We are looking for an Artificial Intelligence (AI) Engineer to join a long-term contract opportunity based in Cincinnati, Ohio. In this role, you will create and operationalize AI and machine learning solutions with a strong focus on generative AI, helping translate business needs into secure, scalable applications. You will collaborate across technical and business teams to deliver production-ready models, strengthen AI adoption, and support measurable outcomes through thoughtful engineering and evaluation.<br><br>Responsibilities:<br>• Create, train, and deploy scalable AI and machine learning solutions, including generative AI applications such as large language models, retrieval-augmented systems, and prompt-driven workflows.<br>• Build and maintain data pipelines, feature preparation processes, and model training and evaluation jobs using Python and established machine learning frameworks.<br>• Deliver models into production as APIs or batch processes, and improve inference performance with attention to speed, reliability, and cost efficiency.<br>• Assess emerging generative AI tools and model architectures, including embeddings, vector search, and diffusion-based approaches, to support defined business use cases.<br>• Develop prompt strategies, orchestration flows, safety controls, and evaluation methods, using structured testing to improve response quality and reduce risk.<br>• Apply MLOps and LLMOps practices such as experiment tracking, version control, deployment automation, monitoring, alerting, and drift detection.<br>• Integrate AI services with enterprise data platforms and business systems, including APIs, event-driven architectures, data warehouses, and reporting environments.<br>• Partner with product, analytics, IT, and data architecture teams to clarify requirements, document technical decisions, and deliver solutions that meet agreed objectives.<br>• Promote responsible AI practices by incorporating privacy, security, fairness, and content safety considerations into model behavior, testing, and deployment.<br>• Track performance indicators for AI initiatives, share insights on effectiveness and adoption, and stay current with advances in generative AI and broader machine learning methods.
We are looking for an Artificial Intelligence (AI) Engineer to join a team building intelligent applications and production-ready AI services in Irvine, California. This role combines software engineering, applied AI development, and operational ownership, with a focus on creating reliable user-facing tools and scalable backend systems. The ideal candidate brings hands-on experience with modern language model platforms, strong Python development skills, and the ability to translate business goals into practical AI solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration.<br>• Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior.<br>• Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features.<br>• Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences.<br>• Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring.<br>• Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance.<br>• Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage.<br>• Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements.<br>• Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
<p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join our team. This position focuses on building intelligent applications and scalable software systems that support advanced AI-driven products in the real estate and property industry. The ideal candidate brings deep engineering expertise across modern backend development, API design, front-end integration, and agent-based AI architecture. You will play a key role in shaping production-ready AI solutions that are reliable, secure, and aligned with business goals.</p><p><br></p><p>Responsibilities:</p><p>• Lead full lifecycle development of AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.</p><p>• Design and deliver agent-based AI solutions that support reasoning, multi-step execution, tool usage, memory handling, and workflow orchestration.</p><p>• Build, test, and maintain scalable backend applications and services using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks such as Express or NestJS.</p><p>• Create and support RESTful and GraphQL interfaces that connect web applications, internal platforms, databases, and external tools.</p><p>• Develop React-based user interfaces and ensure smooth interaction between front-end components and backend services.</p><p>• Architect microservices and distributed application patterns that improve scalability, resilience, and maintainability.</p><p>• Improve system efficiency by tuning application performance, refining database usage, and managing cloud resources effectively.</p><p>• Apply strong security practices across authentication, authorization, deployment, and production operations while supporting CI/CD pipelines and containerized environments.</p><p>• Establish monitoring, tracing, evaluation, and debugging practices for AI systems in production, and resolve issues across cloud-based environments.</p><p>• Partner with product, design, DevOps, data, and engineering teams while providing technical guidance on AI platform strategy and engineering standards.</p>
We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization.<br><br>Responsibilities:<br>• Partner with business leaders to understand operational pain points and identify where AI can create measurable value.<br>• Translate business needs into solution concepts, technical approaches, and implementable AI initiatives.<br>• Design, develop, test, and deploy AI and machine learning applications that address real-world business problems.<br>• Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities.<br>• Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow.<br>• Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities.<br>• Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes.<br>• Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
