<p><strong>Software Automation Engineer IV</strong></p><p><strong>Location: </strong>Remote, East Coast hours</p><p><br></p><p>We are seeking a senior-level <strong>Automation Engineer IV</strong> to help accelerate the development, deployment, and adoption of AI-enabled solutions across the enterprise. This role will sit at the intersection of <strong>Python engineering, automation, machine learning, software quality, and AI enablement</strong>, helping move AI and ML use cases from development and experimentation into reliable, scalable production environments.</p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><ul><li>Help operationalize <strong>AI and machine learning solutions</strong>, moving models and AI-enabled applications from development into scalable production environments.</li><li>Develop reusable frameworks, utilities, and automation that make it easier for application teams to <strong>integrate and deploy AI capabilities</strong>.</li><li>Build Python-based services, scripts, APIs, and automation workflows supporting AI and ML use cases.</li><li>Partner with technical teams to identify opportunities where <strong>AI can improve existing applications, processes, testing, and operational workflows</strong>.</li><li>Establish repeatable development, testing, deployment, and monitoring practices for AI-enabled applications.</li><li>Code, test, document, implement, and support new or modified machine learning systems supporting a broad range of clinical and enterprise use cases.</li><li>Evaluate emerging technologies and recommend opportunities to reuse existing capabilities versus building new solutions.</li><li>Partner with various SOC Leaders, technical owners, and stakeholders to understand operational challenges and automation opportunities.</li></ul><p>Design, build, and deploy AI-powered solutions such as:</p><ul><li>AI triage bots</li><li>Watchlist automation</li><li>Incident response automation</li><li>Security operations workflows</li><li>AI agents and intelligent automation tools</li><li>Build solutions end-to-end, from requirements gathering through deployment and support.</li><li>Participate in architectural design and technical decision-making.</li><li>Integrate AI and automation tools into existing enterprise systems and workflows.</li><li>Improve SOC efficiency by reducing false positives, manual effort, and administrative tasks.</li><li>Develop software solutions utilizing AWS services and APIs.</li><li>Collaborate across security, engineering, and operations teams.</li></ul>
<p>We are seeking a results-driven <strong>Marketing Automation Manager</strong> to lead the strategy, execution, and optimization of marketing automation initiatives that drive lead generation, customer engagement, and revenue growth. This individual will oversee marketing automation platforms, CRM integrations, lead nurturing programs, email marketing campaigns, customer journeys, and marketing analytics while collaborating closely with marketing, sales, operations, and technology teams.</p><p>The ideal candidate combines technical expertise with strategic thinking and has experience leveraging automation tools to improve campaign performance, data quality, and customer experience.</p><p>Key Responsibilities</p><p>Marketing Automation Strategy</p><ul><li>Develop and execute marketing automation strategies that support business growth objectives and customer acquisition goals.</li><li>Design and optimize lead nurturing programs, lifecycle marketing campaigns, and customer journeys.</li><li>Identify opportunities to improve marketing efficiency through automation, personalization, and process enhancements.</li><li>Establish best practices for campaign execution, segmentation, and audience targeting.</li></ul><p>Platform Management & Optimization</p><ul><li>Serve as the primary administrator and subject matter expert for marketing automation platforms such as:</li><li>HubSpot</li><li>Marketo</li><li>Salesforce Marketing Cloud</li><li>Pardot (Marketing Cloud Account Engagement)</li><li>Eloqua</li><li>Configure and maintain workflows, forms, landing pages, lead scoring models, and automated communications.</li><li>Manage integrations between CRM, marketing automation, and third-party systems.</li><li>Ensure platform functionality, user adoption, and ongoing optimization.</li></ul><p>Campaign Execution</p><ul><li>Build, deploy, and monitor multi-channel campaigns including:</li><li>Email marketing</li><li>Lead nurture programs</li><li>Event promotions</li><li>Customer onboarding programs</li><li>Re-engagement initiatives</li><li>Collaborate with content, creative, and demand generation teams to execute marketing campaigns.</li><li>Perform quality assurance testing to ensure flawless campaign deployment.</li></ul><p>Data Management & Analytics</p><ul><li>Monitor and maintain data quality, segmentation, and database health.</li><li>Develop lead scoring and lead routing processes in partnership with Sales Operations.</li><li>Analyze campaign performance and customer engagement metrics.</li><li>Create dashboards and reporting to measure:</li><li>Lead generation</li><li>Conversion rates</li><li>Pipeline influence</li><li>Revenue contribution</li><li>Marketing ROI</li><li>Make data-driven recommendations to improve campaign effectiveness.</li></ul><p>Cross-Functional Collaboration</p><ul><li>Partner closely with Sales, Revenue Operations, IT, and Business Intelligence teams.</li><li>Support CRM strategy and alignment between sales and marketing processes.</li><li>Train stakeholders on marketing automation best practices and platform capabilities.</li><li>Act as a thought leader for marketing technology and automation innovation.</li></ul>
