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15 results for Robotic Process Automation in Usa

Marketing Automation
  • Grand Rapids, MI
  • onsite
  • Temporary
  • 0 - 0 USD / Yearly
  • <p><strong>Overview</strong></p><p>The Marketing Automation Manager is responsible for designing, building, and optimizing automated marketing programs that drive customer engagement, lead generation, conversion, and retention. This role oversees the end‑to‑end execution of automated campaigns, manages the marketing tech stack, partners with cross‑functional teams, and ensures that all programs are executed with precision, alignment, and measurable ROI.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Own the strategy, development, and execution of multi‑channel marketing automation campaigns (email, SMS, in‑app messaging, nurture flows, lead scoring, etc.).</li><li>Build and manage workflows, segmentation strategies, and triggered lifecycle campaigns using tools such as HubSpot, Marketo, Pardot, Eloqua, Klaviyo, or similar platforms.</li><li>Partner with marketing, sales, and product teams to translate business goals into automated programs that improve funnel performance and pipeline velocity.</li><li>Manage and continuously optimize lead scoring models, routing logic, and database hygiene initiatives.</li><li>Oversee A/B testing strategies and performance analysis to improve open rates, CTR, conversions, and overall customer engagement.</li><li>Ensure compliance with email and data regulations (CAN‑SPAM, GDPR, CASL, CCPA).</li><li>Monitor, report, and forecast performance metrics (MQLs, conversion rates, attribution, lifecycle stage movement).</li><li>Serve as the internal SME on marketing automation tools and best practices.</li><li>Collaborate with RevOps/SalesOps to align automation programs with CRM workflows and data governance.</li><li>Maintain a clean, scalable, and organized marketing automation infrastructure.</li></ul><p><br></p>
  • 2026-03-16T00:00:00Z
Marketing Automation
  • Southfield, MI
  • onsite
  • Temporary
  • 0 - 0 USD / Yearly
  • <p><strong>Overview</strong></p><p>The Marketing Automation Manager is responsible for designing, building, and optimizing automated marketing programs that drive customer engagement, lead generation, conversion, and retention. This role oversees the end‑to‑end execution of automated campaigns, manages the marketing tech stack, partners with cross‑functional teams, and ensures that all programs are executed with precision, alignment, and measurable ROI.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Own the strategy, development, and execution of multi‑channel marketing automation campaigns (email, SMS, in‑app messaging, nurture flows, lead scoring, etc.).</li><li>Build and manage workflows, segmentation strategies, and triggered lifecycle campaigns using tools such as HubSpot, Marketo, Pardot, Eloqua, Klaviyo, or similar platforms.</li><li>Partner with marketing, sales, and product teams to translate business goals into automated programs that improve funnel performance and pipeline velocity.</li><li>Manage and continuously optimize lead scoring models, routing logic, and database hygiene initiatives.</li><li>Oversee A/B testing strategies and performance analysis to improve open rates, CTR, conversions, and overall customer engagement.</li><li>Ensure compliance with email and data regulations (CAN‑SPAM, GDPR, CASL, CCPA).</li><li>Monitor, report, and forecast performance metrics (MQLs, conversion rates, attribution, lifecycle stage movement).</li><li>Serve as the internal SME on marketing automation tools and best practices.</li><li>Collaborate with RevOps/SalesOps to align automation programs with CRM workflows and data governance.</li><li>Maintain a clean, scalable, and organized marketing automation infrastructure.</li></ul><p><br></p>
  • 2026-03-16T00:00:00Z
Machine Learning Engineer II
  • Philadelphia, PA
  • onsite
  • Temporary
  • 65 - 72 USD / Hourly
  • <p><strong>Machine Learning Engineer II </strong>(Contract)</p><p><strong>Location: </strong>Hybrid – Philadelphia, PA <strong>or </strong>Washington, DC | Onsite 3–4 days per week</p><p><strong>Assignment Length:</strong> 38 Weeks, Potential for Extension</p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>Research / Machine Learning Engineer II</strong> to support advanced AI/ML initiatives across large-scale consumer-facing platforms, including Search, Browse, Personalization, Campaign Management, and Voice/NLP technologies. This role is heavily focused on <strong>model validation, quality, and automation</strong>, with an emphasis on building and enhancing machine learning models that validate and support AI-driven tools developed by engineering teams.</p><p>The ideal candidate brings a strong quality mindset, hands-on experience with machine learning models, and a deep interest in testing and validating large language models (LLMs) and AI systems in production-like environments.