We are looking for an Artificial Intelligence (AI) Engineer to help turn promising AI concepts into reliable, scalable solutions used across the business. This role works closely with technology, product, and operational teams in Conshohocken, Pennsylvania to guide practical delivery decisions, strengthen production AI systems, and ensure solutions are secure, governable, and useful for everyday workflows. The ideal candidate combines hands-on engineering depth with strong judgment, enabling teams and stakeholders to move from experimentation to measurable business impact.<br><br>Responsibilities:<br>• Collaborate with cross-functional technology and product teams to advance AI initiatives from early testing into stable production environments while aligning with existing ownership across the organization.<br>• Design, build, and support production-ready AI systems, while providing technical guidance and mentorship to other engineers contributing to delivery efforts.<br>• Define and improve the end-to-end productionization process for AI solutions, including system architecture, model evaluation, performance optimization, cost management, observability, and continuous iteration.<br>• Embed AI capabilities into operational workflows so that teams gain practical adoption, improved efficiency, and stronger output quality rather than isolated proof-of-concept results.<br>• Apply responsible AI practices that support healthcare-oriented expectations around privacy, security, governance, and model oversight without slowing delivery unnecessarily.<br>• Assess third-party platforms, vendors, and integration approaches to identify scalable options and avoid tools that create fragmented or short-term solutions.<br>• Drive automation opportunities across content and compliance-related processes to create more efficient and differentiated delivery capabilities.<br>• Contribute technical expertise during client discussions, proposals, and new business efforts by clearly representing what can be built and delivered in real-world timelines.<br>• Engage confidently with client and internal stakeholders across IT, brand, medical, and agency functions, translating technical considerations into practical business decisions.<br>• Help non-technical users adopt AI tools by promoting governed, accessible solutions that fit the needs of teams beyond engineering.
We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making.<br>• Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions.<br>• Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost.<br>• Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way.<br>• Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability.<br>• Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns.<br>• Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation.<br>• Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions.<br>• Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
<p>Robert Half is hiring for a Principal level Software Engineer to focus on agentic workflows and AI software products. In this role, you will lead full product development efforts while creating intelligent, scalable applications that combine agentic AI capabilities with modern web technologies. The position calls for a hands-on engineer who can build reliable backend systems, contribute to user-facing experiences, and partner across teams to deliver secure, high-performing solutions.</p><p><br></p><p>Responsibilities:</p><p>• Lead the full software development lifecycle for AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.</p><p>• Create and refine agentic AI workflows that support business objectives and integrate effectively with application services.</p><p>• Build, test, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.</p><p>• Develop and maintain RESTful or GraphQL interfaces that enable dependable communication between applications and services.</p><p>• Contribute to front-end development with React, ensuring smooth interaction between user interfaces and backend functionality.</p><p>• Architect and support microservices-based and distributed systems designed for reliability, flexibility, and growth.</p><p>• Improve overall system efficiency by tuning application performance, refining database access patterns, and managing cloud resource consumption.</p><p>• Apply strong security practices by implementing access control, authentication, and authorization measures across applications.</p><p>• Oversee containerized delivery processes and automated deployment workflows using Docker and CI/CD tools, while diagnosing and resolving production issues in cloud environments.</p><p>• Work closely with product, design, and DevOps partners to deliver maintainable, well-documented solutions that meet project goals.</p>
We are looking for an Artificial Intelligence (AI) Engineer to create practical solutions that improve how teams work, analyze information, and make decisions. This position is based in Jupiter, Florida, and focuses on designing intelligent applications, workflow automations, and data-driven tools that support business and financial operations. You will collaborate with stakeholders across the organization to translate open-ended challenges into reliable, scalable products built with modern engineering and cloud technologies.<br><br>Responsibilities:<br>• Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities.<br>• Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency.<br>• Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights.<br>• Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support.<br>• Automate recurring deliverables across finance, accounting, and operational reporting functions.<br>• Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments.<br>• Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes.<br>• Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation.<br>• Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
We are looking for an experienced Sr. Business Intelligence Architect to shape and advance enterprise reporting and analytics capabilities for a higher education environment in Philadelphia, Pennsylvania. This role will guide the design of secure, scalable data solutions, partner closely with technical and business stakeholders, and help establish strong standards for business intelligence delivery. The ideal candidate brings deep expertise in Microsoft BI technologies, a strategic mindset for architecture, and a proven background leading business intelligence excellence across an organization.<br><br>Responsibilities:<br>• Architect enterprise-scale BI and analytics solutions using Microsoft Fabric technologies, including OneLake, Data Factory, Synapse, and Power BI.<br>• Build, refine, and support data models, ingestion workflows, and semantic structures that enable reliable analysis and reporting.<br>• Direct major data platform enhancement efforts, including initiatives involving modernization and migration to Microsoft Fabric.<br>• Work closely with analysts, engineers, and business partners to convert reporting goals into practical data architecture designs.<br>• Establish governance, design standards, and best practices to improve the quality, security, and scalability of BI solutions.<br>• Lead and mentor business intelligence teams or center-of-excellence functions to strengthen delivery consistency and technical capability.<br>• Develop reporting frameworks and dashboard strategies that provide stakeholders with clear, actionable insights.<br>• Evaluate existing BI environments and recommend architectural improvements that increase performance and long-term maintainability.
