We are looking for an AI Consultant to help strengthen sales operations through smarter workflow design, automation, and data-informed decision-making in Burlington, Massachusetts. This Long-term Contract position will focus on improving pipeline efficiency, increasing visibility into sales performance, and building practical AI-enabled solutions within HubSpot and connected systems. The ideal candidate brings a strong understanding of revenue workflows and can translate business goals into scalable process improvements that support measurable growth.<br><br>Responsibilities:<br>• Review current sales processes in HubSpot and identify opportunities to improve lead routing, pipeline progression, and reporting accuracy<br>• Build and deploy AI-enabled solutions that support functions such as lead prioritization, forecasting, and outreach automation<br>• Configure and refine HubSpot tools to simplify day-to-day sales activity and reduce repetitive manual tasks<br>• Work closely with sales stakeholders to align workflow improvements with revenue targets, operational priorities, and key performance indicators<br>• Connect HubSpot with related platforms and business tools to create a more consistent and effective sales technology environment<br>• Track workflow and pipeline performance, analyze results, and recommend ongoing adjustments that improve productivity and conversion outcomes<br>• Document process updates and provide guidance to teams adopting new automation and AI-supported sales practices
We are looking for an AI Consultant to support discovery efforts and help shape practical AI-driven solutions for business operations in Carmel, Indiana. This Long-term Contract position will focus on analyzing workflows, identifying improvement opportunities, and aligning AI capabilities with environments that use EDI, Prophet 21, Prophet, and broader enterprise resource planning platforms. The ideal candidate brings a consultative mindset, can translate business needs into actionable recommendations, and works effectively across technical and operational teams.<br><br>Responsibilities:<br>• Lead discovery sessions with stakeholders to understand current processes, operational challenges, and areas where AI can add measurable value.<br>• Evaluate business workflows connected to Electronic Data Interchange and enterprise resource planning systems to identify automation and optimization opportunities.<br>• Provide guidance on how AI solutions can integrate with platforms such as Prophet 21 and related Prophet-based environments.<br>• Translate business objectives into clear solution recommendations, functional concepts, and implementation considerations for cross-functional teams.<br>• Collaborate with technical and business partners to define use cases, priorities, and success measures for AI initiatives.<br>• Document findings, process insights, and recommended next steps in a clear format that supports decision-making and project planning.<br>• Assess data inputs, system dependencies, and operational constraints that may affect AI adoption within existing enterprise applications.<br>• Support ongoing refinement of proposed solutions by incorporating stakeholder feedback, business requirements, and platform considerations.
We are looking for an AI Consultant to join a contract opportunity in New Jersey. This role is ideal for a technically strong educator and advisor who can translate advanced AI concepts into practical learning experiences for engineers, professionals, and business teams. The position combines hands-on instruction, curriculum development, and learner coaching while keeping training programs aligned with current industry applications and emerging digital technologies.<br><br>Responsibilities:<br>• Lead live training sessions covering artificial intelligence, machine learning, generative AI, data science, cloud technologies, cybersecurity, and related technical domains.<br>• Build and facilitate practical labs, workshops, and applied exercises that help learners use modern tools and frameworks in realistic scenarios.<br>• Guide participants through assignments, projects, and capstone work by offering technical mentorship, feedback, and problem-solving support.<br>• Develop and refine instructional materials, lab content, assessments, and program modules to keep learning paths current and effective.<br>• Tailor delivery methods to suit different audience backgrounds, experience levels, and business needs.<br>• Incorporate relevant industry examples, use cases, and market-informed perspectives into training sessions to strengthen real-world application.<br>• Monitor learner performance, review submissions, and provide structured evaluations that support strong completion rates and measurable outcomes.<br>• Partner with internal stakeholders to shape learning programs that reflect evolving client expectations and technology trends.
