<p>Robert Half is seeking an experienced Cloud Engineer to support the design, implementation, and optimization of enterprise cloud infrastructure. This role will focus on developing scalable, reliable, and secure cloud solutions that support business-critical applications and services. The ideal candidate will have strong experience across public cloud platforms, infrastructure automation, and cloud operations.</p><p><br></p><p><strong>Location:</strong> Hybrid in Portland (Pay to Park)</p><p><strong>Duration:</strong> 6 months with potential to extend/convert</p><p><strong>Schedule:</strong> Monday-Thursday (Onsite), Fridays (Remote) - 8am-5pm PST</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Participate in the architecture, design, and implementation of cloud solutions that meet scalability, performance, security, and reliability requirements.</li><li>Collaborate with technical and non-technical stakeholders to understand business needs and translate requirements into cloud-based solutions.</li><li>Promote best practices across cloud architecture, infrastructure management, security, and operational processes.</li><li>Enable teams to effectively leverage cloud resources while balancing performance, scalability, cost optimization, compliance, and security requirements.</li><li>Drive improvements through automation, Infrastructure as Code (IaC), monitoring, logging, troubleshooting, and operational excellence initiatives.</li><li>Implement and maintain CI/CD pipelines and automated deployment processes.</li><li>Develop and enhance cloud standards, policies, procedures, and governance frameworks.</li><li>Stay current on emerging cloud technologies and industry best practices, recommending improvements that increase efficiency, security, and platform maturity.</li><li>Support cloud infrastructure troubleshooting, performance tuning, and incident resolution.</li></ul>
<p>We are looking for a Cloud Engineer to strengthen and evolve our cloud and identity environment in Independence, Ohio. This role combines solution design with hands-on engineering to support secure, scalable infrastructure across hybrid systems. The ideal candidate will work closely with technical stakeholders to improve governance, enable modernization efforts, and maintain reliable platform operations.</p><p><br></p><p>Responsibilities:</p><p>• Build and support hybrid identity solutions that connect Active Directory, Microsoft Entra ID, and Okta across enterprise environments.</p><p>• Develop and enforce secure access models using Conditional Access, privileged access controls, and governance practices that align with compliance expectations.</p><p>• Engineer Azure infrastructure components, including network topology, segmentation, and connectivity between cloud and on-premises systems.</p><p>• Drive the planning and execution of workload migrations from local infrastructure into Azure while maintaining stability and security.</p><p>• Administer cloud security services, certificates, and monitoring capabilities to protect platform resources and improve visibility.</p><p>• Partner with leadership and cross-functional teams to establish cloud standards, deployment practices, and cost management approaches.</p><p>• Contribute to the design and protection of internal AI-related infrastructure in Azure, including access management for emerging platform services.</p><p>• Troubleshoot issues involving cloud services, identity platforms, and network connectivity, and document architecture and operating procedures clearly.</p><p>• Participate in recurring infrastructure maintenance and lifecycle activities to support system performance, reliability, and compliance.</p>
<p>We are seeking an Azure Cloud Engineer to design, implement, and support scalable, secure, and highly available Azure cloud environments. This role will be responsible for cloud infrastructure deployments, migrations, automation, monitoring, and optimization while partnering with infrastructure and security teams to implement cloud best practices.</p>
We are looking for an accomplished Director of Data Science to lead enterprise data strategy and build strong governance, quality, and management practices across the organization. This role will partner with leaders in business and technology to ensure data is reliable, secure, and readily available to support operational performance and long-term planning. The ideal candidate brings a strategic mindset, strong leadership capability, and deep experience guiding teams through data-driven improvement initiatives.<br><br>Responsibilities:<br>• Shape and execute a company-wide data strategy that aligns data capabilities with business priorities and measurable outcomes.<br>• Direct governance programs that strengthen data ownership, stewardship, quality standards, and policy adherence across functions.<br>• Collaborate with cross-functional leaders to expand the use of trusted data in planning, analysis, and decision-making.<br>• Establish and refine controls, workflows, and standards that improve data accuracy, consistency, security, and regulatory compliance.<br>• Lead data-focused initiatives from planning through delivery, ensuring priorities, timelines, and results remain on track.<br>• Mentor and develop data professionals while promoting a culture of accountability, collaboration, and continuous learning.<br>• Track key performance indicators for data health and operational effectiveness, then recommend improvements based on findings.<br>• Support enterprise reporting, business intelligence, and broader data modernization efforts, including large-scale transformation initiatives when needed.
