91 Results for Rpa Engineer Jobs

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Integration Engineer

Bethesda, MD
onsite
Temporary / Contract
80 - 124 USD / Hourly
Integration EngineerLocation: Bethesda, MD (Hybrid)OverviewSeeking an experienced Integration Engineer to design, build, deploy, and support enterprise integrations, APIs, connectors, workflows, and MCP servers/tools. This hands-on role owns integrations throughout their lifecycle and helps shape architecture, integration standards, and engineering best practices.Works within Integration Engineering alongside Application Engineering and Quality Engineering, supporting Azure Integration Services (AIS), Celigo, and other integration platforms.Key Responsibilities<ul><li>Design, build, support, and troubleshoot integrations using Logic Apps, Azure Functions, Service Bus, Event Grid, and Celigo.</li><li>Develop APIs, webhooks, connectors, adapters, data mappings, transformations, validation, synchronization, and integration workflows.</li><li>Build and support MCP servers and AI integrations, including schemas, tool definitions, security controls, permissions, auditing, and protocol compatibility.</li><li>Develop solutions using C#/.NET, Python, JavaScript/TypeScript.</li><li>Define API standards including OpenAPI, versioning, authentication, authorization, pagination, rate limiting, and error handling.</li><li>Partner with architecture leadership to improve scalability, reliability, maintainability, security, performance, and cost optimization.</li><li>Create reusable frameworks, templates, connectors, standards, and integration patterns.</li><li>Implement security controls including least-privilege access, encryption, managed identities, credential management, and secure data handling.</li><li>Build monitoring, alerting, logging, retries, reconciliation, recovery, and production support processes.</li><li>Support automated testing, CI/CD, release management, source control, and infrastructure as code.</li><li>Collaborate with application, data, AI, business, and vendor teams while maintaining integration documentation and ownership.</li></ul>Preferred Qualifications<ul><li>Azure API Management, Key Vault, Application Insights, Log Analytics, deployment automation, and private connectivity.</li><li>Integrations involving ERP, CRM, SaaS, financial, and legacy systems (NetSuite, DealCloud, Appian, etc.).</li><li>Experience modernizing point-to-point integrations and building reusable frameworks.</li><li>Financial services or regulated industry experience.</li><li>Azure and/or Celigo certifications.</li></ul>Success Metrics<ul><li>Reliable integrations with accurate data and strong production performance.</li><li>Reusable APIs, connectors, event flows, and MCP tools.</li><li>Improved platform architecture driven by implementation feedback.</li><li>Fast issue detection, controlled recovery, and continuous improvement.</li><li>Documented, versioned, and well-supported integrations across AIS, Celigo, and other platforms.</li></ul>
2026-11-03T00:00:00Z

AI / Machine Learning Engineer

Des Moines, IA
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
Position: AI / Machine Learning Engineer - Direct Hire Permanent Opportunity Location: Hybrid - Des Moines, IA Salary: $80,000 - 100,000 base annual salary plus exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** AI / Machine Learning Engineer Are you passionate about applying machine learning and advanced analytics to solve real-world business challenges? We're partnering with an established and growing technology consulting organization seeking an AI / Machine Learning Engineer to help expand its AI, predictive analytics, and data science capabilities. In this highly visible role, you'll work directly with business leaders and analysts to develop machine learning models, improve anomaly detection, build forecasting solutions, and influence the future direction of the company's AI initiatives. What You'll Do • Develop and improve machine learning and predictive analytics models • Analyze complex data using Python and SQL • Support anomaly detection, forecasting, and advanced analytics initiatives • Evaluate model performance and recommend improvements • Collaborate with analysts, stakeholders, and leadership to solve business problems • Help shape AI/ML tools, methodologies, and best practices What We're Looking For • 1-3+ years of AI, Machine Learning, Data Science, or Advanced Analytics experience • Strong Python skills with libraries such as Pandas, NumPy, and Scikit-Learn • Experience with statistical modeling, predictive analytics, and machine learning • Strong SQL and data analysis skills • Ability to explain technical concepts to both technical and non-technical audiences • Collaborative, self-directed, and entrepreneurial mindset Why Join? • Make a visible impact in a growing AI/ML practice • Work directly with decision-makers and leadership • Collaborative, team-oriented culture with exceptional employee tenure • Hybrid work environment • Opportunity to influence strategy, architecture, and future AI initiatives • Competitive compensation and benefits This is an excellent opportunity for someone who enjoys combining technical depth, business impact, and hands-on problem solving in a flexible, entrepreneurial environment. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-14T00:00:00Z