We are looking for an experienced Artificial Intelligence (AI) Engineer to establish and lead a secure, scalable internal AI platform in San Francisco, California. This role will shape the technical foundation for enterprise AI adoption by creating development standards, deployment practices, and governance controls that support reliable use across the organization. The position works closely with technology, security, and business teams to help both technical and non-technical users build, launch, and manage AI-powered solutions responsibly.<br><br>Responsibilities:<br>• Design, implement, and support the organization’s internal AI platform, with a primary focus on Azure-based environments, tools, and supporting infrastructure.<br>• Create and manage automated delivery workflows for AI applications, ensuring code is tested, versioned, and promoted through environments efficiently.<br>• Establish policies and technical controls that guide secure, compliant, and responsible use of AI across enterprise teams.<br>• Enable developers and business users to create AI-driven solutions by providing practical frameworks, tooling, and support for modern AI-assisted development environments.<br>• Lead the release and production rollout of AI solutions, overseeing readiness, deployment standards, and operational stability.<br>• Work closely with IT, security, and business stakeholders to encourage adoption, clarify proper usage, and align AI capabilities with organizational needs.<br>• Maintain platform health by managing access controls, monitoring performance, and improving development standards for scalable AI delivery.<br>• Coordinate with external consultants and partners to help execute AI initiatives and advance the broader platform roadmap.<br>• Produce clear documentation for workflows, technical standards, and best practices to support continued growth in enterprise AI usage.
<p>This role sits at the intersection of AI engineering, data scientist, developer enablement, and customer engagement. You will partner with Product, Engineering, Applied Science, and AI Platform teams to support implementation decisions, accelerate AI adoption, and help teams adopt reusable AI engineering patterns and implementation best practices.</p><p>This is a deeply hands-on role focused on building, prototyping, and iterating on AI-powered experiences. The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM applications, agent systems, and AI-native workflows in production environments.</p><p><br></p><p><strong>What you’ll do</strong></p><p><strong>Start with customers</strong></p><p>• Spend real time with lawyers, legal operations teams, and our internal subject-matter experts — in their offices, on their calls, watching their workflows. Develop a strong understanding of customer workflows and operational challenges through direct engagement.</p><p>• Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against.</p><p>• Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences based on customer feedback and observed user needs.</p><p>• Bring the customer voice back into our roadmaps, our model choices, and our trade-offs.</p><p>• Occasional travel to customer sites may be required to better understand workflows and gather product feedback.</p><p><br></p><p><strong>Build AI-powered applications and workflows</strong></p><ul><li>Contribute to AI-powered applications and workflows for legal and business use cases, including leveraging existing RAG pipelines, research assistants, and related AI capabilities developed by ML engineering teams.</li><li>Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns in collaboration with machine learning engineering teams.</li><li>Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services.</li><li>Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities.</li><li>Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments.</li></ul><p><strong>Contribute to AI Engineering Enablement</strong></p><ul><li>Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows, in collaboration with AI/ML engineering teams.</li><li>Promote reusable AI/ML engineering standards, tooling, and best practices that reduce friction for teams adopting AI and machine learning technologies, while aligning with recommendations from data science and AI platform teams.</li><li>Help software engineers expand their capabilities in ML-oriented development for applicable use cases without requiring deep data science specialization.</li><li><br></li></ul>
We are looking for an experienced Enterprise Architect to join our team in New Braunfels, Texas. In this role, you will be responsible for designing and maintaining enterprise-level technical architectures, ensuring scalability, security, and alignment with organizational objectives. This position offers an opportunity to collaborate with stakeholders and technical teams to create unified solutions that drive growth and innovation.<br><br>Responsibilities:<br>• Define and manage enterprise-wide technical architectures, including cloud platforms, integrations, data systems, and applications.<br>• Create scalable and secure solutions utilizing Oracle Cloud, Oracle Fusion, and other utility platforms.<br>• Develop technology roadmaps, integration strategies, and reference architectures to support organizational growth.<br>• Collaborate with stakeholders to establish and execute strategic architectural roadmaps.<br>• Leverage Oracle native services and AWS capabilities to design resilient and efficient solutions.<br>• Set integration strategies for cloud applications, enterprise systems, and operational technologies.<br>• Establish architectural standards, design principles, and governance practices to enhance standardization and compliance.<br>• Provide oversight on solution designs developed by internal teams or external vendors.<br>• Evaluate architectural risks and align strategies to support portfolio planning and modernization.<br>• Mentor technical teams to enhance architecture literacy and alignment across projects.