<p>**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my office number at 424-270-9193****</p><p><br></p><p>We are looking for a Data Migration Specialist to support a long-term contract engagement in Downey, California. This position focuses on data migration execution, configuration support, and analysis activities tied to large enterprise system implementation efforts. The ideal candidate brings strong database knowledge, disciplined documentation habits, and the ability to work effectively within a structured, client-facing project environment.</p><p><br></p><p>Responsibilities:</p><p>• Lead data migration activities for large-scale enterprise system implementation projects, ensuring accuracy, completeness, and alignment with target data structures.</p><p>• Create and maintain configuration tables while translating legacy data values into standardized formats required by the new environment.</p><p>• Perform detailed variance analysis on payroll-related data to identify discrepancies, document findings, and group root causes for resolution planning.</p><p>• Apply strict version control practices and follow peer quality review procedures to maintain reliable project deliverables and audit readiness.</p><p>• Coordinate operational follow-ups with stakeholders and communicate status updates clearly while escalating issues through established project channels.</p><p>• Support database-related analysis and validation tasks using structured methods that improve data quality and implementation readiness.</p><p>• Maintain organized trackers, documentation, and status records to support project visibility, accountability, and timely delivery.</p><p>• Contribute to a focused team environment by meeting project expectations for punctuality, preparedness, and adherence to workplace standards.</p>
<p>We are looking for a skilled Automation Engineer to join our dynamic team in Torrington, Connecticut. In this role, you will play a pivotal part in advancing our infrastructure through automation, ensuring seamless operations and enhanced reliability. You will have the opportunity to work on cutting-edge technologies and contribute to modernizing our systems.</p>
<p>We are looking for an Data Analysis Manager to support a economic consulting team with data-driven research and client-focused analysis in Washington, District of Columbia. This position is ideal for an early-career candidate with strong quantitative skills who enjoys working with large public datasets and translating findings into clear, useful insights. The role offers the opportunity to contribute to reports, presentations, and policy-related research in a collaborative environment with economists and consulting staff.</p><p><br></p><p>Responsibilities:</p><p>• Gather information from publicly available databases, prepare datasets for use, and perform detailed quantitative analysis to support consulting engagements.</p><p>• Develop accurate and timely materials for clients, ensuring project updates and final outputs are delivered in a clear and effective manner.</p><p>• Interpret data trends and economic findings to help inform client decisions related to policy matters and market developments.</p><p>• Produce written content such as research summaries, reports, thought leadership pieces, and other analytical documents.</p><p>• Communicate project progress and findings to clients through calls, virtual presentations, and in-person discussions when needed.</p><p>• Partner with senior economists and other team members on research tasks, data requests, and day-to-day project coordination.</p><p>• Create charts, tables, and presentation materials that communicate complex information in an accessible format using Excel and PowerPoint.</p><p><br></p><p>All interested candidates in the Data Analysis Manager<strong> </strong>opportunity and other full time opportunities in the Washington, D.C. area please send your resume to Justin Decker via LinkedIn </p>
<p>Our client is seeking a <strong>Data Governance Analyst</strong> to support enterprise data management and governance initiatives. This role works closely with business and technology stakeholders to improve data quality, maintain governance standards, and ensure data assets are well-defined, documented, and managed across the organization.</p><p><br></p><p>Responsibilities</p><ul><li>Support data governance and enterprise data management initiatives.</li><li>Collaborate with business and technical teams to define, document, and maintain metadata, data definitions, and business glossaries.</li><li>Perform data analysis, profiling, validation, and reconciliation activities across multiple data sources.</li><li>Identify data quality issues, document findings, and support remediation efforts.</li><li>Maintain governance documentation, meeting records, processes, and related artifacts.</li><li>Assist with data stewardship activities, governance forums, workshops, and change management efforts.</li><li>Promote data literacy, data quality, and standardized data management practices across the organization.</li><li>Develop actionable insights and recommendations through analysis and investigation of data-related issues.</li></ul><p><br></p>