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, and enhance <strong>machine learning models primarily used for validation and quality assurance</strong> of AI/ML-driven tools.</li><li>Develop models that assist in testing, validating, and improving automation frameworks used by engineering and tooling teams.</li><li>Enhance and support existing AI/ML automation tools, including those working with <strong>speech and NLP data</strong>.</li><li>Implement <strong>prompt-based interactions with Large Language Models (LLMs)</strong> to support validation and test use cases.</li><li>Research, evaluate, and experiment with various ML models across multiple domains to determine best-fit solutions.</li><li>Contribute software development efforts toward <strong>proof-of-concept initiatives</strong> in AI/ML, NLP, and related strategic areas (e.g., Computer Vision where applicable).</li><li>Collaborate closely with cross-functional engineering, tooling, and SDET teams across multiple locations.</li><li>Support and mentor engineering teams by promoting modern software development, data practices, and quality-driven AI development.</li><li>Ensure AI/ML solutions meet expectations for <strong>performance, reliability, scalability, and product quality</strong>.</li></ul>
  • 2026-04-02T00:00:00Z
Artificial Intelligence (AI) Engineer
  • Chicago, IL
  • remote
  • Permanent
  • 100000 - 120000 USD / Yearly
  • <p>We’re seeking an AI Workflow Engineer to join a newly formed team focused on advancing internal AI and LLM platforms. In this role, you’ll collaborate with technical colleagues across multiple departments, helping design and build agentic workflow systems and business logic orchestration powered by leading AI solutions.</p><p><br></p><p>We’re looking for professionals with a development background (Python, Node.js, or similar) who are passionate about moving beyond traditional model training and instead want to tackle applied business applications of AI. You’ll be responsible for writing code to coordinate workflows, integrate data sources, and support sophisticated agentic architectures. Experience working with orchestration tools (n8n), integration frameworks, Retrieval-Augmented Generation (RAG), and MCP tools is a big plus.</p><p><br></p><p>Your work will involve:</p><ul><li>Developing AI-driven workflows and conversational agents that connect with internal and external data sources</li><li>Working hands-on with code—even if some tasks use low-code or no-code platforms</li><li>Implementing and optimizing solutions for applied data science challenges</li><li>Reviewing, improving, and championing future initiatives based on evolving business requirements</li></ul><p>Ideal candidates have worked directly with AI or LLM platforms, possess strong development or applied machine learning experience, and are comfortable in fast-moving, innovative environments. Familiarity with NVIDIA-backed infrastructure is desirable but not required.</p><p><br></p><p>If you’re excited about shaping agentic AI solutions, integrating business logic, and driving new workflows, we encourage you to apply.</p>
  • 2026-03-23T00:00:00Z
Artificial Intelligence (AI) Engineer
  • Monroe, NY
  • onsite
  • Permanent
  • 120000 - 175000 USD / Yearly
  • <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>
  • 2026-03-17T00:00:00Z
Artificial Intelligence (AI) Engineer
  • Atlanta, GA
  • remote
  • Temporary
  • 69.6635 - 80.663 USD / Hourly
  • We are looking for an experienced Artificial Intelligence (AI) Engineer to join our team in Atlanta, Georgia. This is a long-term contract position where you will play a pivotal role in advancing AI initiatives across clinical and business operations. The ideal candidate will have a strong technical background, excellent communication skills, and the ability to collaborate across multiple departments to drive innovative solutions in healthcare.<br><br>Responsibilities:<br>• Partner with various departments to identify, design, and implement AI solutions that address clinical, financial, and operational needs.<br>• Evaluate and integrate third-party AI tools and platforms, with a focus on healthcare applications such as NexTech, call center automation, AI-powered scribing, and clinical trial identification.<br>• Develop and support AI applications to enhance patient identification for trials, automate documentation, and improve workflows.<br>• Build and maintain AI-driven dashboards and analytics using tools like Power BI to provide actionable insights for clinical and business teams.<br>• Ensure AI integrations meet scalability, security, and compliance requirements, adhering to healthcare data privacy standards.<br>• Serve as a strategic advisor by proactively identifying opportunities for organizational improvement through AI.<br>• Collaborate with stakeholders across IT and non-IT teams to foster innovation and streamline operations.<br>• Stay updated on industry trends, regulatory standards, and emerging AI technologies relevant to healthcare.<br>• Provide technical leadership and guidance on AI-related projects, ensuring alignment with organizational goals.
