<p>We’re seeking an AI-focused IT Business Analyst to bridge the gap between business stakeholders and technical teams. This role will support AI/ML initiatives, gathering requirements, defining use cases, and helping translate business problems into scalable data and AI solutions.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Partner with stakeholders to identify <strong>AI-driven opportunities</strong> across business functions</li><li>Gather, document, and refine <strong>functional and technical requirements</strong> for AI/ML solutions</li><li>Translate business needs into <strong>data models, workflows, and system requirements</strong></li><li>Collaborate with data scientists and engineers on <strong>model development and deployment</strong></li><li>Support <strong>process mapping, gap analysis, and future-state design</strong></li><li>Define <strong>KPIs and success metrics</strong> for AI initiatives</li><li>Assist with <strong>user adoption, training, and documentation</strong></li></ul><p><br></p>
<p>We are looking for an experienced AI Architect to shape and deliver enterprise AI capabilities that support global business operation. This position focuses on creating scalable architectures for generative AI, machine learning, intelligent automation, and advanced analytics while aligning technical strategy with business goals. The role will work closely with executives, IT leaders, and cross-functional teams to establish a practical AI roadmap and bring secure, production-ready solutions into day-to-day operations.</p><p><br></p><p>Responsibilities:</p><p>• Develop enterprise-wide AI architecture standards, reference models, and implementation guidelines to support consistent solution delivery across business functions.</p><p>• Design and deploy scalable platforms for generative AI, agent-based systems, machine learning, and analytics that can operate effectively in a global environment.</p><p>• Establish governance practices covering model oversight, responsible AI usage, security controls, compliance expectations, and lifecycle management.</p><p>• Partner with senior stakeholders to identify high-impact opportunities where AI can improve operational performance, decision-making, and business outcomes.</p><p>• Lead the architecture and rollout of AI-enabled assistants, knowledge tools, and automated workflows integrated with core enterprise applications and internal data sources.</p><p>• Create robust API, microservices, and orchestration patterns that enable reliable integration of AI services with business platforms and custom solutions.</p><p>• Build and refine retrieval-augmented generation solutions, vector-based search capabilities, prompt frameworks, and enterprise knowledge access models.</p><p>• Work with data engineering and platform teams to implement scalable AI pipelines, MLOps and LLMOps practices, monitoring, and cloud-based deployment patterns across major cloud environments.</p><p>• Evaluate emerging vendors, tools, and proof-of-concept solutions while guiding technical teams through architecture decisions, implementation challenges, and best practices.</p>
<p>Our client is seeking an AI Architect to lead the design and implementation of enterprise AI strategies and solutions. This role will define AI architecture standards, evaluate emerging technologies, and guide technical teams through large-scale AI initiatives.</p><p>Responsibilities</p><ul><li>Define enterprise AI architecture, frameworks, and governance standards.</li><li>Lead the design of scalable AI, machine learning, and generative AI platforms.</li><li>Evaluate AI technologies, tools, and vendors.</li><li>Partner with business and technology leaders to identify strategic AI opportunities.</li><li>Establish security, compliance, and responsible AI practices.</li><li>Mentor engineering teams and provide technical leadership.</li></ul><p><br></p>
<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 an AI Specialist to support the development of modern learning solutions for training in Minneapolis, Minnesota. This position is well suited for someone starting a career in artificial intelligence who wants practical exposure to real projects, collaborative mentorship, and opportunities to expand technical skills. The role blends front-end development with AI-enabled tools to help create engaging, effective digital training experiences.<br><br>Responsibilities:<br>• Build and refine interactive front-end components for training applications using React.js, JavaScript, HTML, and CSS.<br>• Apply AI platforms such as GPT, ChatGPT, and Claude to enhance content creation, user experience, and workflow efficiency.<br>• Develop user-friendly learning experiences that align technical functionality with instructional goals.<br>• Connect and automate processes across tools and platforms through Zapier integrations where appropriate.<br>• Collaborate with team members to translate training concepts into effective digital solutions.<br>• Support the creation and enhancement of e-learning materials using tools such as Articulate Storyline and Adobe Captivate.<br>• Test, troubleshoot, and improve interface performance to ensure reliable and engaging learner interactions.