<p>We are looking for an AI Data Analyst to join our team in Greater Milwaukee. In this role, you will turn business challenges into practical data, automation, and AI solutions that improve daily operations and support stronger decision-making. You will work closely with internal stakeholders to evaluate processes, uncover meaningful insights, and deliver scalable tools that align technology with organizational goals. <strong>This role requires the candidate to be onsite, with a hybrid schedule.</strong></p><p><br></p><p>Responsibilities:</p><p>• Create and launch AI-enabled processes, tools, and agents that streamline operational activities and improve team productivity.</p><p>• Develop and support connections between internal applications and third-party platforms using APIs, data flows, and related integration methods.</p><p>• Evaluate business and operational data to surface patterns, identify gaps, and recommend opportunities for process improvement.</p><p>• Produce dashboards, reporting assets, and analytical tools that help teams monitor performance and make informed decisions.</p><p>• Partner with stakeholders across the organization to gather requirements, define success measures, and convert business needs into technical solutions.</p><p>• Test, refine, and deploy solutions in real-world environments, making ongoing enhancements based on user feedback and results.</p><p>• Investigate and resolve issues involving systems, workflows, and integrations to maintain reliable performance.</p><p>• Promote sound practices for data quality, governance, security, and long-term scalability across tools and workflows.</p><p>• Build a strong understanding of company operations, systems, and industry-specific processes to ensure solutions are accurate and relevant.</p>
<p>We are looking for an experienced DevOps Engineer to support infrastructure automation and cloud engineering initiatives for a leading FMCG organization out of Madison, WI. This Long-term Contract position focuses on building and refining Terraform modules, managing code repositories and deployment pipelines in Azure DevOps, and contributing to scalable cloud solutions across AWS-based environments. The ideal candidate brings strong hands-on experience in infrastructure as code, CI/CD practices, and modern cloud services within a fast-paced technical setting.</p><p><br></p><p>Responsibilities:</p><p>• Develop, enhance, and maintain reusable Terraform modules to standardize and automate infrastructure provisioning.</p><p>• Manage source control workflows and deployment pipelines using Azure DevOps to support reliable delivery practices.</p><p>• Build and support cloud infrastructure across AWS services, including compute, storage, and serverless components.</p><p>• Configure and maintain platform components such as EC2, S3, Lambda, load balancers, and API gateway services.</p><p>• Collaborate with engineering teams to implement container-based deployment strategies and improve environment consistency.</p><p>• Apply DevOps best practices to strengthen automation, release efficiency, and operational stability.</p><p>• Support integration of cloud data and application services where needed, including tools such as AWS Glue.</p><p>• Troubleshoot infrastructure and pipeline issues, ensuring dependable performance across development and deployment environments.</p>
<p>We are seeking a Lead Data Architect with deep expertise in digital commerce, product data architecture, and Adobe Commerce to lead the evolution of an enterprise product data ecosystem.</p><p><br></p><p>This role is ideal for someone who thrives at the intersection of product information, commerce architecture, and data governance. You will own the technical architecture for customer-facing product data, helping define how product information is modeled, governed, and delivered across digital commerce platforms.</p><p><br></p><p>The ideal candidate brings a strong background in **Product Content Management (PCM), Product Information Management (PIM), Adobe Commerce, and enterprise data architecture**, with the ability to improve existing solutions while designing a scalable future-state architecture.</p><p><br></p><p>Responsibilities</p><p>* Lead the architecture and strategy for customer-facing product data across digital commerce platforms.