenges in a financial services environment.<br>• Build end-to-end AI capabilities, including solution design, development, testing, deployment, and ongoing performance monitoring.<br>• Connect large language models to enterprise products and operational processes to deliver practical, production-ready functionality.<br>• Develop and maintain data preparation workflows such as document chunking, embedding generation, indexing, and vector search optimization.<br>• Configure and manage cloud infrastructure using Terraform to support scalable, resilient, and secure AI services.<br>• Engineer robust backend components and enterprise applications using C# and the Microsoft technology stack.<br>• Collaborate with technical and business stakeholders to define requirements, prioritize deliverables, and drive high-quality execution.<br>• Ensure AI systems meet expectations for reliability, governance, data protection, and compliance within a regulated industry.<br>• Continuously refine models, pipelines, and application performance to improve accuracy, efficiency, and operational stability.
<p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building intelligent, production-ready applications that combine modern software engineering with advanced agent-based AI capabilities. The ideal candidate will lead solutions from early design through deployment, creating scalable services, responsive user experiences, and reliable AI-driven workflows that support business objectives.</p><p><br></p><p>Responsibilities:</p><p>• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.</p><p>• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.</p><p>• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.</p><p>• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.</p><p>• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.</p><p>• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.</p><p>• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.</p><p>• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.</p><p>• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.</p><p>• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.</p>
We are looking for an Artificial Intelligence (AI) Engineer to join a long-term contract opportunity based in Cincinnati, Ohio. In this role, you will create and operationalize AI and machine learning solutions with a strong focus on generative AI, helping translate business needs into secure, scalable applications. You will collaborate across technical and business teams to deliver production-ready models, strengthen AI adoption, and support measurable outcomes through thoughtful engineering and evaluation.<br><br>Responsibilities:<br>• Create, train, and deploy scalable AI and machine learning solutions, including generative AI applications such as large language models, retrieval-augmented systems, and prompt-driven workflows.<br>• Build and maintain data pipelines, feature preparation processes, and model training and evaluation jobs using Python and established machine learning frameworks.<br>• Deliver models into production as APIs or batch processes, and improve inference performance with attention to speed, reliability, and cost efficiency.<br>• Assess emerging generative AI tools and model architectures, including embeddings, vector search, and diffusion-based approaches, to support defined business use cases.<br>• Develop prompt strategies, orchestration flows, safety controls, and evaluation methods, using structured testing to improve response quality and reduce risk.<br>• Apply MLOps and LLMOps practices such as experiment tracking, version control, deployment automation, monitoring, alerting, and drift detection.<br>• Integrate AI services with enterprise data platforms and business systems, including APIs, event-driven architectures, data warehouses, and reporting environments.<br>• Partner with product, analytics, IT, and data architecture teams to clarify requirements, document technical decisions, and deliver solutions that meet agreed objectives.<br>• Promote responsible AI practices by incorporating privacy, security, fairness, and content safety considerations into model behavior, testing, and deployment.<br>• Track performance indicators for AI initiatives, share insights on effectiveness and adoption, and stay current with advances in generative AI and broader machine learning methods.
We are looking for an Artificial Intelligence (AI) Engineer to join a team building intelligent applications and production-ready AI services in Irvine, California. This role combines software engineering, applied AI development, and operational ownership, with a focus on creating reliable user-facing tools and scalable backend systems. The ideal candidate brings hands-on experience with modern language model platforms, strong Python development skills, and the ability to translate business goals into practical AI solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration.<br>• Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior.<br>• Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features.<br>• Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences.<br>• Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring.<br>• Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance.<br>• Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage.<br>• Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements.<br>• Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
<p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join our team. This position focuses on building intelligent applications and scalable software systems that support advanced AI-driven products in the real estate and property industry. The ideal candidate brings deep engineering expertise across modern backend development, API design, front-end integration, and agent-based AI architecture. You will play a key role in shaping production-ready AI solutions that are reliable, secure, and aligned with business goals.</p><p><br></p><p>Responsibilities:</p><p>• Lead full lifecycle development of AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.</p><p>• Design and deliver agent-based AI solutions that support reasoning, multi-step execution, tool usage, memory handling, and workflow orchestration.</p><p>• Build, test, and maintain scalable backend applications and services 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 web applications, internal platforms, databases, and external tools.</p><p>• Develop React-based user interfaces and ensure smooth interaction between front-end components and backend services.</p><p>• Architect microservices and distributed application patterns that improve scalability, resilience, and maintainability.</p><p>• Improve system efficiency by tuning application performance, refining database usage, and managing cloud resources effectively.</p><p>• Apply strong security practices across authentication, authorization, deployment, and production operations while supporting CI/CD pipelines and containerized environments.</p><p>• Establish monitoring, tracing, evaluation, and debugging practices for AI systems in production, and resolve issues across cloud-based environments.</p><p>• Partner with product, design, DevOps, data, and engineering teams while providing technical guidance on AI platform strategy and engineering standards.</p>