We are looking for an Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment.<br><br>Responsibilities:<br>• Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations.<br>• Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform.<br>• Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support.<br>• Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards.<br>• Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably.<br>• Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge.<br>• Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow.<br>• Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights.<br>• Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads.<br>• Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
<p>We are seeking a <strong>QA Automation Engineer</strong> to help ensure the quality, reliability, and performance of software applications through automated and manual testing. This role will work closely with developers, business analysts, and other technology teams to identify issues early, improve testing processes, and build scalable automated testing solutions.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain automated test scripts and frameworks for web and software applications.</li><li>Create and execute automated, functional, regression, integration, and API tests.</li><li>Develop detailed test plans, test cases, and test scenarios based on business and technical requirements.</li><li>Perform manual testing when needed to validate functionality and investigate issues.</li><li>Identify, document, and track software defects through resolution.</li><li>Analyze test results and work with development teams to troubleshoot and resolve issues.</li><li>Participate in requirements and design reviews to identify potential quality issues early in the development process.</li><li>Build and maintain reusable automated testing components and frameworks.</li><li>Integrate automated testing into CI/CD pipelines and support continuous testing practices.</li><li>Test application integrations, data flows, APIs, and system interfaces.</li><li>Perform database validation and use SQL to verify data accuracy and integrity.</li><li>Help improve overall QA processes, standards, documentation, and testing methodologies.</li><li>Collaborate with cross-functional teams in an Agile/Scrum environment.</li><li>Monitor test coverage and identify opportunities to expand automation and improve efficiency.</li><li>Support production issue investigations and regression testing following application changes or releases.</li></ul><p><br></p>
We are looking for an Automation Engineer to drive complex product development efforts from early planning through full production readiness in Bethlehem, Pennsylvania. This role partners with technical and business teams to keep programs on schedule, control project costs, and align deliverables with quality and compliance expectations. The ideal candidate brings strong automation expertise and a practical approach to coordinating work across multiple stakeholders.<br><br>Responsibilities:<br>• Lead automation-focused product development projects from initial concept through launch using a structured phase-based methodology.<br>• Coordinate engineering, operations, quality, and business partners to keep deliverables aligned with scope, timing, and performance targets.<br>• Build and maintain project plans, monitor milestones, and address risks early to reduce delays and cost overruns.<br>• Support development and execution of automated solutions using tools such as Selenium and PowerShell where appropriate.<br>• Collaborate with continuous integration processes to improve testing efficiency, deployment readiness, and overall workflow reliability.<br>• Translate technical objectives and business needs into actionable project activities that support successful production introduction.<br>• Ensure new solutions satisfy functional expectations as well as applicable regulatory, technical, and organizational standards.<br>• Contribute to data center and operational automation initiatives that strengthen system consistency, scalability, and supportability.
We are looking for an Automation Engineer to support and advance the technical performance of production and facility systems in Bethlehem, Pennsylvania. This role is responsible for maintaining reliable engineering operations across audio, video, IT-connected infrastructure, and site systems while helping improve overall functionality. The ideal candidate brings strong automation expertise and a hands-on approach to equipment support, system optimization, and live production readiness.<br><br>Responsibilities:<br>• Manage day-to-day technical operations for production and facility infrastructure, ensuring dependable system performance and uptime.<br>• Supervise engineering activities spanning broadcast or production technology, studio environments, integrated IT systems, and building-related technical assets.<br>• Coordinate the configuration and operation of audio and video systems for live events and recorded productions to deliver high-quality output.<br>• Lead the installation, troubleshooting, repair, and preventive maintenance of sound, video, and related control equipment.<br>• Develop and enhance automation solutions that improve workflows, monitoring, and operational efficiency across technical environments.<br>• Support system integration efforts involving data center operations, scripting, and connected production technologies.<br>• Partner with internal stakeholders to maintain compliance with organizational and technical standards across engineering operations.