<p>We are looking for an experienced Product Architect who will be responsible for the operational ownership and continuous improvement of enterprise Pricing and Promotions solutions. This includes contributing to product roadmap planning, driving innovation initiatives, writing and refining user stories, guiding solution design and development, supporting deployment activities, and assisting with ongoing user support and value optimization efforts.</p><p>The Product Architect works within an agile delivery environment alongside internal team members and external partners, collaborating closely with cross-functional product, business, and technology teams across multiple regions.</p><p><br></p><p>Key Responsibilities</p><ul><li>Provide functional and technical expertise related to enterprise Pricing and Promotions platforms to business and technology stakeholders.</li><li>Participate in pricing and rebate initiatives from concept through implementation and value realization, partnering with vendors, implementation teams, and internal stakeholders.</li><li>Execute backlog items as prioritized by leadership, including features, user stories, incidents, change requests, and value optimization initiatives.</li><li>Develop user stories, cost estimates, solution designs, training materials, and system documentation.</li><li>Support development, configuration, testing, deployment, and post-go-live activities.</li><li>Assist with change management, support tickets, automated test case development, and ongoing product enhancements.</li><li>Collaborate with other product and technology teams based on evolving priorities.</li><li>Follow Agile and SDLC practices to ensure consistent and transparent execution across product areas.</li><li>Ensure solutions comply with enterprise architecture standards, security requirements, and modern data/analytics practices.</li><li>Track product performance and support value realization efforts.</li><li>Ensure product-related SLAs and operational metrics are achieved.</li><li>Work closely with cross-functional teams to deliver scalable, maintainable Pricing & Promotions solutions.</li></ul>
<p>We are looking for an experienced RPA Architect to lead the design and delivery of intelligent automation solutions for a wholesale distribution organization in Litchfield, Connecticut. This Long-term Contract position is ideal for someone who can shape scalable application architecture, guide development standards, and connect automation platforms with modern cloud and API-based systems. The role requires a strong technical foundation in .NET technologies, UiPath, and AWS, along with the ability to translate business needs into reliable, enterprise-ready solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design end-to-end robotic process automation solutions that align with enterprise application architecture and operational goals.</p><p>• Define technical frameworks, governance standards, and best practices for UiPath implementations across multiple business processes.</p><p>• Architect integrations between automation workflows, .NET-based applications, APIs, and cloud services to support efficient data exchange.</p><p>• Partner with business and technical stakeholders to evaluate automation opportunities and convert requirements into scalable solution designs.</p><p>• Oversee the technical direction of development teams, ensuring quality, security, maintainability, and performance across delivered solutions.</p><p>• Create architecture documentation, process design artifacts, and implementation roadmaps to support delivery and long-range planning.</p><p>• Review existing application landscapes and recommend enhancements that improve automation capability, reliability, and extensibility.</p><p>• Support deployment planning, environment strategy, and ongoing optimization of automation platforms within AWS-enabled ecosystems.</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 an AI Software Engineer to develop intelligent applications that leverage modern AI, machine learning, and large language model technologies. This role will work closely with product, engineering, and business teams to build AI-driven solutions that improve business outcomes and user experiences.</p><p>Responsibilities</p><ul><li>Design and develop AI-powered applications and services</li><li>Build integrations with large language models (LLMs) and AI platforms</li><li>Develop APIs and backend services supporting AI workflows</li><li>Implement prompt engineering and model evaluation strategies</li><li>Optimize AI solutions for performance, scalability, and reliability</li><li>Collaborate with product and business stakeholders to identify use cases</li><li>Support deployment and monitoring of AI solutions in production</li></ul><p><br></p>