We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization.<br><br>Responsibilities:<br>• Partner with business leaders to understand operational pain points and identify where AI can create measurable value.<br>• Translate business needs into solution concepts, technical approaches, and implementable AI initiatives.<br>• Design, develop, test, and deploy AI and machine learning applications that address real-world business problems.<br>• Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities.<br>• Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow.<br>• Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities.<br>• Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes.<br>• Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
We are looking for an Artificial Intelligence (AI) Engineer to help turn promising AI concepts into reliable, scalable solutions used across the business. This role works closely with technology, product, and operational teams in Conshohocken, Pennsylvania to guide practical delivery decisions, strengthen production AI systems, and ensure solutions are secure, governable, and useful for everyday workflows. The ideal candidate combines hands-on engineering depth with strong judgment, enabling teams and stakeholders to move from experimentation to measurable business impact.<br><br>Responsibilities:<br>• Collaborate with cross-functional technology and product teams to advance AI initiatives from early testing into stable production environments while aligning with existing ownership across the organization.<br>• Design, build, and support production-ready AI systems, while providing technical guidance and mentorship to other engineers contributing to delivery efforts.<br>• Define and improve the end-to-end productionization process for AI solutions, including system architecture, model evaluation, performance optimization, cost management, observability, and continuous iteration.<br>• Embed AI capabilities into operational workflows so that teams gain practical adoption, improved efficiency, and stronger output quality rather than isolated proof-of-concept results.<br>• Apply responsible AI practices that support healthcare-oriented expectations around privacy, security, governance, and model oversight without slowing delivery unnecessarily.<br>• Assess third-party platforms, vendors, and integration approaches to identify scalable options and avoid tools that create fragmented or short-term solutions.<br>• Drive automation opportunities across content and compliance-related processes to create more efficient and differentiated delivery capabilities.<br>• Contribute technical expertise during client discussions, proposals, and new business efforts by clearly representing what can be built and delivered in real-world timelines.<br>• Engage confidently with client and internal stakeholders across IT, brand, medical, and agency functions, translating technical considerations into practical business decisions.<br>• Help non-technical users adopt AI tools by promoting governed, accessible solutions that fit the needs of teams beyond engineering.
We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making.<br>• Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions.<br>• Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost.<br>• Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way.<br>• Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability.<br>• Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns.<br>• Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation.<br>• Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions.<br>• Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
<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>
We are looking for an Artificial Intelligence (AI) Engineer to create practical solutions that improve how teams work, analyze information, and make decisions. This position is based in Jupiter, Florida, and focuses on designing intelligent applications, workflow automations, and data-driven tools that support business and financial operations. You will collaborate with stakeholders across the organization to translate open-ended challenges into reliable, scalable products built with modern engineering and cloud technologies.<br><br>Responsibilities:<br>• Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities.<br>• Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency.<br>• Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights.<br>• Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support.<br>• Automate recurring deliverables across finance, accounting, and operational reporting functions.<br>• Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments.<br>• Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes.<br>• Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation.<br>• Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
We are looking for a forward-deployed software engineer to strengthen customer-facing engineering efforts in King of Prussia, Pennsylvania. This role combines software development, operational support, and analytical problem-solving to improve how internal teams and customers interact with core systems. The ideal candidate brings strong backend engineering experience, a practical approach to automation, and the ability to turn technical challenges into reliable, scalable solutions.<br><br>Responsibilities:<br>• Create and enhance internal applications, scripts, and workflows that improve efficiency for customer-facing and engineering teams.<br>• Oversee the health of live systems, investigate irregular behavior, and address risks before they affect users or business operations.<br>• Examine operational and product data to uncover trends, support decision-making, and recommend meaningful improvements.<br>• Investigate customer-reported technical problems, determine root causes, and deliver timely, effective resolutions.<br>• Develop and release product enhancements driven by customer needs while maintaining quality and system stability.<br>• Partner closely with Customer Success, Sales Engineering, and Engineering to remove obstacles and support high-impact initiatives.<br>• Improve platform reliability and performance through thoughtful debugging, optimization, and ongoing maintenance.<br>• Stay informed on evolving technologies and engineering practices, applying new ideas where they add measurable value.