  • 2026-03-30T00:00:00Z
Artificial Intelligence (AI) Engineer
  • Rye, NY
  • onsite
  • Permanent
  • 90000 - 110000 USD / Yearly
  • We are looking for an Artificial Intelligence (AI) Engineer to join our IT team in Rye, New York. In this role, you will design and implement AI-driven automation systems to enhance operational efficiency, streamline workflows, and support data-driven decision-making across the organization. This position offers an exciting opportunity to apply cutting-edge AI technologies to real-world challenges while fostering innovation within the company.<br><br>Responsibilities:<br>• Develop and deploy AI-powered solutions to automate workflows and increase productivity across various departments.<br>• Design and implement intelligent agents capable of assisting employees and automating decision-making processes.<br>• Research and evaluate emerging AI technologies to identify tools that can improve operational efficiency.<br>• Collaborate with stakeholders to identify opportunities for AI-driven process improvements and automation.<br>• Create detailed documentation of AI solutions, architectures, and workflows for knowledge sharing within the organization.<br>• Participate in pilot programs and proof-of-concept initiatives to experiment with new AI applications.<br>• Optimize and manage data structures and workflows to support AI-driven applications.<br>• Ensure scalability and reliability of deployed AI systems to meet business needs.<br>• Stay updated on advancements in AI and machine learning to continuously improve solutions.
  • 2026-03-30T00:00:00Z
Artificial Intelligence (AI) Engineer
  • Dallas, TX
  • onsite
  • Permanent
  • 0 - 0 USD / Yearly
  • We are looking for an experienced Artificial Intelligence (AI) Engineer to join our innovative team in Dallas, Texas. In this role, you will design and implement cutting-edge AI solutions, leveraging your expertise to solve complex problems and drive technological advancements. This position offers the opportunity to work on impactful projects that integrate advanced machine learning and AI technologies.<br><br>Responsibilities:<br>• Design, develop, and optimize AI models and algorithms to address specific business needs.<br>• Implement computer vision solutions to enhance functionality and improve detection systems.<br>• Collaborate with cross-functional teams to integrate AI technologies into existing systems.<br>• Utilize frameworks such as TensorFlow to build and deploy scalable machine learning models.<br>• Identify opportunities for innovation and propose strategies for AI-driven improvements.<br>• Conduct research on emerging AI trends to ensure solutions remain cutting-edge.<br>• Test, validate, and refine AI systems to ensure accuracy and reliability.<br>• Develop documentation and provide guidance for the integration and application of AI technologies.<br>• Monitor system performance and troubleshoot issues to maintain optimal functionality.<br>• Support the development of agentic AI systems to improve automation and decision-making processes.
  • 2026-03-23T00:00:00Z
Artificial Intelligence (AI) Engineer
  • Houston, TX
  • onsite
  • Permanent
  • 150000 - 180000 USD / Yearly
  • Artificial Intelligence (AI) Engineer,Computer Vision,TensorFlow,Machine Learning,Detection,Artificial Intelligence (A
  • 2026-03-13T00:00:00Z
Artificial Intelligence (AI) Engineer
  • Indianapolis, IN
  • onsite
  • Temporary
  • 0 - 0 USD / Yearly
  • We are looking for a skilled Artificial Intelligence (AI) Engineer to join our team in Indianapolis, Indiana. In this long-term contract role, you will apply your expertise in machine learning, computer vision, and AI technologies to develop innovative solutions for complex challenges. If you&#39;re passionate about advancing AI capabilities and enjoy working in a collaborative environment, we’d love to hear from you.<br><br>Responsibilities:<br>• Design and implement machine learning models to solve real-world problems.<br>• Develop advanced computer vision algorithms for object detection and recognition.<br>• Optimize AI frameworks using TensorFlow to enhance system performance.<br>• Conduct data analysis and preprocessing to improve model accuracy and reliability.<br>• Collaborate with cross-functional teams to integrate AI solutions into existing workflows.<br>• Test and validate models to ensure robustness and scalability.<br>• Research emerging trends in artificial intelligence to incorporate cutting-edge techniques.<br>• Provide technical guidance and mentorship to entry-level team members.<br>• Document processes and technical specifications for knowledge sharing and future reference.