<p>We are looking for a System Architect to support complex modeling, architecture, and engineering efforts for defense-focused programs in Dayton, Ohio. This position partners with technical teams, analysts, software specialists, and government stakeholders to build reliable system representations that inform design, analysis, and mission decisions. The role is well suited for someone who is detail oriented and can translate technical concepts into structured models and clear engineering deliverables within a highly collaborative environment.</p><p><br></p><p>Responsibilities:</p><p>• Build and update system architecture models, engineering artifacts, and structured technical representations for sophisticated platforms and interconnected systems.</p><p>• Apply SysML and model-based engineering tools to capture system behavior, interfaces, requirements, and design relationships.</p><p>• Work closely with engineers, developers, analysts, external partners, and government representatives to align technical models with program objectives.</p><p>• Prepare architecture documentation, briefings, and model-driven deliverables that support reviews, planning, and decision-making.</p><p>• Evaluate engineering data and architectural information to identify issues, recommend improvements, and strengthen technical approaches.</p><p>• Contribute to modeling, simulation, and analytical activities that support aerospace, defense, and national security initiatives.</p><p>• Maintain consistency and quality across model artifacts, ensuring traceability and usability for multidisciplinary teams.</p>
We are looking for a highly skilled IAM/Active Directory Architect to join our team in King of Prussia, Pennsylvania. In this long-term contract role, you will lead critical identity and access management (IAM) migration efforts, ensuring smooth transitions across Azure and Active Directory environments. This position is an exciting opportunity to contribute to a dynamic industry focused on waste, refuse, and environmental waste management.<br><br>Responsibilities:<br>• Develop and implement strategies to migrate identity and access management (IAM) components, including exporting, mapping, and reimporting data across Azure tenants.<br>• Rebuild managed identities for application services, container applications, and serverless environments.<br>• Migrate or recreate application registrations within the new Entra ID tenant.<br>• Create automation solutions using Microsoft Graph to handle large-scale identity operations efficiently.<br>• Execute Active Directory user and computer migrations using Quest Migration Manager.<br>• Design and implement Conditional Access policies tailored for the new Entra ID tenant.<br>• Collaborate with identity specialists to extract critical knowledge and execute migration tasks independently.<br>• Prepare comprehensive documentation, including identity architecture blueprints and operational runbooks, for seamless handoff to permanent teams.
We are looking for an experienced Solutions /Information Architect to support complex technology initiatives in Poughkeepsie, New York. This Long-term Contract position will focus on shaping secure, scalable, and sustainable solution designs that support business priorities and align with enterprise architecture direction. The ideal candidate will work closely with technical teams and stakeholders to guide architecture decisions, define critical non-functional needs, and promote consistency across integrated systems.<br><br>Responsibilities:<br>• Create end-to-end architecture solutions that emphasize scalability, security, and alignment with established enterprise principles<br>• Collaborate with project teams to clarify scope, identify dependencies, and define non-functional expectations for performance, reliability, and supportability<br>• Provide architectural leadership for technology initiatives by ensuring effective integration across applications, platforms, and business domains<br>• Assess technology alternatives and recommend options that meet operational needs while considering cost, maintainability, and long-term value<br>• Build strong working relationships with enterprise architecture partners to keep proposed solutions aligned with strategic roadmaps and target-state design<br>• Present architecture concepts and recommendations to review committees to obtain feedback, drive refinement, and secure design approval<br>• Influence cross-functional teams through facilitation, consensus building, and technical guidance in environments without direct authority<br>• Act as a trusted advisor to business stakeholders, project teams, and IT leadership on architectural direction and solution decisions<br>• Contribute to the development and ongoing improvement of architecture standards, reference patterns, and governance practices<br>• Verify that proposed solutions adhere to organizational policies, regulatory obligations, and accepted industry standards
