<p>Our client is seeking an experienced <strong>Infrastructure Security Engineer</strong> to support and secure a hybrid Microsoft environment spanning both on-premises and cloud platforms. This role is ideal for a hands-on professional with deep experience across traditional server and network infrastructure, along with responsibility for enterprise security tooling, threat monitoring, and ongoing security operations. The organization is currently in a hybrid state and actively transforming to a more cloud-centric environment, so this individual will play a key role in both day-to-day operational security and longer-term modernization efforts. Based on general knowledge.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Manage and secure core infrastructure, including servers, networks, firewalls, switches, VPNs, and related systems in a hybrid on-premises and cloud environment. Based on general knowledge.</li><li>Administer, maintain, and optimize security tools such as endpoint protection, vulnerability management, SIEM, email security, identity and access management, and monitoring platforms. Based on general knowledge.</li><li>Monitor infrastructure and security events, investigate alerts, respond to incidents, and support remediation efforts. Based on general knowledge.</li><li>Partner with infrastructure and leadership teams to strengthen security controls across Microsoft technologies, including Active Directory, Azure, Microsoft 365, and related platforms. Based on general knowledge.</li><li>Support the company’s transition from traditional on-premises infrastructure to cloud-based solutions by helping design and implement secure architectures and best practices. Based on general knowledge.</li><li>Perform vulnerability assessments, patch management coordination, system hardening, and access reviews across servers, endpoints, and network devices. Based on general knowledge.</li><li>Develop and maintain security documentation, standards, procedures, and incident response processes. Based on general knowledge.</li><li>Assist with compliance, audit readiness, and security improvement initiatives. Based on general knowledge.</li><li>Collaborate with internal teams and third-party vendors to ensure reliable infrastructure performance and effective security coverage. Based on general knowledge.</li></ul>
<p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
<p><strong>Robert Half is working with a client who is looking to hire a Machine Learning Engineer</strong> to help operationalize machine learning models as part of a growing enterprise AI program.</p><p>This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.</p><p>Responsibilities</p><ul><li>Develop and deploy machine learning models into production.</li><li>Build reusable ML pipelines for training, testing, deployment, and monitoring.</li><li>Partner with Data Scientists to productionize predictive models.</li><li>Develop APIs and services that expose machine learning capabilities to enterprise applications.</li><li>Monitor model performance, drift, and reliability.</li><li>Build automated testing and deployment processes for ML workloads.</li><li>Optimize model performance and infrastructure utilization.</li><li>Work with Data Engineering teams to establish reliable training and inference datasets.</li></ul><p><br></p>
We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams.<br><br>Responsibilities:<br>• Design and maintain semantic models that support reporting needs across operational and executive audiences.<br>• Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance.<br>• Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs.<br>• Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers.<br>• Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment.<br>• Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery.<br>• Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust.<br>• Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
<p>We are looking for an Electrical Systems Design Engineer to join our team in NW Tampa, FL area. In this role, you will develop industrial electrical system designs for complex equipment projects, working closely with multidisciplinary teams to deliver practical, code-compliant solutions. This position is ideal for an engineer who brings strong design expertise, attention to detail, and the ability to balance technical performance, reliability, and cost considerations throughout the project lifecycle.</p><p><br></p><p>Responsibilities:</p><p>• Direct the development of electrical system designs from initial concept through final release, ensuring alignment with applicable codes, standards, and project expectations.</p><p>• Partner with mechanical engineering, project management, and customer stakeholders to define technical needs and translate them into effective design solutions.</p><p>• Create, revise, and maintain process and instrumentation documentation to support accurate system design and project execution.</p><p>• Evaluate and specify electrical hardware such as motors, variable speed drives, controllers, and sensing devices based on functionality, dependability, and budget targets.</p><p>• Produce complete electrical drawing packages in Eplan, including schematics, enclosure layouts, hookup details, instrument documentation, and bills of materials.</p><p>• Review design feedback from internal and external stakeholders and incorporate updates that improve clarity, quality, and manufacturability.</p><p>• Provide day-to-day technical support and mentorship to less experienced engineers and designers to strengthen team capability and consistency.</p><p>• Assist with sourcing activities by coordinating with suppliers, reviewing technical submittals, and confirming component suitability for project requirements.</p><p>• Take part in design reviews, project discussions, and occasional site visits to communicate status, resolve technical issues, and support successful system integration.NW </p>