<p>We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. </p><p>The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions.</p><p><br></p><p>Responsibilities:</p><p>• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.</p><p>• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.</p><p>• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.</p><p>• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.</p><p>• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.</p><p>• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.</p><p>• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.</p><p>• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.</p><p>• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.</p><p>• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.</p><p>Other duties as needed</p>
We are looking for an experienced AWS Data/Information Architect to help design and advance scalable cloud and data architecture solutions for a growing technology environment in Madison, Wisconsin. This Contract to permanent position is ideal for a senior candidate who can translate business needs into secure, resilient, and high-performing cloud-native architectures while partnering closely with engineering and leadership teams. The role focuses on modern platform design, distributed systems, automation, and data ecosystem strategy, with an emphasis on practical delivery, governance, and long-term sustainability.<br><br>Responsibilities:<br>• Lead the architecture and implementation of AWS-based data and application platforms that support scalability, reliability, and operational efficiency.<br>• Define solution patterns for cloud-native systems, including microservices, containers, and serverless components, to meet performance and integration needs.<br>• Create and maintain infrastructure automation using tools such as Terraform and CloudFormation, and strengthen delivery pipelines through CI/CD best practices.<br>• Establish architectural standards for networking, identity, observability, and security controls across containerized and distributed workloads.<br>• Design data platform frameworks that support warehousing, lake architectures, streaming workflows, and integration across enterprise systems.<br>• Partner with development, DevOps, and business stakeholders to align technical direction with strategic objectives and delivery priorities.<br>• Provide technical leadership through design reviews, documentation, mentoring, and guidance on engineering best practices.<br>• Support hybrid or multi-cloud connectivity strategies where needed, including integration with on-premise environments and enterprise platforms.
<p>We are looking for a MLOps Engineer II w/ a focus on GPU Compute to join a team in Coppell, Texas, on a Long-term Contract assignment. In this role, you will design and refine vision-based AI solutions that support real-world image and video use cases, while partnering with cross-functional teams to move ideas from research into production. The position is ideal for someone who combines strong machine learning expertise with practical understanding of hardware constraints and model performance in live environments.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>•Deploy GPUs (Graphics Processing Units) workflows in a retail environment that requires processing massive amounts of image, video, customer, and transaction data.</p><p>•Design, build, and enhance computer vision and machine learning models for use cases involving object detection, image segmentation, classification, and video-based analysis.</p><p>•Compare modeling approaches, assess trade-offs across accuracy, speed, and scalability, and recommend fit-for-purpose solutions aligned with business goals.</p><p>•Train and adapt deep learning models using frameworks such as PyTorch or TensorFlow, applying techniques like transfer learning and optimization for efficient performance.</p><p>•Establish evaluation methods, track key performance measures, investigate error patterns, and iterate on models to improve reliability and response time.</p><p>•Incorporate practical considerations related to cameras, sensors, lighting conditions, and edge hardware when developing and tuning solutions.</p><p>•Create and support data preparation, annotation, and validation workflows that enable consistent experimentation and dependable deployment.</p><p>•Work closely with software, hardware, and MLOps partners to transition models from proof of concept into production-ready applications.</p><p>•Contribute to deployment readiness by helping optimize models for inference and operational use in resource-constrained environments.</p>
We are looking for an experienced infrastructure architect to lead the design of large-scale environments that support AI model training, inference, and high-performance computing in Irvine, California. This role blends deep technical expertise with practical decision-making across compute, networking, storage, and data center infrastructure, ensuring solutions are scalable, resilient, and ready for production. The position works closely with engineering, operations, vendors, and facilities teams to turn workload demands and site constraints into well-defined, deployable architectures.<br><br>Responsibilities:<br>• Architect end-to-end data center solutions for AI and HPC environments, aligning compute, interconnect, storage, and management systems into a cohesive platform.<br>• Convert workload profiles, growth forecasts, and site limitations into detailed infrastructure designs that support performance, reliability, and future expansion.<br>• Assess rack-scale platforms and hardware configurations to determine the best fit for resiliency, operational efficiency, and long-term scalability.<br>• Design network frameworks for compute, storage, user, and administrative traffic with careful attention to bandwidth, failover, and overall fabric performance.<br>• Define storage strategies based on throughput, latency, capacity, and application behavior to meet demanding AI and HPC requirements.<br>• Produce detailed equipment specifications and bills of materials covering hardware components, connectivity, software, support agreements, and spare inventory.<br>• Review vendor and integrator proposals to confirm technical completeness, pricing accuracy, and alignment with architectural requirements.<br>• Partner with manufacturers, OEMs, and integration providers during technical assessments and contribute expertise during commercial discussions.<br>• Establish rack layouts, cabling plans, service access considerations, and facility requirements including power, cooling, weight, and floor space.<br>• Create validation standards for benchmarking, reliability testing, and operational acceptance before systems are released into production.