We are looking for a Solutions Architect to join a Marketing/PR organization in New York, New York on a contract basis with the potential to become permanent. In this role, you will partner with clients and internal teams to shape effective technical solutions, guide implementation planning, and create a strong onboarding experience from the start. This position is ideal for someone who combines architectural insight with client-facing communication and can translate business needs into practical, scalable approaches.<br><br>Responsibilities:<br>• Guide client onboarding engagements and service initiatives, ensuring projects begin with clear direction and strong execution.<br>• Develop and refine onboarding workflows, documentation, and supporting materials to improve delivery efficiency and elevate the customer experience.<br>• Partner with customer success, product, and engineering teams to define how solutions align with each client’s existing technology environment.<br>• Manage technical workstreams across client-facing and internal initiatives, keeping deliverables organized, accurate, and aligned with quality expectations.<br>• Capture business and technical requirements with precision, documenting scope, architecture decisions, and integration strategies for successful delivery.<br>• Represent customer use cases and implementation feedback to product teams to help inform future platform enhancements.<br>• Coordinate with cross-functional stakeholders to maintain alignment throughout the engagement lifecycle and support a consistent client experience.<br>• Drive strong time-to-value by overseeing solution design and project outcomes that meet high technical standards.
<p>Robert Half is seeking an AI & Automation Engineer to support enterprise automation initiatives and drive operational efficiency through workflow automation, intelligent process automation, and AI-enabled business solutions.</p><p>The ideal candidate combines strong business analysis skills with hands-on experience designing and implementing automation solutions that streamline processes, improve data accuracy, and enhance organizational productivity.</p><p><strong>Key Responsibilities</strong></p><ul><li>Partner with business, operations, and product stakeholders to identify automation opportunities and process improvements.</li><li>Gather, document, and analyze business requirements for automation initiatives.</li><li>Design, develop, and implement workflow automation solutions using approved automation and low-code platforms.</li><li>Automate reporting, data synchronization, operational workflows, and other business processes.</li><li>Create and maintain bots, workflows, and automated business solutions.</li><li>Support testing, deployment, governance, and ongoing optimization of automation initiatives.</li><li>Leverage AI technologies to improve decision-making, efficiency, and scalability.</li><li>Collaborate with cross-functional teams to prioritize and deliver high-value automation projects.</li><li>Monitor and enhance existing automation solutions to maximize performance and business impact.</li></ul><p><strong>Common Project Areas</strong></p><ul><li>Automated reporting and analytics</li><li>Data integration and synchronization</li><li>Business process automation</li><li>Workflow orchestration</li><li>Operational efficiency initiatives</li><li>AI-assisted process improvements</li></ul>
We are looking for a Data/Information Architect to lead the design of advanced AI and data solutions that support strategic business goals in Richardson, Texas. This role blends architecture leadership with hands-on experimentation, requiring someone who can translate complex business needs into scalable technical approaches. The ideal candidate will assess emerging technologies, shape future-state architecture, and guide teams in bringing practical AI and machine learning capabilities into enterprise environments.<br><br>Responsibilities:<br>• Partner with business stakeholders and technical teams to define high-value AI and machine learning use cases and shape solution approaches that align with organizational objectives.<br>• Design enterprise architecture for intelligent systems spanning machine learning, generative AI, deep learning, virtual assistants, and cognitive technologies such as image and language processing.<br>• Produce target-state architecture artifacts and validate proposed designs through prototypes, pilot solutions, and minimum viable products.<br>• Review external platforms, tools, and vendor offerings in the AI/ML landscape and recommend options based on business fit, technical readiness, and long-term value.<br>• Contribute to strategic roadmaps covering AI, machine learning, advanced analytics, large language models, agent-based solutions, computer vision, data platforms, and event-driven processing.<br>• Stay current with industry advancements by continuously researching emerging practices, frameworks, and architectural patterns across AI and cloud-native technologies.<br>• Build proof-of-concept solutions quickly and independently to test models, algorithms, and technical approaches against real business challenges.<br>• Prepare and analyze data for experimentation by scripting data discovery, cleansing, transformation, and feature development activities across varied datasets.<br>• Support engineering and data science teams with architectural guidance for deploying, integrating, and operationalizing AI/ML capabilities within enterprise applications and workflows.