We are looking for an Electrical Design Engineer to join a high-tech engineering team in Clearwater, Florida. This position focuses on circuit card and electronic board design for aerospace-related applications, combining hands-on engineering analysis with documentation and layout development. The role also involves diagnosing hardware issues, supporting component lifecycle decisions, and working within regulated design standards. This is a largely independent position with regular collaboration across internal teams and external suppliers.<br><br>Responsibilities:<br>• Create and refine electronic board designs, including schematic development, card layout definition, and supporting design documentation for aerospace hardware.<br>• Interpret technical requirements and translate customer needs into practical electrical design solutions that align with program objectives.<br>• Investigate failures at the circuit board and component level to identify root causes and distinguish hardware-related issues.<br>• Evaluate electronic parts for availability and lifecycle risk, and recommend alternate or replacement components when obsolescence affects existing designs.<br>• Apply industry and regulatory design frameworks, including DO-178C and DO-254 considerations, during development and documentation activities.<br>• Use design tools such as Altium Designer to support schematic capture, board-level design work, and engineering updates.<br>• Partner with suppliers as needed to clarify technical details, review component options, and support material selection.<br>• Split time between desk-based design work and production floor support to assess hardware performance and resolve engineering concerns.
<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>
<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 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.
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 create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency.<br><br>Responsibilities:<br>• Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies.<br>• Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms.<br>• Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases.<br>• Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts.<br>• Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks.<br>• Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions.<br>• Design AI-driven automation that improves workflows and streamlines day-to-day business operations.<br>• Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph.<br>• Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems.<br>• Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
<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>
We are looking for an experienced Artificial Intelligence (AI) Engineer to create practical, scalable AI solutions that help improve business performance and streamline operations in Brookfield, Wisconsin. In this role, you will partner with technical teams and business leaders to turn complex challenges into intelligent applications, machine learning systems, and generative AI capabilities. The ideal candidate brings a strong software engineering foundation along with hands-on experience delivering AI solutions in cloud environments.<br><br>Responsibilities:<br>• Build and implement AI, machine learning, and generative AI solutions that address business and operational needs.<br>• Develop intelligent applications such as virtual assistants, chatbot experiences, copilots, and automated workflows.<br>• Train, evaluate, and refine machine learning models to improve performance, reliability, and business impact.<br>• Create and support retrieval-augmented generation solutions and related applications for knowledge-driven use cases.<br>• Work closely with stakeholders to uncover opportunities where AI can enhance processes, decision-making, and user experiences.<br>• Connect AI capabilities with enterprise systems and cloud-based platforms to enable practical adoption at scale.<br>• Establish model deployment and support practices, including monitoring, governance, and lifecycle management.<br>• Apply security, compliance, and responsible AI standards throughout solution design, development, and release.<br>• Research new AI tools and technologies and recommend options that align with organizational goals.<br>• Produce clear technical documentation covering solution architecture, workflows, and implementation details.
We are looking for an Artificial Intelligence (AI) Engineer to join a Long-term Contract opportunity based in Houston, Texas. This position will focus on creating practical AI solutions that improve business outcomes, from model development through production support. The role blends hands-on engineering with cross-functional collaboration, helping teams adopt AI tools effectively while maintaining strong standards for privacy, security, and reliability.<br><br>Responsibilities:<br>• Build, test, and operationalize machine learning and predictive analytics solutions, ensuring they perform reliably from initial development through production use.<br>• Create and support data pipelines and system integrations that supply clean, usable data for AI models and related applications.<br>• Work with business stakeholders to define use cases, shape AI-driven workflows, and launch solutions using modern AI platforms and assistants.<br>• Provide end-user guidance through training sessions, practical documentation, and direct support so teams can apply AI tools with confidence.<br>• Act as a trusted internal advisor on applied AI by reviewing new technologies and identifying opportunities where they can deliver measurable business value.<br>• Convert business challenges into scalable technical approaches and present findings clearly to both technical teams and non-technical audiences.<br>• Promote responsible AI practices by emphasizing data protection, model quality, governance, and secure usage across initiatives.<br>• Collaborate with IT, data, and operational teams to prioritize, develop, and implement AI projects that align with organizational goals.<br>• Take on additional assignments as needed to support evolving project and business priorities.