<p>We are looking for an Agentic AI Orchestration Architect to join a Contract engagement supporting a retail visual production team in Corte Madera, California. In this role, you will assess how work moves across creative operations, connect existing AI-driven tools into a cohesive orchestration framework, and deliver practical improvements that can be adopted quickly. This position is ideal for a consultant who can combine technical architecture, workflow design, and stakeholder collaboration to build a scalable foundation for agentic AI in production environments.</p><p><br></p><p>Responsibilities:</p><p>• Lead onsite discovery sessions with a visual production team to analyze current processes, decision points, dependencies, and operational slowdowns.</p><p>• Design an orchestration approach that connects existing AI agents, automations, and platform-specific workflows into a unified operating model without replacing effective solutions unnecessarily.</p><p>• Deliver early-stage process enhancements that improve day-to-day production efficiency while defining a broader roadmap for long-term agentic AI adoption.</p><p>• Create a standardized work-order and state-management framework that tracks identifiers, assets, revisions, routing logic, ownership, approvals, and auditability across the workflow.</p><p>• Build rules-based routing and human review checkpoints, including support for manual status updates tied to production milestones such as studio shoots and print approvals.</p><p>• Develop notification and monitoring mechanisms that provide clear visibility into task readiness, delays, exceptions, and blocked work across the end-to-end process.</p><p>• Integrate tools such as Figma, Google Workspace, Box, and shared file environments using APIs, webhooks, and related connectivity patterns.</p><p>• Implement safeguards that carry upstream changes through dependent downstream activities in a controlled and reliable manner.</p><p>• Produce system documentation, train users on the operating model, and hand over a practical runbook with a prioritized backlog for future enhancements.</p>
<p>We’re seeking an Automation Developer to design, build, and optimize automation solutions that drive operational efficiency and improve business outcomes. This role focuses on developing secure, scalable applications and workflows using Microsoft Power Platform, RPA technologies, API integrations, and emerging AI capabilities. You'll collaborate closely with both technical teams and business stakeholders to deliver reliable, well-governed solutions that support organizational goals.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and enhance automation workflows and business applications using Microsoft Power Platform, RPA tools, and related technologies.</li><li>Integrate APIs, AI services, and other modern technologies to improve process efficiency and user experience.</li><li>Implement secure solutions that protect data, credentials, and system interactions while meeting compliance and governance standards.</li><li>Follow established development practices for solution design, testing, deployment, documentation, and ongoing support.</li><li>Partner with IT teams and business stakeholders to gather requirements and translate business challenges into technical solutions.</li><li>Create technical designs, development plans, and implementation approaches for approved initiatives.</li><li>Lead and support testing activities, including user acceptance testing, to ensure solutions perform as expected.</li><li>Monitor production environments, troubleshoot issues, and resolve automation failures to maintain system reliability and performance.</li><li>Maintain documentation, approvals, and audit-ready records to support change management, compliance, and software development lifecycle requirements.</li></ul><p><br></p>
<p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
<p><strong>Robert Half is working with a client who is looking to hire a Machine Learning Engineer</strong> to help operationalize machine learning models as part of a growing enterprise AI program.</p><p>This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.</p><p>Responsibilities</p><ul><li>Develop and deploy machine learning models into production.</li><li>Build reusable ML pipelines for training, testing, deployment, and monitoring.</li><li>Partner with Data Scientists to productionize predictive models.</li><li>Develop APIs and services that expose machine learning capabilities to enterprise applications.</li><li>Monitor model performance, drift, and reliability.</li><li>Build automated testing and deployment processes for ML workloads.</li><li>Optimize model performance and infrastructure utilization.</li><li>Work with Data Engineering teams to establish reliable training and inference datasets.</li></ul><p><br></p>
We are looking for an 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>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>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.
<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.
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.