</p><p>* Serve as the technical owner for Product Content Management (PCM) and Adobe Commerce architecture.</p><p>* Design scalable product data models that support configurable products, product variants, bundles, kits, and complex product relationships.</p><p>* Partner with Data Governance teams to improve data quality, stewardship, ownership, and consistency.</p><p>* Define and optimize integrations between Adobe Commerce, ERP systems, PIM platforms, and content management systems.</p><p>* Evaluate existing commerce architecture, identify gaps, and develop practical solutions that build upon current investments.</p><p>* Improve product data structures to support personalization, customer-facing experiences, and future digital capabilities.</p><p>* Collaborate with business and technical stakeholders to establish governance standards and long-term architecture strategy.</p><p>* Provide hands-on architecture leadership while guiding enterprise product data initiatives.</p><p><br></p><p>**First 30 Days**</p><p>* Assess the current product data architecture and identify data quality and integration gaps.</p><p>* Document workarounds and prioritize improvements based on business value and technical risk.</p><p>* Develop remediation recommendations for the highest-priority issues.</p><p><br></p><p>**First 90 Days**</p><p>* Define and socialize the target-state architecture.</p><p>* Establish a clear vision for product data governance and digital commerce integration.</p><p>* Influence enterprise PIM planning and architectural direction.</p><p><br></p><p>**First 12 Months**</p><p>* Deliver a more stable, governed, and scalable product data architecture.</p><p>* Establish a well-defined integration strategy between digital commerce platforms and enterprise product data systems.</p><p>* Remove key product data constraints that enable future digital commerce capabilities.</p><p><br></p><p><br></p>
<p>We are looking for a Google Cloud Engineer to support secure, scalable, and reliable cloud environments for teams building advanced technology solutions in Salt Lake City, Utah. This is a Contract position focused on strengthening production infrastructure, improving automation, and enabling high-performing engineering and data workflows on Google Cloud. The ideal candidate brings deep experience with a systems administration or applications background compared to only DevOps experience.</p><p><br></p><p>Responsibilities:</p><p>• Architect, deploy, and support production services on Google Cloud with an emphasis on resilience, security, performance, and cost efficiency.</p><p>• Build and maintain infrastructure components across compute, storage, databases, messaging, serverless platforms, and Kubernetes-based environments.</p><p>• Develop and enhance CI/CD pipelines and automation workflows to provision, validate, and release infrastructure and application changes safely.</p><p>• Implement Infrastructure as Code using Terraform and establish guardrails that reduce risk, improve consistency, and support controlled change management.</p><p>• Strengthen cloud foundations by defining and applying standards for identity access, private networking, firewall controls, secrets management, and data protection.</p><p>• Improve platform observability through monitoring, logging, tracing, and cost reporting, and use insights to optimize service health and operational visibility.</p><p>• Respond to incidents, investigate root causes, refine alerting and service objectives, and improve backup, recovery, and capacity planning practices.</p><p>• Partner with security, platform, data, and application teams to review architecture decisions, operational readiness, and risk before production launches.</p><p>• Guide engineering teams on Google Cloud best practices, sustainable operational processes, and effective use of automation across the delivery lifecycle.</p>
<p>We are looking for a skilled Desktop Engineer to join our team in Fort Myers/Naples area in Florida. In this role, you will be responsible for managing software deployments, troubleshooting technical issues, and maintaining system security across enterprise environments. This is a fully on-site long-term contract position offering the opportunity to contribute to essential IT operations in the rental/leasing services industry.</p><p><br></p><p>Responsibilities:</p><p>• Create, test, and deploy software packages using Tanium and other platforms to ensure successful rollouts.</p><p>• Troubleshoot deployment failures and escalate critical issues when necessary to maintain business operations.</p><p>• Take ownership of support tickets, resolving issues independently and collaborating with IT teams and end users.</p><p>• Develop and test software packages using PowerShell App Deployment Toolkit for compatibility and functionality.</p><p>• Perform quarterly updates of endpoint protection tools and manage Java updates to enhance system security.</p><p>• Collaborate with the Vulnerability Management Team to address high-risk security vulnerabilities effectively.</p><p>• Document deployment processes, troubleshooting steps, and system configurations to support organizational knowledge.</p><p>• Monitor third-party automation tools and workflows to ensure consistent operation.</p><p>• Analyze and provide feedback on technical solutions to improve IT processes and align with industry standards.</p>