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.
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>
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.
Key Responsibilities<br>• Provide Tier 1 and Tier 2 support for end users across voice, data, applications, and desktop systems<br>• Troubleshoot and resolve hardware, software, and network-related issues both remotely and onsite<br>• Support and administer Windows Server environments and Active Directory<br>• Manage and maintain Microsoft 365 (O365) including Exchange, SharePoint, OneDrive, and MFA<br>• Configure, deploy, and support Windows 10/11 workstations and peripherals<br>• Support and troubleshoot LAN/WAN connectivity, VOIP systems, and network devices<br>• Monitor and manage system backups, disaster recovery processes, and infrastructure performance<br>• Lead and participate in IT projects, including site setups, upgrades, and deployments<br>• Evaluate hardware/software needs and recommend solutions aligned with business requirements<br>• Collaborate with vendors, procurement, and internal teams on technology solutions and services<br>• Maintain accurate documentation of systems, processes, and infrastructure<br>• Manage hardware/software inventory and ensure proper asset tracking<br>• Provide technical guidance to team members and act as an escalation point when needed<br>• Deliver regular updates on project status and system performance to leadership
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>Robert Half is seeking an Engineering Technician to support municipal engineering, development review, permitting, and public works activities. This Engineering Technician position provides a combination of office and field technical engineering support, including reviewing construction and subdivision plans, assisting with development review, preparing engineering drawings, supporting field survey activities, and issuing encroachment permits.</p><p>The ideal Engineering Technician candidate will have experience working with civil engineering plans, land development, public works projects, surveying, or municipal engineering and be comfortable working with engineers, contractors, developers, property owners, and the general public. This Engineering Technician role is an Onsite position out of Fairfield and can be Part-time as well.</p><p><br></p><p>Key Responsibilities</p><ul><li>Review subdivision final maps, parcel maps, and construction plans for compliance with City Planning and Engineering requirements and accepted construction practices.</li><li>Review and interpret civil engineering plans associated with streets, utilities, land development, and public infrastructure improvements.</li><li>Prepare engineering plans, specifications, profiles, cross-sections, and related technical drawings.</li><li>Perform horizontal and vertical alignment calculations and other engineering computations supporting:</li><li>Street improvements</li><li>Curb and gutter construction</li><li>Sewer systems</li><li>Water systems</li><li>Storm drainage</li><li>Parks and other public improvement projects</li><li>Assist with the development review process, including review and coordination of plans submitted for private and public improvement projects.</li><li>Process and issue encroachment permits in accordance with City requirements.</li><li>Provide flood zone determinations and respond to requests for general engineering and development information.</li><li>Participate as a member of a field survey crew, gathering and documenting field data for planning, engineering, and public works projects.</li><li>Assist with construction staking, improvement-site surveys, and property boundary surveys.</li><li>Use surveying equipment to obtain accurate field measurements and assist with survey calculations.</li><li>Reproduce, organize, and assemble engineering plans, specifications, maps, and related documents.</li><li>Maintain accurate records associated with engineering drawings, surveys, permits, and field activities.</li><li>Prepare technical documentation and reports as required.</li><li>Coordinate and communicate with City employees, engineers, contractors, developers, property owners, and members of the public.</li><li>Perform other related engineering support duties as assigned.</li></ul><p><br></p>
We are looking for a Senior Quality Assurance Analyst to lead automated testing initiatives supporting critical loan servicing applications in Fort Washington, Pennsylvania. This Long-term Contract position is ideal for someone who can shape enterprise test automation practices, partner across technical and business teams, and improve software quality throughout the development lifecycle. The role focuses on building scalable automation approaches, strengthening release confidence, and delivering measurable improvements in testing efficiency and coverage.<br><br>Responsibilities:<br>• Lead the design and expansion of automated testing solutions for high-priority loan servicing platforms, with an emphasis on reliability, scalability, and business impact.<br>• Establish a practical automation roadmap by selecting suitable tools, defining standards, and aligning testing efforts with broader software delivery objectives.<br>• Develop meaningful performance indicators for automation programs, track outcomes over time, and communicate progress and value to leadership.<br>• Create and maintain structured automation suites such as smoke, sanity, and regression coverage while improving traceability, reuse, and defect reporting practices.<br>• Define approaches for test data preparation, environment stability, and integration of automated execution within CI/CD and DevOps workflows.<br>• Collaborate with product owners, developers, architects, and business stakeholders to prioritize automation opportunities and recommend process enhancements.<br>• Support teams in embedding automated testing within sprint activities and across all stages of the software development life cycle.<br>• Build expertise in the organization’s automation ecosystem and apply proven techniques, frameworks, and best practices to strengthen delivery quality.<br>• Estimate automation effort, timelines, and resource needs to support dependable planning and successful project execution.