We are looking for an experienced Network Architect to lead the design and implementation of advanced network solutions in Brunswick, Georgia. This position involves shaping high-performing, scalable, and resilient infrastructures while ensuring optimal connectivity and service delivery. As a Contract to permanent opportunity, this role offers the chance to make a significant impact while contributing to the growth of a carrier-grade network.<br><br>Responsibilities:<br>• Design and implement network architectures, including routing, switching, and redundancy, to support scalable Layer 3 services and robust backbone connectivity.<br>• Develop strategies for Layer 2 transport delivery to residential communities, establishing standards for aggregation, handoff, and service demarcation.<br>• Oversee routing and resiliency planning, including peering strategies, traffic engineering, and readiness for future technologies.<br>• Manage IPv4/IPv6 transition planning, defining capacity models and ensuring performance benchmarks are met.<br>• Create and maintain detailed engineering documentation, including diagrams, operational procedures, and methods of procedure (MOPs).<br>• Mentor Network Engineers and collaborate with vendors to ensure effective deployment of Juniper, Nokia, and Calix platforms.<br>• Provide leadership during major incidents and planned maintenance activities, including on-call support.<br>• Establish and enforce disciplined change management practices for network operations.
<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 join a manufacturing organization in Grand Prairie, Texas on a Long-term Contract assignment. This role centers on creating enterprise-ready AI solutions that automate data-intensive processes, with a strong emphasis on autonomous workflows, backend engineering, and scalable system design. The ideal candidate will combine hands-on experience with Claude, C#, Visual Studio, and Microsoft SQL to deliver reliable AI-enabled applications that improve data classification, retention, and archiving outcomes.<br><br>Responsibilities:<br>• Build and deploy autonomous AI workflows that streamline data handling, classification, and archival activities across backend platforms.<br>• Create AI-enabled applications using Claude within a .NET and Visual Studio development environment to support production use cases.<br>• Develop and enhance APIs, services, and processing layers that power intelligent data automation solutions.<br>• Translate legacy database logic into modern Entity Framework-based implementations to improve maintainability and enable AI-assisted processing.<br>• Redesign data architecture components to support a shift from tightly coupled database structures toward service-oriented or microservices-based models.<br>• Define and refine prompts, agent behaviors, and orchestration logic to ensure dependable and repeatable AI outcomes.<br>• Improve the efficiency, scalability, and operational cost of AI-driven workflows through performance tuning and architecture decisions.<br>• Work with business and technical stakeholders to establish data governance standards, retention rules, and classification frameworks.<br>• Produce clear technical documentation and share knowledge to support adoption and long-term sustainability of delivered solutions.