<p>We are seeking a <strong>Desktop Engineer</strong> with strong experience supporting and managing enterprise desktop environments in a <strong>Windows 11</strong> setting. This role requires deep technical knowledge of modern endpoint management, with <strong>Intune</strong> serving as the primary focus. The ideal candidate will also bring experience with <strong>SCCM</strong>, Windows imaging, Microsoft 365, and service desk operations in a co-managed environment.</p><p>Key Responsibilities</p><ul><li>Provide engineering and operational support for enterprise desktop environments</li><li>Manage and support <strong>Windows 11</strong> devices across a co-managed environment</li><li>Administer and support <strong>Microsoft Intune</strong> for endpoint configuration, deployment, compliance, and policy management</li><li>Support <strong>SCCM</strong> for software deployment, patching, and systems management</li><li>Perform and maintain <strong>Windows imaging</strong> processes for desktop and laptop deployments</li><li>Support and troubleshoot <strong>Office 365 / Microsoft 365</strong> environments</li><li>Manage endpoint devices and ensure consistent performance, security, and compliance</li><li>Work within a <strong>service desk/ticketing system</strong> to resolve escalated desktop support issues</li><li>Support hybrid identity environments, including <strong>Hybrid Active Directory</strong> and <strong>Entra ID</strong></li><li>Collaborate with internal teams on desktop engineering initiatives, upgrades, and endpoint modernization efforts</li></ul><p>Required Qualifications</p><ul><li>Strong depth of experience with <strong>Windows OS</strong>, specifically in a <strong>Windows 11</strong> environment</li><li>Hands-on experience with <strong>Intune</strong>; this is the primary requirement for the role</li><li>Experience with <strong>SCCM</strong></li><li>Experience with <strong>Windows imaging</strong></li><li>Knowledge of <strong>Office 365 / Microsoft 365</strong></li><li>Experience in <strong>endpoint management</strong></li><li>Prior <strong>service desk and ticketing</strong> experience</li><li>Experience supporting enterprise desktop environments in a structured IT setting</li></ul><p><br></p><p><br></p>
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI</li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul>
We are looking for a Data Security Analyst to support and strengthen email and messaging security operations for a Contract position based in Chicago, Illinois. This role focuses on protecting the organization from phishing, malware, impersonation, and other email-borne threats while improving the reliability and security of mail delivery. The ideal candidate brings deep experience with Proofpoint, hybrid messaging environments, and user-focused security practices, along with the ability to communicate clearly across technical and non-technical teams.<br><br>Responsibilities:<br>• Investigate and resolve complex email security and delivery issues, including routing failures, encryption challenges, quarantine events, and user-reported security concerns.<br>• Review dashboards, system logs, and alert activity to identify and respond to phishing attempts, malware incidents, spoofing, and impersonation threats.<br>• Administer and optimize Proofpoint Essentials and related integrations to maintain strong protection across the messaging environment.<br>• Configure and maintain email security controls, including encryption settings, policy rules, and quarantine management processes.<br>• Lead initiatives involving Proofpoint enhancements, platform updates, and rollout of new security capabilities.<br>• Develop clear guidance and training materials for IT teams and end users on secure email practices and available protection tools.<br>• Support security awareness efforts by helping manage phishing simulation activities and user education programs.<br>• Collaborate with broader security operations by connecting email security insights with SIEM platforms and other enterprise security tools where applicable.