<p><strong>Job Title: </strong>Senior DevOps Engineer (Azure DevOps / AWS)</p><p><strong>Location:</strong> 100% Remote</p><p><strong>Duration:</strong> 3-6 Month Contract</p><p><strong>Type:</strong> Contract Consulting Engagement</p><p><strong>Schedule: </strong>40 Hours Weekly, Monday- Friday </p><p><br></p><p><strong>Overview</strong></p><p>We are seeking a hands-on <strong>Senior DevOps Engineer</strong> to support a large-scale application modernization and cloud transformation initiative. This consultant will play a key role in enhancing CI/CD capabilities, improving deployment automation, and supporting the migration of legacy applications to modern cloud-based architectures.</p><p>The ideal candidate will have deep experience with <strong>Azure DevOps</strong>, CI/CD pipeline development, AWS cloud technologies, and application modernization efforts. This is a highly technical, engineering-focused role where you'll be expected to contribute immediately within an established DevOps environment while helping drive several strategic modernization initiatives forward.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, build, enhance, and maintain Azure DevOps CI/CD pipelines</li><li>Improve deployment automation and release management processes</li><li>Develop new development, testing, and production deployment pipelines</li><li>Support application modernization and cloud transformation initiatives</li><li>Help standardize deployment practices across multiple teams and environments</li><li>Automate build, release, and deployment workflows</li><li>Collaborate with software engineers, architects, and business stakeholders</li><li>Support deployments within AWS environments, including EC2 and serverless workloads</li><li>Assist with Infrastructure as Code initiatives and overall platform maturity</li><li>Contribute to DevOps best practices, governance, and operational reliability</li><li>Document processes and collaborate within Jira and Confluence environments</li></ul><p><br></p><p><br></p>
<p>We are looking for an experienced IT Vendor Management Data Analyst to support strategic vendor operations and strengthen supplier performance across the organization in Cedar Rapids, Iowa. This Long-term Contract position is ideal for a business analyst who can combine data-driven oversight with strong partnership management, helping IT leadership make informed sourcing, contract, and performance decisions. The role focuses on vendor governance, service measurement, financial accuracy, and cross-functional collaboration with procurement, legal, and senior stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Advise IT leadership on sourcing approaches and vendor accountability models that improve service delivery, cost control, and operational effectiveness.</p><p>• Manage relationships with key technology vendors, ensuring expectations are clearly defined and partnerships remain productive, responsive, and aligned with business goals.</p><p>• Collaborate with senior leaders to support negotiations involving pricing, service commitments, contractual terms, and vendor performance concerns.</p><p>• Establish and maintain service level metrics, reporting standards, and review processes to evaluate vendor results and drive corrective actions when needed.</p><p>• Analyze vendor performance information and trend data regularly, then communicate findings and improvement opportunities to internal stakeholders and external partners.</p><p>• Lead or support vendor selection activities by shaping evaluation criteria, coordinating RFP efforts, and partnering with procurement teams on decision-making processes.</p><p>• Work with legal, finance, and operational teams to move contracts from negotiation through execution while maintaining oversight of vendor obligations after signing.</p><p>• Review invoices, credits, penalties, and reconciliations for alignment with contractual terms, and assist with onboarding, payment processing, and budget-related vendor reporting.</p><p>• Identify opportunities to improve vendor outcomes year over year by influencing strategic suppliers and encouraging alignment with organizational priorities.</p>