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>We are looking for an AI Software Engineer to help design, build, and deploy AI-driven solutions that improve production, quality, and operational efficiency. You’ll work closely with engineering, operations, and data teams to identify high‑value use cases and turn them into scalable, real-world solutions.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Develop and deploy AI/ML models for manufacturing use cases (predictive maintenance, quality inspection, process optimization)</li><li>Work with sensor, production, and ERP data to build actionable insights</li><li>Collaborate with cross‑functional teams to move ideas from concept to production</li></ul><p><strong>What We’re Looking For</strong></p><ul><li>Experience with Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>Strong software engineering fundamentals and experience deploying models to production</li><li>Interest or background in manufacturing, industrial systems, or operational data</li></ul><p><br></p>
<p>We are looking for an Artificial Intelligence (AI) Engineer to create and expand advanced AI solutions that support real-world business applications in Atlanta, Georgia. This position is ideal for a hands-on engineer who can turn emerging AI concepts into reliable production systems, from intelligent workflows to scalable backend services. The role blends applied machine learning, large language model integration, and software engineering to deliver secure, high-performing tools in an enterprise setting.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use.</p><p>• Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs.</p><p>• Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources.</p><p>• Integrate tools such as TensorFlow, vector databases, and orchestration frameworks to support scalable AI and computer vision solutions.</p><p>• Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance.</p><p>• Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments.</p><p>• Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs.</p><p>• Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform.</p><p>• Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required.</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>
We are looking for an Artificial Intelligence (AI) Engineer to create advanced generative AI and agent-driven solutions in a cloud-native environment based in Atlanta, Georgia. This contract opportunity has the potential to become a permanent role and will involve designing, building, and deploying intelligent applications that improve business operations and connect seamlessly with enterprise platforms. The role spans the full development lifecycle, with a focus on scalable architecture, practical AI integration, and high-quality delivery in collaboration with cross-functional teams.<br><br>Responsibilities:<br>• Design and build AI applications that use Claude large language models to support business-focused automation and decision-making.<br>• Create agent-based workflows, including orchestration logic, prompt patterns, and autonomous behaviors that enable reliable task execution.<br>• Develop and implement Model Context Protocol-based agents or comparable agent frameworks within enterprise AI environments.<br>• Connect AI solutions to internal and external platforms through APIs, ensuring secure and efficient access to business data.<br>• Improve application performance by refining token usage, response quality, runtime efficiency, and overall operating cost.<br>• Build backend services, utilities, and supporting components needed to power scalable AI products in production.<br>• Partner with product leaders, technical teams, and business stakeholders to translate requirements into practical AI solutions.<br>• Contribute to deployment planning, testing, and ongoing enhancement of cloud-based AI systems across distributed environments.
<p><strong>Data Architect</strong></p><p><em>Contract-to-permanent</em></p><p>The Data Architect is responsible for defining, governing, and evolving the organization’s enterprise data architecture across ERP, operational systems, and analytics platforms. This role ensures data consistency, scalability, and integrity as the organization executes ERP implementations and OpCo rollouts.</p><p>This position does <strong>not</strong> perform day-to-day reporting or operational data fixes. Instead, it defines the structure, standards, and guardrails that others operate within.</p><p><strong>Key Responsibilities</strong></p><p> </p><p>Data Architecture and Design</p><ul><li>Define and maintain enterprise data models across ERP, operational, and analytics platforms.</li><li>Design canonical data models for core domains such as customers, vendors, jobs, projects, financials, and assets.</li><li>Define data relationships and ownership across BuildOps, Procore, ERP finance, and downstream analytics systems.</li><li>Establish standards for master data, reference data, and transactional data.</li></ul><p>Data Governance and Quality</p><ul><li>Define data ownership, stewardship, and accountability by domain.</li><li>Establish data quality rules, validation standards, and reconciliation frameworks.</li><li>Partner with Applications Management and Operations Success Managers to align system configuration with data standards.</li><li>Define auditability and traceability standards for financial and operational data.</li></ul><p>Integration and Analytics Enablement</p><ul><li>Partner with integration engineers to define data contracts, schemas, and transformation rules.</li><li>Ensure data models support reporting, business intelligence, and downstream analytics use cases.</li><li>Review and approve data design decisions for new integrations and ERP modules.</li></ul><p>ERP and Implementation Support</p><ul><li>Support ERP implementations by validating data design, mappings, and cutover readiness.</li><li>Review data migration strategies to ensure alignment with target-state architecture.</li><li>Provide architectural guidance during fit-gap, design, and testing phases.</li></ul><p><br></p>