<p><strong>Database Administrator III</strong></p><p><strong>Location: Remote, Based out of Alpharetta, GA</strong></p><p><strong>Duration: Through 6-month contract, extensions likely</strong></p><p><br></p><p>We are looking for an experienced Database Administrator III to support database operations, complete database projects, and provide technical administration across production and development environments. The role requires deep MySQL production replication experience, cloud database knowledge, and a DevOps-focused approach to database stability, reliability, performance, and automation.</p><p><br></p><p><strong><u>Responsibilities</u></strong>:</p><ul><li>Support MySQL database management systems and related software </li><li>Design and build database environments </li><li>Develop estimates and schedules for new projects and system extensions </li><li>Provide database administration across development and production environments </li><li>Support MySQL production replication </li><li>Improve database stability, reliability, security, and performance </li><li>Expand database monitoring and observability capabilities </li><li>Automate database administration and operational processes </li><li>Support critical database issues during evenings or weekends as part of an on-call rotation </li><li>Manage multiple assignments and additional responsibilities </li></ul><p><br></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 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><strong>AI Lead Engineer</strong></p><p><br></p><p><strong>Skills:</strong></p><p>• Proactive self-starter with excellent interpersonal, communication, and customer service skills.</p><p>• Expert-level AI/ML and full-stack development skills, with strong hands-on experience building and integrating backend services and frontend applications using modern frameworks such as Node.js and React. Strong emphasis on clean, maintainable, reproducible, well-tested, and well-documented code.</p><p>• Ability to manage multiple tasks and projects simultaneously.</p><p>• Collaborative team player with a focus on achieving common goals.</p><p>• Meticulous attention to detail.</p><p>• Quick learner with a passion for staying current with emerging technologies and industry trends.</p>
We are looking for a skilled Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This role offers the opportunity to design and implement innovative AI solutions while collaborating with cross-functional teams to drive impactful results. As a Contract to permanent position, this role provides a pathway to long-term growth and development within our organization.<br><br>Responsibilities:<br>• Build, train, and refine machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras.<br>• Integrate AI-driven solutions into existing on-premises applications to enhance functionality and performance.<br>• Explore and experiment with large language models (LLMs) and agent-based coding tools to optimize internal automation and analytics workflows.<br>• Process, engineer, and evaluate data from diverse internal sources, including structured and unstructured datasets.<br>• Collaborate with teams across departments to ensure compliance with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) standards.<br>• Partner with analysts, investigators, and IT staff to identify opportunities where AI can provide operational improvements.<br>• Participate in coding reviews and testing processes to ensure high-quality deliverables.<br>• Stay updated on emerging AI technologies and prototype new tools while adhering to data governance standards.<br>• Contribute to the continuous improvement of AI systems and processes by identifying areas for innovation and optimization.
<p>A Tulsa based company is looking for an AI Engineer. You will help shape the future of intelligent automation and enterprise technology by developing AI-driven solutions that improve operational efficiency, enhance customer experience, and support large-scale managed services environments. In this role, you will work closely with Automation Engineers to design, develop, and implement AI models and algorithms that strengthen service offerings, expand automation capabilities, and support scalable enterprise solutions. You will also collaborate cross-functionally with engineering, operations, and technology teams to identify opportunities for AI-driven improvements and business innovation. </p><p>If you enjoy working in fast-paced environments and are excited by emerging technologies and partnering across teams, please apply today. </p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and deploy AI models and algorithms to solve business challenges</li><li>Partner with Automation Engineers to integrate AI solutions into existing systems and workflows</li><li>Analyze, clean, and preprocess data to ensure quality and relevance for AI applications</li><li>Research and evaluate emerging AI technologies, including generative AI and machine learning solutions, to support innovation</li><li>Contribute to the testing, evaluation, and adoption of generative AI and large language model (LLM) technologies</li><li>Help build scalable AI workflows and integrate AI capabilities into enterprise systems and operational processes</li><li>Deliver reliable, effective AI solutions that support high levels of customer satisfaction</li><li>Document AI processes and maintain accurate records of model development, testing, and deployment</li><li>Support AI solutions designed for large-scale enterprise environments across industries such as retail, healthcare, finance, utilities, and energy</li></ul><p><br></p><p><br></p>