<p>Our client is seeking an AI Engineer to design, develop, and deploy AI-powered applications that drive business value and operational efficiency. This individual will work closely with software engineering, data, and business teams to build scalable machine learning and generative AI solutions.</p><p>Responsibilities</p><ul><li>Design, develop, and deploy machine learning and generative AI solutions.</li><li>Build and maintain AI/ML pipelines for model training, testing, and production deployment.</li><li>Integrate AI capabilities into enterprise applications and business workflows.</li><li>Develop and optimize prompts, agents, and retrieval-augmented generation (RAG) solutions.</li><li>Collaborate with cross-functional teams to identify AI use cases and deliver business outcomes.</li><li>Monitor model performance and continuously improve accuracy and reliability.</li></ul><p><br></p>
<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>
<p>We are hiring an <strong>AI Solutions Engineer</strong> to implement AI-driven tools and integrate them into business systems.</p><p>Key Responsibilities:</p><ul><li>Integrate AI models into production applications</li><li>Support deployment of AI tools and APIs</li><li>Work with engineering and product teams</li></ul><p><br></p>
<p>We are looking for an AI Data Analyst to join our team in Greater Milwaukee. In this role, you will turn business challenges into practical data, automation, and AI solutions that improve daily operations and support stronger decision-making. You will work closely with internal stakeholders to evaluate processes, uncover meaningful insights, and deliver scalable tools that align technology with organizational goals. <strong>This role requires the candidate to be onsite, with a hybrid schedule.</strong></p><p><br></p><p>Responsibilities:</p><p>• Create and launch AI-enabled processes, tools, and agents that streamline operational activities and improve team productivity.</p><p>• Develop and support connections between internal applications and third-party platforms using APIs, data flows, and related integration methods.</p><p>• Evaluate business and operational data to surface patterns, identify gaps, and recommend opportunities for process improvement.</p><p>• Produce dashboards, reporting assets, and analytical tools that help teams monitor performance and make informed decisions.</p><p>• Partner with stakeholders across the organization to gather requirements, define success measures, and convert business needs into technical solutions.</p><p>• Test, refine, and deploy solutions in real-world environments, making ongoing enhancements based on user feedback and results.</p><p>• Investigate and resolve issues involving systems, workflows, and integrations to maintain reliable performance.</p><p>• Promote sound practices for data quality, governance, security, and long-term scalability across tools and workflows.</p><p>• Build a strong understanding of company operations, systems, and industry-specific processes to ensure solutions are accurate and relevant.</p>
<p>We are 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.
<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><strong>Job Title</strong></p><p>Senior Artificial Intelligence (AI) Solutions Architect</p><p><br></p><p><strong>Company Overview</strong></p><p>A forward-thinking organization in the consumer products and retail sector, based in Los Angeles, CA, is investing heavily in artificial intelligence to transform business operations and drive innovation. The company is focused on building scalable, AI-enabled systems that enhance efficiency, decision-making, and customer experiences. With a strong commitment to technological advancement, it fosters a collaborative environment where new ideas and AI-driven initiatives are encouraged.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior AI Solutions Architect will serve as a key technical leader responsible for designing, building, and scaling enterprise-grade AI systems. Based in Los Angeles, CA, this role partners closely with senior leadership to translate business needs into robust AI solutions while driving technical execution. This position combines hands-on engineering with strategic influence, shaping the organization’s AI roadmap and enabling broader adoption across teams.