Position: AI / Machine Learning Engineer - Direct Hire Permanent Opportunity<br>Location: Hybrid - Des Moines, IA<br>Salary: $80,000 - 100,000 base annual salary plus exceptional benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>AI / Machine Learning Engineer<br>Are you passionate about applying machine learning and advanced analytics to solve real-world business challenges?<br>We're partnering with an established and growing technology consulting organization seeking an AI / Machine Learning Engineer to help expand its AI, predictive analytics, and data science capabilities.<br>In this highly visible role, you'll work directly with business leaders and analysts to develop machine learning models, improve anomaly detection, build forecasting solutions, and influence the future direction of the company's AI initiatives.<br>What You'll Do<br> • Develop and improve machine learning and predictive analytics models<br> • Analyze complex data using Python and SQL<br> • Support anomaly detection, forecasting, and advanced analytics initiatives<br> • Evaluate model performance and recommend improvements<br> • Collaborate with analysts, stakeholders, and leadership to solve business problems<br> • Help shape AI/ML tools, methodologies, and best practices<br>What We're Looking For<br> • 1-3+ years of AI, Machine Learning, Data Science, or Advanced Analytics experience<br> • Strong Python skills with libraries such as Pandas, NumPy, and Scikit-Learn<br> • Experience with statistical modeling, predictive analytics, and machine learning<br> • Strong SQL and data analysis skills<br> • Ability to explain technical concepts to both technical and non-technical audiences<br> • Collaborative, self-directed, and entrepreneurial mindset<br>Why Join?<br> • Make a visible impact in a growing AI/ML practice<br> • Work directly with decision-makers and leadership<br> • Collaborative, team-oriented culture with exceptional employee tenure<br> • Hybrid work environment<br> • Opportunity to influence strategy, architecture, and future AI initiatives<br> • Competitive compensation and benefits<br><br>This is an excellent opportunity for someone who enjoys combining technical depth, business impact, and hands-on problem solving in a flexible, entrepreneurial environment.<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
<p><strong>Software Engineer, AI</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A growing organization is seeking an AI Engineer to develop automation, data, and AI-driven solutions that improve business processes and operational efficiency. This role offers the opportunity to work on innovative projects while helping shape the organization's use of emerging technologies.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The AI Engineer will design, build, and support AI-powered applications, automation solutions, and data-driven workflows. The ideal candidate combines strong software engineering skills with experience delivering practical AI solutions in a business environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and support AI-enabled applications and automation solutions.</li><li>Partner with business and technical teams to identify opportunities for process improvement.</li><li>Build integrations between AI solutions, data sources, and business applications.</li><li>Monitor solution performance and continuously improve reliability and effectiveness.</li><li>Develop and maintain technical documentation and best practices.</li><li>Support the evaluation and adoption of emerging AI technologies.</li></ul>
<p>Our client is seeking a highly technical and innovative AI Solutions Engineer to design, build, and maintain internal applications, automations, and AI-powered tools that improve operational efficiency across the organization. This is not a traditional product development role. Instead, this individual will focus on solving business challenges through custom software development, workflow automation, system integrations, and practical applications of artificial intelligence.</p><p>The ideal candidate thrives in fast-paced environments, enjoys transforming ambiguous business needs into working solutions, and is comfortable partnering with both technical and non-technical stakeholders. This position offers the opportunity to work on a wide variety of projects while leveraging modern software development practices, cloud technologies, and AI capabilities to drive operational excellence.</p><p>Key Responsibilities</p><ul><li>Design, develop, and support internal applications, dashboards, automation tools, and workflow solutions that enhance business operations.</li><li>Build and integrate AI and Large Language Model (LLM) capabilities into existing processes, including document analysis, classification, workflow routing, content generation, summarization, and reporting.</li><li>Develop and maintain integrations between internal systems and third-party platforms using APIs and web services.</li><li>Rapidly prototype new solutions, gather business feedback, and evolve prototypes into scalable, maintainable production applications.</li><li>Collaborate with cross-functional teams to identify process improvement opportunities and implement technology-driven solutions.</li><li>Ensure applications meet security, privacy, governance, and compliance requirements.</li><li>Create and maintain technical documentation, architecture diagrams, and operational procedures to ensure ongoing supportability and audit readiness.</li><li>Monitor, troubleshoot, and enhance deployed solutions to ensure reliability and performance.</li></ul><p><br></p>