<p>Robert Half is partnering with a company in Wisconsin to help them hire an experienced Software Support Engineer. In this role you're responsible for supporting, maintaining, and improving the company's business and technical software applications. This role focuses on application administration, troubleshooting, user support, and developing tools and integrations that improve system functionality and reduce manual processes.</p><p><br></p><p>The position will support a variety of applications, including CAD/PDM software, ERP systems, and internal business applications. Working with IT, internal users, software vendors, and the MRP/ERP Solutions Consultant, this person will help resolve application issues, maintain system integrations, improve data accuracy, and identify opportunities to make software and business processes more efficient.</p><p><br></p><p>Principal Responsibilities</p><ul><li>Administer and support company software applications, including user access, licensing, system settings, upgrades, troubleshooting, and software deployments.</li><li>Serve as a primary point of contact for application-related questions and technical support, helping users resolve issues and get the most out of available software.</li><li>Develop and maintain utilities, scripts, and integrations that connect business applications, databases, and internal systems using C#/.NET, VB.NET, or other supported programming languages.</li><li>Identify opportunities to automate repetitive tasks, improve workflows, reduce manual data entry, and increase system efficiency.</li><li>Use SQL to retrieve, compare, and validate data across systems, helping identify discrepancies and maintain data accuracy.</li><li>Support and improve existing integrations between company applications and the ERP system, working with the MRP/ERP Solutions Consultant to investigate transfer failures and resolve data issues.</li><li>Maintain and improve existing VBA/VB.NET scripts and other custom-developed tools.</li><li>Coordinate software installations, licensing, upgrades, and application deployments with IT and relevant software vendors.</li><li>Test application updates, integrations, and custom utilities before deployment. Maintain appropriate documentation, source control, error handling, and recovery procedures.</li><li>Provide user training and develop practical documentation and guides to help employees use company applications effectively.</li><li>Work with IT on infrastructure, security, user access, backups, and application deployments.</li><li>Collaborate with departments across the company to understand software issues, prioritize improvements, and implement practical solutions.</li><li>Perform other related duties as assigned.</li></ul><p><br></p>
<p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading organization is seeking a Software Engineer to help develop next-generation AI platforms. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>
We are looking for an experienced Lead Data Engineer to shape and scale modern data solutions for a growing organization. This role is ideal for a senior, detail-oriented individual who enjoys working in a dynamic environment, contributing both strategically and hands-on across engineering initiatives. The ideal candidate brings strong technical depth in cloud-based data platforms, a practical approach to data architecture, and the ability to guide engineers while partnering effectively with business stakeholders.<br><br>Responsibilities:<br>• Lead the design, development, and maintenance of scalable data pipelines and warehouse solutions using Python, Snowflake, and Azure-based technologies.<br>• Define data architecture standards that improve reliability, usability, and long-term scalability across the data environment.<br>• Drive performance tuning and optimization efforts for data processing workflows, storage structures, and query execution.<br>• Establish and strengthen data quality practices by implementing validation, monitoring, and governance measures across datasets and pipelines.<br>• Serve as a senior technical leader who can step into managerial responsibilities, providing direction, feedback, and support to engineering team members.<br>• Mentor engineers through code reviews, technical coaching, and knowledge sharing to elevate team capability and engineering consistency.<br>• Partner closely with business teams and technical stakeholders to translate operational and analytical needs into effective data solutions.<br>• Contribute hands-on to ETL development and cloud data platform enhancements, with exposure to Databricks considered an advantage.<br>• Act as a key point of coordination between business priorities and technical execution to ensure data initiatives deliver measurable value.