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Architect and deploy scalable AI systems, integrations, and enterprise-grade solutions</li><li>Design and implement AI orchestration workflows, including agent-based and context-aware systems</li><li>Develop and manage LLM-powered applications and integrations across business platforms</li><li>Partner with cross-functional stakeholders to identify AI opportunities and drive measurable business impact</li><li>Establish governance, best practices, and standards for AI workflows and system architecture</li><li>Lead integration efforts across enterprise platforms such as ERP, HRIS, and supply chain systems</li><li>Contribute to AI strategy and roadmap development alongside senior technology leadership</li><li>Mentor and guide engineers, fostering technical excellence and best practices</li><li>Promote AI adoption through internal education, advocacy, and knowledge sharing</li><li>Evaluate emerging tools and technologies to continuously enhance AI capabilities and scalability</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>$190,000 - $200,000 with discretionary bonus</li><li>Annual bonus eligibility</li><li>Comprehensive medical, dental, and vision coverage</li><li>Competitive benefits and employee-focused perks</li></ul><p><strong>Additional Details</strong></p><ul><li>Hybrid work model (onsite four days per week, remote flexibility one day per week)</li><li>Leadership-track opportunity with clear growth into senior technology leadership</li><li>Highly visible role with direct impact on enterprise AI strategy and execution</li></ul>
<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>
<p>We are looking for an experienced Artificial Intelligence (AI) Engineer to design and implement innovative AI-driven solutions that enhance business operations and decision-making processes. In this contract position, you will play a pivotal part in developing scalable, secure, and cutting-edge systems that integrate AI with automation technologies. This role offers an exciting opportunity to work at the forefront of artificial intelligence.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop AI-powered systems that incorporate generative AI, intelligent automation, and agent-based architectures.</p><p>• Build automation ecosystems using advanced machine learning models, large language models, and modern automation platforms.</p><p>• Research and integrate emerging AI technologies, including orchestration frameworks, autonomous agents, and AI security measures.</p><p>• Establish reusable patterns, APIs, and standards to enable scalable AI integrations across the enterprise.</p><p>• Oversee projects from initial experimentation to production deployment, ensuring they meet performance, reliability, and business impact goals.</p><p>• Collaborate with business and technology teams to align AI and automation solutions with organizational priorities.</p><p>• Implement robust governance, security, and ethical AI principles in all solutions to ensure compliance and responsible use.</p><p>• Provide expert guidance and mentorship on AI tools, optimization strategies, and automation best practices to team members.</p><p>• Conduct reviews of AI and automation implementations to ensure long-term sustainability and operational effectiveness.</p><p>• Stay updated on the latest AI trends and methodologies, sharing insights to inspire innovation across the organization.</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>ONSITE</p><p>We’re seeking an AI Engineer to design, build, and deploy scalable AI/ML and LLM-powered solutions across enterprise environments.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Develop ML/DL models (supervised, unsupervised, neural networks, reinforcement learning)</li><li>Build deep learning solutions (CNNs, RNNs, Transformers) using TensorFlow, PyTorch, Keras</li><li>Perform data processing and analysis (Pandas, NumPy, SQL)</li><li>Develop NLP (chatbots, classification) and computer vision solutions (OpenCV)</li><li>Deploy models via APIs (FastAPI/Flask), Docker, Kubernetes, and cloud (AWS, Azure, GCP)</li><li>Integrate LLMs and AI services (OpenAI, Anthropic Claude, AWS Bedrock, Vertex AI)</li><li>Utilize AI engineering tools (LangChain, LlamaIndex, n8n, vector DBs like Pinecone/FAISS)</li><li>Apply prompt engineering, RAG, and agent-based workflows</li><li>Monitor model performance (accuracy, F1, AUC) and ensure observability</li><li>Ensure ethical AI practices (bias mitigation, explainability)</li></ul><p><br></p>
<p><strong>Overview:</strong></p><p>We are seeking an experienced AI Network Engineer to support and optimize high-performance infrastructure powering AI/ML workloads. This role focuses on designing and maintaining GPU-accelerated environments leveraging NVIDIA technologies, high-throughput networking, and low-latency architectures.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and support <strong>high-performance networks for AI/ML workloads</strong>, including GPU clusters and distributed training environments</li><li>Deploy and optimize <strong>NVIDIA-based infrastructure</strong> (DGX systems, HGX platforms, or GPU clusters)</li><li>Configure and manage <strong>high-speed networking technologies</strong> such as InfiniBand, RoCE, and 100/200/400Gb Ethernet</li><li>Optimize <strong>network performance for east-west traffic</strong>, low latency, and large data throughput required for AI model training</li><li>Integrate <strong>NVIDIA software stack</strong> (CUDA, NCCL, GPU Cloud, AI Enterprise) with networking and compute environments</li><li>Troubleshoot performance bottlenecks across <strong>network, storage, and GPU interconnects</strong></li><li>Collaborate with AI/ML engineers to ensure infrastructure meets training and inference demands</li><li>Support automation and infrastructure-as-code initiatives for scalable AI environments</li></ul><p><br></p>