<p>Robert Half is seeking an innovative <strong>AI Software Engineer</strong> to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments.</p><p>This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>AI Application Development:</strong> Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li><strong>LLM Integration:</strong> Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li><strong>Machine Learning Solutions:</strong> Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li><strong>Software Engineering:</strong> Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li><strong>Data Processing:</strong> Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li><strong>Cloud Deployment:</strong> Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li><strong>Model Optimization:</strong> Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li><strong>Collaboration:</strong> Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li><strong>Research & Innovation:</strong> Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul><p><br></p>
<p>We are looking for a skilled AI Software Engineer to join our team in Phoenix, Arizona. In this long-term contract role. We want a full-stack software engineer who ships at AI speed without giving up engineering judgment. You'll use AI coding agents as your main tool, and you'll be the person who knows when the agent is wrong.</p><p><br></p><p>Responsibilities:</p><p>· <strong>Build department workspaces end to end.</strong> Ticket hubs, queues, tiles and filters for Client Services, Legal, HR and Compliance (e.g. a ClickUp-style filter builder, a performance-review system, a legal case tracker).</p><p>· <strong>Work on regulated workflows.</strong> Credit-dispute (e-OSCAR ACDV) queues with locking, auto-submit and audit trails, where a bug means a compliance issue, not just a broken screen.</p><p>· <strong>Replace CollectOne, one department at a time.</strong> Read legacy SQL Server data, mirror it into Postgres, and rebuild the daily screens staff rely on.</p><p>· <strong>Write database migrations safely.</strong> Plan apply-before-merge order, row-level security, and one-transaction-per-page-load rules.</p><p>· <strong>Wire integrations.</strong> Microsoft Graph mailboxes into tickets, Amazon Connect call screens, AWS Bedrock AI features (reply suggestions, PDF invoice analysis), S3 uploads, Stripe and QuickBooks.</p><p>· <strong>Drive AI agents well.</strong> Write clear prompts and specs, break work into small stacked PRs, and review every line the agent writes.</p><p>· <strong>Keep CI honest.</strong> Respect the guard checks (page index, lint ratchet, migration hygiene, secret scanning) and add new guards when a mistake could repeat.</p><p>· <strong>Sit with users.</strong> Turn a messy request from a supervisor into a clear spec, then show them the working screen.</p>
We are looking for an Industrial Software & Applications Engineer to join a permanent team supporting industrial technology initiatives in Pennsylvania. This position blends software engineering with automation support, offering the opportunity to build and enhance applications that improve visibility, reliability, and performance across operational systems. The role is well suited for someone who enjoys solving technical problems, working with connected equipment, and contributing to projects involving industrial data, controls, and modern software tools.<br><br>Responsibilities:<br>• Build, maintain, and enhance software applications that support the monitoring, control, and analysis of industrial operations.<br>• Work with automation hardware and software such as PLCs, HMIs, sensors, and instrumentation to support system connectivity and functional performance.<br>• Develop scripts, APIs, dashboards, and reporting tools that help teams access operational data and improve decision-making.<br>• Assist with collecting, validating, transforming, and processing industrial data for both real-time use and longer-term analysis.<br>• Troubleshoot communication links, interfaces, and networked systems to improve reliability across connected industrial environments.<br>• Contribute to system testing, commissioning, validation, and deployment activities for new or updated software and automation solutions.<br>• Analyze equipment and process data to identify trends, support predictive maintenance efforts, and recommend operational improvements.<br>• Create clear technical documentation, including diagrams, procedures, test plans, and troubleshooting references.<br>• Support initiatives involving cloud platforms, edge computing, remote connectivity, and cybersecurity practices for industrial systems.
We are looking for a senior-level Full Stack .Net/AI Engineer to join a manufacturing organization in Clearwater, Florida, where collaboration, initiative, and fresh ideas are genuinely encouraged. This role is ideal for someone who thrives in a fast-moving environment and enjoys building scalable software with a strong backend foundation while contributing to modern front-end experiences. You will play a key part in shaping a new processing platform and helping establish technical patterns that support long-term growth.<br><br>Responsibilities:<br>• Design, build, and enhance backend services and application logic using C# and .NET technologies for high-performance business systems.<br>• Develop and support user-facing features with React and JavaScript, ensuring a seamless connection between front-end functionality and server-side components.<br>• Architect and maintain secure, multi-tier cloud solutions within Azure, applying sound engineering practices for scalability, reliability, and performance.<br>• Manage source control, deployment workflows, and delivery processes using Git, GitHub, and Azure DevOps to support efficient software releases.<br>• Collaborate closely with cross-functional teammates to define technical solutions, review code, and contribute to a highly engaged team culture.<br>• Apply strong web security standards and software design principles throughout the development lifecycle to produce maintainable, resilient applications.<br>• Contribute to AI-enabled solution development by integrating Claude AI capabilities where they add value to product functionality and workflow efficiency.<br>• Support the evolution of processing-related systems and, when applicable, bring domain insight from payroll or similar operational platforms.