<p>We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.</p><p>• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.</p><p>• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.</p><p>• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.</p><p>• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.</p><p>• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.</p><p>• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.</p><p>• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.</p><p>• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.</p>
<p>We are looking for an Enterprise Solutions Engineer to help strengthen and advance enterprise collaboration and AI platforms in Houston TX. This Long-term Contract position focuses on administering, securing, and improving Microsoft 365 and supported AI environments so they remain reliable, compliant, and scalable. The role works across platform governance, operational support, and AI enablement while partnering with stakeholders to drive adoption and manage complex escalations.</p><p><br></p><p>Responsibilities:</p><p>• Strengthen governance standards and operational controls across Microsoft 365 and enterprise AI platforms to support secure, consistent usage.</p><p>• Design and refine workflows using AvePoint and native Microsoft capabilities to improve oversight, automation, and lifecycle management.</p><p>• Administer and enhance Microsoft Purview capabilities, including retention policies, sensitivity labeling, insider risk controls, and broader data governance practices.</p><p>• Deliver advanced support for escalated issues involving SharePoint, Teams, OneDrive, Entra ID, Purview, Power Platform, AvePoint, and approved AI solutions.</p><p>• Manage AI platform administration activities such as configuration, access governance, usage controls, and issue resolution.</p><p>• Evaluate platform health and workspace quality, then implement improvements that reduce unnecessary sprawl and improve user experience.</p><p>• Coordinate communication and rollout efforts for new platform features, governance updates, and AI-related capabilities across distributed teams.</p><p>• Partner with regional and global stakeholders to address governance exceptions, access concerns, and consistency in platform practices.</p><p>• Create and monitor dashboards and reports that measure adoption, usage trends, governance performance, risk indicators, and AI activity.</p><p>• Provide leadership with clear analysis and practical recommendations based on operational data and governance insights.</p>
We are looking for an Enterprise Solutions Engineer to support and enhance enterprise collaboration and AI platforms in Greenwood Village, Colorado. This Long-term Contract position focuses on strengthening Microsoft 365 environments, advancing governance practices, and helping the organization scale secure, compliant solutions. The role is well suited for someone who can balance platform administration, operational support, and stakeholder collaboration while driving continuous improvement across modern workplace technologies.<br><br>Responsibilities:<br>• Strengthen governance standards and operational controls across Microsoft 365 and supported enterprise AI environments to improve security, compliance, and scalability.<br>• Configure and refine workflows using AvePoint and native Microsoft capabilities to support effective platform oversight and policy execution.<br>• Administer and enhance Microsoft Purview features such as retention, sensitivity labeling, insider risk controls, and information lifecycle processes.<br>• Support the management of enterprise AI platforms by helping enforce policies, oversee access structures, and maintain responsible agent lifecycle practices.<br>• Investigate complex escalations and deliver advanced support across SharePoint, Teams, OneDrive, Entra ID, Purview, Power Platform, AvePoint, and approved AI tools.<br>• Monitor platform health, assess collaboration environments, and recommend improvements that reduce workspace sprawl and raise overall service quality.<br>• Carry out governance and administrative tasks through Microsoft 365 and related platform management consoles.<br>• Partner with global teams to communicate changes, support adoption of new capabilities, and promote consistent implementation across regions.<br>• Develop dashboards and reporting that measure usage trends, governance effectiveness, adoption levels, and potential risk indicators to guide leadership decisions.
<p>I’m working with a Healthcare technology organization seeking a Senior Cloud Security Engineer to design, automate, and operate cloud security controls within a Microsoft Azure environment. This role will focus on cloud security engineering, automated remediation, identity security, DevSecOps integration, and compliance within a highly regulated environment.</p><p> </p><p><strong>POSITION: AZURE CLOUD SECURITY </strong></p><p><strong>LOCATION: DALLAS, 75201 (HYBRID 3 DAYS ONSITE)</strong></p><p><strong>DURATION: 6 MONTH CONTRACT TO PERMANENT</strong></p><p><strong>SALARY: 155K – 170K DEPENDING ON EXPERIENCE</strong> </p><p> </p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Engineer and support cloud security platforms including Wiz, Microsoft Defender for Cloud, and related Azure security technologies.</li><li>Design automation workflows that move security findings from detection through remediation using APIs, scripting, and event-driven architectures.</li><li>Implement policy-as-code, Infrastructure-as-Code security controls, Azure Policy, and CI/CD security guardrails.</li><li>Secure Azure identity and network environments including Microsoft Entra ID, Conditional Access, PIM, Azure Firewall, NSGs, and Fortinet solutions.</li><li>Partner with DevOps, SRE, and infrastructure teams to improve cloud security posture, incident response capabilities, and compliance readiness.</li></ul><p><br></p>
We are looking for a Systems Security Engineer to strengthen and secure enterprise infrastructure for a respected financial institution in San Antonio, Texas. This position blends hands-on systems administration with a strong security focus, making it well suited for someone who can protect Windows-based environments while advancing consistent controls across the organization. The individual in this role will help elevate the company’s security posture through practical hardening measures, policy enforcement, and close collaboration with technical and business stakeholders.<br><br>Responsibilities:<br>• Build, deploy, and support secure infrastructure solutions across both on-premises systems and cloud-based platforms.<br>• Manage and enhance Microsoft security and identity tools, including Intune, Entra ID, Defender, Active Directory, and Group Policy, to improve control and visibility.<br>• Define and apply security configuration standards that align with recognized benchmarks and enterprise best practices.<br>• Drive initiatives related to server hardening, patching, vulnerability resolution, and ongoing configuration oversight.<br>• Create and maintain endpoint protection standards and device compliance rules to support a secure user environment.<br>• Review security alerts, examine potential threats, and coordinate timely corrective actions with the appropriate teams.<br>• Partner with infrastructure, networking, and IT leadership to promote standardized security processes and technology practices.<br>• Provide administration and support for core Windows Server services and related enterprise infrastructure components.<br>• Contribute to audits, risk reviews, and compliance activities associated with regulated financial environments.