  • 2026-03-30T00:00:00Z
Artificial Intelligence (AI) Engineer
  • Dallas, TX
  • onsite
  • Permanent
  • 150000 - 175000 USD / Yearly
  • We are looking for a skilled Artificial Intelligence (AI) Engineer to design, implement, and optimize cutting-edge AI solutions in Microsoft Azure. This role requires a proactive individual with expertise in integrating and maintaining advanced AI tools while ensuring compliance, security, and performance. Join our dynamic team in Dallas, Texas, to contribute to innovative projects and collaborate with cross-functional teams.<br><br>Responsibilities:<br>• Develop and maintain scalable AI solutions using Microsoft Azure platforms, including Cosmos DB, Function Apps, and Azure OpenAI.<br>• Ensure strict compliance with data governance policies and manage sensitive information securely.<br>• Monitor system performance and troubleshoot issues using Application Insights to enhance user experience and optimize costs.<br>• Manage and improve AI-enhanced chatbot functionalities, focusing on document embedding and vector search pipelines.<br>• Collaborate with cross-functional teams to integrate AI features and uphold quality standards.<br>• Implement best practices for secure integrations with Azure Key Vault and other tools.<br>• Optimize cloud resources, deployment pipelines, and rate limits for seamless operations.<br>• Document processes and solutions while providing analytics to support continuous improvement.
  • 2026-03-25T00:00:00Z
Quality Assurance Analyst (SDET, Automated, Java, Python)...
  • Philadelphia, PA
  • onsite
  • Temporary
  • 45 - 52 USD / Hourly
  • <p><strong>Quality Assurance Analyst (SDET) III – Contract</strong></p><p><strong>Employment Type:</strong> 38 Week Contract, Potential for Extension</p><p><strong>Location:</strong> <em>Philadelphia, PA (Hybrid 4x onsite weekly) </em></p><p><strong>Pay: </strong>Available on W2</p><p><strong>Overview</strong></p><p>We are seeking an experienced <strong>Quality Assurance Analyst (SDET) III</strong> to support automated testing, QA strategy, and high‑quality software delivery within a collaborative Agile environment. This role is ideal for a hands‑on QA professional with deep experience in test automation, Python scripting, Java QA, API testing, and continuous integration tools.</p><p><strong>Key Responsibilities</strong></p><ul><li>Establish testing milestones, monitor progress, identify delivery risks, and drive mitigation strategies.</li><li>Develop and execute test cases, use cases, and automated scripts using Python for Java middleware development.</li><li>Test RESTful services, JSON payloads, and APIs; work with tools such as Jenkins, Splunk, Swagger, and other CI/CD systems.</li><li>Define and execute business scenarios that align with real-world operational needs.</li><li>Track and report quality assurance metrics (defects, defect counts, test results, and overall test status).</li><li>Collect and analyze data to support software process improvements and incorporate enhancements into broader business workflows.</li><li>Create and execute formal test plans; perform test planning, test case writing, test automation, and manual/automated test execution.</li><li>Document defects, support troubleshooting, and assist in resolution efforts.</li><li>Provide training and act as an internal quality consultant for technical teams.</li><li>Conduct quality audits across IT teams to ensure adherence to established quality standards, processes, and methodologies.</li></ul>
  • 2026-04-02T00:00:00Z
Software Engineering III
  • Egg Harbor Township, NJ
  • onsite
  • Temporary
  • 75.24 - 75.24 USD / Hourly