We are looking for an AI Marketing Specialist to join a fast-paced team in Pennsylvania. This role is ideal for a marketing specialist who blends creative thinking with data-driven decision-making and enjoys working directly with clients. You will shape campaign strategy, guide creative development, and use performance insights to improve results across e-commerce-focused accounts. The position suits someone who is organized, proactive, and excited to explore how AI can enhance marketing workflows.<br><br>Responsibilities:<br>• Develop and launch paid social campaigns, with a strong focus on Meta platforms, to support growth for client accounts.<br>• Interpret campaign metrics and audience performance to identify trends, measure impact, and recommend optimization strategies.<br>• Create new concepts for ads and marketing assets, or direct the production of visuals and messaging informed by prior campaign results.<br>• Oversee multiple client relationships by providing updates, answering questions, and maintaining trust through clear communication.<br>• Coordinate timelines, priorities, and deliverables to keep projects on track in a dynamic agency environment.<br>• Contribute strategic ideas drawn from e-commerce or agency experience to improve campaign execution and overall account performance.<br>• Partner across strategy, creative, and executional workstreams to deliver integrated marketing solutions.<br>• Explore and apply AI-driven tools or workflow improvements that increase efficiency and support better marketing outcomes.
<p>We are looking for a Controller to lead core accounting operations for a growing IT software organization near Ann Arbor, Michigan. This position will oversee the full close cycle, maintain strong financial controls, and support accurate, timely reporting across multiple accounting functions. The role is well suited for a hands-on accounting leader who can balance detailed transaction oversight with broader financial stewardship and compliance responsibilities.</p><p><br></p><p>Responsibilities:</p><p>• Lead the monthly close process from start to finish, ensuring deadlines are met, reconciliations are completed, and the accounting records are finalized accurately.</p><p>• Maintain oversight of the general ledger and support day-to-day accounting activity across accounts payable, accounts receivable, payroll, and fixed asset accounting.</p><p>• Prepare and record journal entries related to recurring and non-routine activity, including amortization, depreciation, and other period-end adjustments.</p><p>• Monitor adherence to internal controls and accounting procedures to support audit readiness, policy compliance, and reliable financial reporting.</p><p>• Manage the master trial balance within a 4-4-5 accounting calendar and ensure balances are properly supported throughout each reporting period.</p><p>• Research account variances and unusual transactions, resolve accounting issues, and respond to technical questions from internal and external stakeholders.</p><p>• Produce monthly, quarterly, and annual financial statements in accordance with applicable accounting standards and organizational reporting requirements.</p><p>• Apply percentage-of-completion accounting principles where appropriate and provide financial analysis to support business decision-making.</p>
<p><strong>Healthcare Controller </strong></p><p><strong>Contact:</strong> Brittany Rizzo / [email protected]</p><p><strong>Reference ID:</strong> BR0013449604</p><p><br></p><p>Our client, a well-respected healthcare organization, is seeking an experienced and hands-on <strong>Controller</strong> to lead the accounting and financial operations of the hospital. This is a highly visible leadership role responsible for overseeing all aspects of accounting, financial reporting, budgeting, revenue cycle oversight, internal controls, and regulatory compliance.</p><p><br></p><p>The ideal candidate will be a strong accounting professional with a proven background in hospital or healthcare finance, exceptional leadership skills, and the ability to partner with executive leadership to drive financial performance and operational excellence.