We are looking for an Identity Management Solutions Engineer to support complex identity and access initiatives for acquired business environments in Cincinnati, Ohio. This Long-term Contract position focuses on evaluating current identity infrastructures, shaping future-state solutions, and guiding secure migrations into standardized enterprise platforms. The role offers the opportunity to contribute as a senior hands-on engineer while also providing direction to a small domain team when needed.<br><br>Responsibilities:<br>• Lead identity engineering activities for assigned operating company environments, coordinating priorities, validating technical changes, and helping resolve delivery obstacles for a small team when team leadership is part of the assignment.<br>• Analyze existing identity ecosystems by documenting directories, domains, tenants, authentication models, federation methods, and privileged access structures to support broader integration planning.<br>• Create target-state identity architectures, align designs with program stakeholders, and carry approved solutions through implementation.<br>• Evaluate how identity changes affect connected applications, endpoint environments, service accounts, and other dependent systems so transition activities are sequenced appropriately.<br>• Produce effort estimates, define identity work stages, and communicate dependency timing to support integrated project plans and cutover readiness.<br>• Prepare migration and cutover strategies by identifying technical risks, assessing business impact, and establishing rollback approaches before implementation windows begin.<br>• Lead tenant-to-tenant and directory migration efforts, including identity mapping, coexistence planning, trust configuration, synchronization changes, and transition into the enterprise Microsoft 365 environment.<br>• Configure and maintain Entra ID and hybrid identity services, including single sign-on, enterprise applications, Conditional Access, multifactor authentication, and Entra Connect integrations.<br>• Rework identity integrations for applications and non-human identities by updating federation relationships, claims mappings, provisioning connections, service principals, managed identities, and service accounts using least-privilege principles.<br>• Develop repeatable automation for migration and administration tasks using tools such as PowerShell, Python, Microsoft Graph, cloud APIs, and infrastructure-as-code methods where appropriate.
<p>We are looking for a Electrical Design Engineer to support the design and development of electronic products in Largo, Florida. This role is suited for an engineer who enjoys working across product design, testing, and compliance activities while contributing practical solutions in a fast-moving environment. The ideal candidate brings strong technical judgment, hands-on lab experience, and the ability to manage multiple engineering priorities with attention to quality and safety.</p><p><br></p><p>Responsibilities:</p><p>• Develop firmware and support electronic product design activities from concept through validation and release.</p><p>• Create test strategies, verification plans, and supporting procedures to evaluate product functionality, reliability, and performance.</p><p>• Design and refine printed circuit board solutions and related electrical systems for new and existing products.</p><p>• Build or coordinate test fixtures and software tools needed for efficient product evaluation and troubleshooting.</p><p>• Perform hands-on debugging and analysis using laboratory instruments such as oscilloscopes, digital multimeters, and power supplies.</p><p>• Review engineering drawings and technical specifications to ensure designs align with functional, quality, and manufacturing expectations.</p><p>• Support compliance efforts by designing products with applicable safety and regulatory standards in mind.</p><p>• Contribute to product improvement initiatives, including design updates, issue resolution, and cost optimization efforts.</p>