  • <p>We are looking for a Software Engineer with strong AI‑enabled development experience to support the clients System Replacement Product Delivery Team. This team is delivering real‑time, safety‑critical systems that support national air traffic operations for the United Kingdom. You will contribute to modernizing a high‑availability air traffic management platform using both traditional software engineering practices and cutting‑edge AI‑augmented development techniques.</p><p>This role will involve designing, developing, testing, and optimizing software that directly impacts air traffic safety and system reliability. You will work both independently and collaboratively, influencing technical strategy, reviewing the work of peers, and driving high‑quality solutions across the SDLC.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>·      Design, develop, test, and maintain software for real‑time, high‑availability systems.</p><p>·      Apply AI‑assisted development tools to accelerate coding, refactoring, debugging, and automated test generation.</p><p>·      Use AI responsibly across the full SDLC, including requirements analysis, design, development, testing, documentation, and code reviews.</p><p>·      Analyze complex system requirements and translate them into efficient, maintainable technical designs.</p><p>·      Develop and maintain automation scripts across development, test, and production environments.</p><p>·      Troubleshoot and debug software issues in multi‑threaded, real‑time environments.</p><p>·      Promote code quality, reuse, traceability, and cross‑team collaboration.</p><p>·      Collaborate with internal project teams and stakeholders to shape solution design and engineering approaches.</p>
  • 2026-03-11T00:00:00Z
Software Engineering II
  • Gaithersburg, MD
  • onsite
  • Temporary
  • 53 - 60 USD / Hourly
  • <p><strong>Locations:</strong> Gaithersburg, MD • Eagan, MN • Egg Harbor, NJ</p><p><strong>Schedule:</strong> Hybrid (3 days onsite / 2 days remote)</p><p><strong>Clearance:</strong> Ability to obtain and maintain Public Trust (U.S. Citizenship required)</p><p><strong>Overview</strong></p><p>We are seeking a Junior Software Engineer with AI-enabled development experience to support a large-scale modernization program involving real‑time, high‑availability, safety‑critical systems. This role combines traditional software engineering with emerging AI‑augmented development techniques to enhance delivery, code quality, and system performance.</p><p>This position is ideal for engineers who actively apply AI in their day‑to‑day workflow and want to contribute to a mission-critical, complex engineering environment.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Design, develop, test, and maintain software for real-time, high-availability systems.</li><li>Use AI-assisted development tools to accelerate coding, refactoring, debugging, and automated test generation.</li><li>Apply responsible AI practices across the full SDLC — requirements, design, implementation, testing, documentation, and code review.</li><li>Analyze complex system requirements and translate them into efficient, maintainable designs.</li><li>Develop and maintain automation scripts across development, test, and production environments.</li><li>Promote code quality, reuse, traceability, and cross-team collaboration.</li></ul>
  • 2026-03-11T00:00:00Z
DevOps Software Engineer
  • Orem, UT
  • remote
  • Permanent
  • 110000 - 130000 USD / Yearly
  • We are looking for an experienced DevOps Engineer to join our team in Orem, Utah. In this role, you will collaborate with cross-functional teams to build, deploy, and maintain scalable and reliable systems, ensuring seamless integration and automation of workflows. You will work with cutting-edge technologies to enhance the infrastructure and optimize the development lifecycle.<br><br>Responsibilities:<br>• Design, implement, and maintain infrastructure-as-code solutions using tools like Terraform or AWS CDK.<br>• Develop and optimize containerized deployments using Docker and Kubernetes.<br>• Collaborate with software developers to integrate DevOps practices into the software development lifecycle.<br>• Set up and manage CI/CD pipelines using Bitbucket Pipelines or similar tools.<br>• Monitor and troubleshoot system performance using AWS services such as CloudWatch.<br>• Build scalable backend systems using .NET Core and C#, ensuring efficient data handling with PostgreSQL and Entity Framework Core.<br>• Develop and maintain frontend systems with React, TypeScript, and state management libraries like Redux Toolkit.<br>• Implement authentication and authorization solutions using AWS Cognito.<br>• Enhance testing frameworks and tools, including Vitest, Playwright, and React Testing Library.<br>• Support microservices architecture and ensure seamless communication between components.
  • 2026-03-23T00:00:00Z