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Direct and oversee all accounting functions, including general ledger, accounts payable, accounts receivable, payroll, fixed assets, and month-end/year-end close processes.</li><li>Prepare timely and accurate monthly, quarterly, and annual financial statements in accordance with GAAP and healthcare industry standards.</li><li>Lead the organization's annual budgeting process, including full-cycle budget development, forecasting, variance analysis, and financial planning.</li><li>Partner with department leaders and executive management to monitor financial performance and identify opportunities for improvement.</li><li>Provide oversight of revenue cycle operations, including billing, collections, reimbursement, cash management, and revenue integrity initiatives.</li><li>Ensure compliance with all federal, state, and healthcare regulatory requirements.</li><li>Coordinate and manage annual audits, cost reports, tax filings, and other external reporting requirements.</li><li>Develop, maintain, and strengthen internal controls, accounting policies, and financial procedures.</li><li>Analyze financial results and present actionable recommendations to senior leadership.</li><li>Mentor, develop, and lead the accounting and finance team while fostering a culture of accountability and continuous improvement.</li></ul><p><br></p>
<p>Growing privately held Manufacturing Company with 40+ year history and leader in their industry located Danvers, MA area is looking for a Controller to join the leadership team. The Controller will report directly into the President and manage a small staff. This role will have complete ownership of all financial reporting, cost accounting, inventory management, transactional accounting activities including accounts payable, accounts receivable, billing, order entry and human resources and payroll functions. Other duties include cash management/reporting, financial analysis, internal controls, tax and insurance reporting and point person dealing with outside CPA firm. This is an excellent opportunity to join a very stable company in a “hands on” leadership role. Experience working in a small company environment required, previous experience with human resources duties preferred. Sage Business works and advanced Excel knowledge is highly desired. This is mainly onsite role but flexibility when needed. Very nice work-life balance opportunity as well. If interested, reach out to Dino Valeri at dino.valeri@roberthalf;com or message me thru LinkedIn. </p>
<p>110,000 - 120,000</p><p><br></p><p><strong><u>Benefits:</u></strong></p><ul><li>medical</li><li>dental</li><li>vision </li><li>401K </li><li>paid time off </li></ul><p>The position oversees daily financial operations—including AP, AR, general ledger, cash flow, budgeting, and forecasting—while maintaining strong internal controls and ensuring GAAP compliance. Responsibilities include preparing and analyzing financial statements, supporting strategic planning with data-driven insights, collaborating with auditors, and leading the finance team to meet deadlines and performance standards. The ideal candidate holds a bachelor’s degree in accounting or finance (CPA or master’s preferred), has 5+ years of controller experience, strong analytical and reporting skills, ERP proficiency (Netsuite preferred), and the ability to work effectively in a fast‑paced environment.</p><p>To apply please email a resume in a Word format to Pam Lim </p>
<p><strong>Job Title:</strong> Controller</p><p><strong>Location:</strong> Greater Hartford, CT Area <strong><em>(On-site, with flexibility)</em></strong></p><p><strong>Position Type:</strong> Full-Time / Permanent</p><p><strong>Recruiter Contact:</strong> Abby Harpp – abby.harpp@roberthalf</p><p><strong>Job Reference:</strong> AH0013451208</p><p><br></p><p>Our client, a well-established and growing manufacturing organization, is seeking a <strong>Controller </strong>to lead accounting operations and support the continued evolution of the finance function. This is a high-impact leadership opportunity for an experienced accounting professional who enjoys improving processes, developing teams, and driving operational excellence.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead all aspects of accounting operations and financial reporting</li><li>Own the monthly, quarterly, and annual close processes</li><li>Ensure compliance with U.S. GAAP and maintain a strong internal control environment</li><li>Partner with finance leadership on reporting, forecasting, and business initiatives</li><li>Drive process improvements across accounting, reporting, and financial operations</li><li>Support audit, compliance, and regulatory requirements</li><li>Oversee cash management and working capital activities</li><li>Develop, mentor, and lead accounting staff while building organizational capability</li></ul>