<p>Robert Half is hiring! We are looking for a Sr/Lead/Principal Engineer that has experience in agentic workflows. This role focuses on building intelligent, production-ready applications that combine modern AI capabilities with reliable full-stack engineering. The ideal candidate will contribute across architecture, development, deployment, and operational support while partnering closely with product, design, and infrastructure teams.</p><p><br></p><p>Responsibilities:</p><p>• Lead complete product delivery efforts, guiding solutions from concept and design through deployment and ongoing improvement.</p><p>• Create and refine agentic AI workflows that support practical business use cases and integrate effectively with broader application ecosystems.</p><p>• Develop scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or with Node.js frameworks including Express or NestJS.</p><p>• Build and support RESTful and GraphQL interfaces that enable secure, efficient communication between services and user-facing applications.</p><p>• Enhance front-end experiences in React, ensuring strong connectivity between interface components and backend systems.</p><p>• Architect and maintain microservices and distributed application components with a focus on reliability, scalability, and maintainability.</p><p>• Improve system efficiency by tuning application performance, refining database interactions, and managing cloud resource consumption responsibly.</p><p>• Apply strong security practices by implementing access controls, authentication methods, and authorization standards across the platform.</p><p>• Support automated delivery processes through CI/CD pipelines and containerized deployments using Docker and related tooling.</p><p>• Investigate, troubleshoot, and resolve production issues in cloud environments while collaborating with cross-functional stakeholders.</p>
<p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to create and deliver intelligent capabilities that strengthen a SaaS product within the finance consulting space. This position partners with product, data, and engineering teams to turn business needs into practical AI and machine learning solutions. The ideal candidate brings strong hands-on experience with production ML systems, a thoughtful approach to scalable architecture, and a focus on building features that improve user outcomes and operational efficiency.</p><p><br></p><p><strong>The best candidate for this role is someone that is still a hands on coder. We are looking for back end software engineers that also have skills and a passion for AI. </strong></p><p><br></p><p>Responsibilities:</p><p>• Create and launch AI and machine learning solutions that support product functionality, workflow automation, and data-driven decision-making across the platform.</p><p>• Build end-to-end ML workflows that cover data preparation, feature development, model training, validation, deployment, and ongoing performance oversight.</p><p>• Collaborate with product managers, software engineers, and data professionals to identify high-impact use cases for intelligent automation and advanced analytics.</p><p>• Develop generative AI applications such as content summarization, recommendation engines, classification tools, and agent-based experiences while balancing response speed, quality, and operating cost.</p><p>• Connect trained models to cloud-based production environments through APIs, service-oriented components, and containerized deployment patterns.</p><p>• Assess external AI platforms, libraries, and vendor solutions to determine their value for product enhancement and engineering productivity.</p><p>• Apply responsible AI practices by supporting model stability, bias awareness, data privacy, and security expectations throughout the development lifecycle.</p><p>• Maintain clear technical documentation, structured experiment records, and repeatable development processes that support transparency and collaboration.</p><p>• Track emerging trends in machine learning, large language models, and SaaS engineering to recommend improvements to tools, architecture, and delivery methods.</p>
<p>We are looking for an experienced AI Program Manager to lead enterprise AI and automation initiatives in Lake Forest, Illinois. This role will shape the direction of a digital workforce program, identify high-impact use cases, and guide solutions from initial evaluation through deployment and ongoing optimization. The position partners closely with business stakeholders and technical teams to expand AI adoption, deliver measurable operational value, and assess emerging technologies that support long-term innovation.</p><p><br></p><p>Responsibilities:</p><p>• Direct the enterprise digital workforce program across intake, prioritization, solution governance, implementation oversight, change enablement, and platform support activities.</p><p>• Partner with business leaders and technical teams to uncover automation and agentic AI opportunities that improve efficiency, reduce costs, and strengthen operational outcomes.</p><p>• Design end-to-end AI and automation solution approaches using platforms such as Bedrock, Databricks, and other approved enterprise AI environments.</p><p>• Evaluate the existing automation portfolio and determine whether solutions should be retired, redesigned, or rebuilt to align with modern AI capabilities.</p><p>• Lead adoption efforts for tools such as Microsoft 365 Copilot and Claude Enterprise by creating enablement strategies, user education plans, and engagement programs.</p><p>• Establish and grow a network of AI champions across the organization to encourage practical usage, increase confidence, and accelerate business adoption.</p><p>• Monitor program performance through recurring reporting that tracks participation, outcomes, and business value tied to capacity gains, cost impact, and revenue contribution.</p><p>• Research developing trends in AI and automation, assess enterprise applicability, and run structured pilots that inform future roadmap decisions.</p><p>• Guide and mentor AI Solution Analysts by overseeing process assessments and ensuring documentation and design deliverables meet business and audit standards.</p>