<p>Want to build security, not just maintain it?</p><p>This isn’t a role where you’ll inherit a mature security program, spend your days updating policies, or stay buried in one narrow piece of the environment.</p><p>We’re looking for an experienced security focused<strong> Systems Engineer</strong> who wants to take real ownership of security and compliance while staying hands-on with the technology behind it.</p><p>You’ll serve as a go-to security expert across the organization, partnering closely with IT leadership to strengthen the security program, advance CMMC and NIST compliance, and tackle infrastructure and systems initiatives along the way.</p><p>And yes, there’s a pretty great perk: <strong>work four 10-hour days and get a three-day weekend every week.</strong></p><p><br></p><p>Why This Role Is Different</p><p>This is a <strong>newly created position</strong>, which means there’s an opportunity to put your fingerprints on the security program rather than simply stepping into someone else’s playbook.</p><p>You’ll have:</p><ul><li><strong>Ownership:</strong> Help build, mature, and operationalize the security and compliance program.</li><li><strong>Executive visibility:</strong> Work closely with IT leadership and the CTO on security strategy, risk, and framework roadmaps.</li><li><strong>Hands-on technical work:</strong> Security is the priority, but you’ll still work with systems, infrastructure, identity, endpoints, networking, Microsoft 365, and cloud technologies.</li><li><strong>Autonomy:</strong> You’ll be trusted to own projects, make recommendations, communicate risk, and drive initiatives forward.</li><li><strong>Variety:</strong> Work across security, compliance, infrastructure, and systems rather than being siloed into one narrow function.</li><li><strong>A 4/10 schedule:</strong> Four workdays. Three-day weekends. Enough said.</li></ul><p>What You’ll Own</p><p>Your center of gravity will be <strong>security and compliance</strong>, particularly within a government contracting environment.</p><p>You’ll:</p><ul><li>Drive readiness and ongoing compliance for <strong>CMMC Level 2 and NIST SP 800-171</strong>.</li><li>Support <strong>SOC 2 and PCI DSS</strong> initiatives, including control design, evidence collection, remediation, and audit coordination.</li><li>Take security and infrastructure projects from idea to implementation, managing timelines, stakeholders, vendors, risks, and deliverables.</li><li>Administer and improve security technologies across endpoint protection, IAM, SIEM, MFA, email security, vulnerability management, and logging.</li><li>Lead access reviews, security awareness efforts, phishing simulations, and incident-response tabletop exercises.</li><li>Develop the policies, procedures, and security plans required for compliance, then make sure those controls actually work in the real world.</li><li>Partner with leadership on security risk, vendor reviews, customer requirements, and business decisions.</li><li>Roll up your sleeves alongside the IT team on <strong>Microsoft 365, Entra ID, servers, networking, endpoints, identity, and other infrastructure initiatives</strong>.</li></ul><p><br></p>
<p>We are looking for an experienced Network Engineer to join our client's team here in Austin, Texas, on a long-term contract basis. In this role, you will contribute to the design, maintenance, and optimization of network systems. Collaborating with a team of skilled engineers and project managers, you will play a key part in ensuring seamless network operations and supporting the development of cutting-edge solutions.</p><p> </p><p><strong>Responsibilities:</strong></p><p>• Design and implement network systems tailored to renewable energy installations.</p><p>• Utilize AutoCAD to edit existing templates and create detailed drawings for fiber communication protocols.</p><p>• Develop XML configurations for point creation and data integration.</p><p>• Work with Supervisory Control and Data Acquisition (SCADA) systems to monitor, control, and optimize renewable energy machinery.</p><p>• Perform network module configurations, including IP protocols and real-time sensor data integration.</p><p>• Collaborate with project managers and engineers to ensure efficient system operations and troubleshooting.</p><p>• Provide technical expertise in electrical and mechanical aspects of network systems.</p><p>• Maintain documentation and ensure compliance with industry standards.</p><p>• Support potential fieldwork activities, including commissioning, wire termination, and system checks.</p><p>• Optimize network performance through continuous monitoring and improvements.</p><p><br></p>