Operational Technology Engineer

New Holland, PA
onsite
Permanent / Full Time
175000 - 190000 USD / Yearly
We are looking for an Automation Engineer to support industrial technology systems in New Holland, Pennsylvania. This position focuses on building reliable connections between plant operations and enterprise platforms while helping teams maintain secure, high-performing OT environments. The role also works closely with operational and technical stakeholders to strengthen system architecture, improve support processes, and uphold cybersecurity standards across the facility. Responsibilities: • Design and deploy automation and operational technology solutions that enable dependable system performance and effective data exchange across plant and enterprise environments. • Partner with production, engineering, and IT teams to align shop-floor control systems with broader infrastructure and business applications. • Review and confirm industrial architecture plans to ensure technical soundness, scalability, and compliance with organizational standards. • Establish and maintain connectivity between manufacturing automation platforms and company systems used for reporting, monitoring, and data sharing. • Support site teams in sustaining OT equipment and software by promoting preventive maintenance and resolving performance issues. • Guide troubleshooting efforts for operational technology incidents and help drive timely corrective actions to minimize disruption. • Apply and maintain cybersecurity controls that reduce risk to plant systems and strengthen protection against operational threats. • Execute remediation activities identified through security reviews, assessments, and audit findings within OT environments. • Enforce industrial cybersecurity policies and site procedures to ensure operational technology systems remain compliant and secure.
2026-10-27T00:00:00Z

Artificial Intelligence (AI) System Engineer

Albuquerque, NM
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions. Responsibilities:• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.Other duties as needed
2026-11-02T00:00:00Z

DevOps II / SRE

Philadelphia, PA
onsite
Temporary / Contract
40 - 45 USD / Hourly
DevOps II / Site Reliability EngineerLong Term Contract, Potential for Extension or Conversion Location: Philadelphia, PA Onsite/Hybrid OverviewWe are seeking a DevOps II / Site Reliability Engineer to help build and mature a growing Site Reliability Engineering (SRE) function supporting large-scale digital platforms. This role will focus on cloud infrastructure, automation, monitoring, reliability, and release management for customer-facing web applications. You will work closely with product, engineering, and operations teams to improve application performance, scalability, and operational excellence.This is an excellent opportunity for someone who enjoys solving complex infrastructure challenges, driving automation initiatives, and influencing reliability strategies across modern cloud environments.Key Responsibilities<ul><li>Design, implement, and support scalable cloud infrastructure solutions.</li><li>Lead automation initiatives to improve operational efficiency and system reliability.</li><li>Build and maintain configuration management and infrastructure-as-code solutions.</li><li>Develop and enhance application monitoring, alerting, and observability capabilities.</li><li>Partner with product and engineering teams to identify and address reliability requirements.</li><li>Support CI/CD pipelines, release automation, and deployment processes.</li><li>Manage and optimize centralized application logging and performance reporting.</li><li>Contribute to infrastructure roadmaps and long-term platform reliability strategies.</li><li>Drive continuous improvement of site reliability and operational practices.</li></ul>
2026-11-06T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building intelligent, production-ready applications that combine modern software engineering with advanced agent-based AI capabilities. The ideal candidate will lead solutions from early design through deployment, creating scalable services, responsive user experiences, and reliable AI-driven workflows that support business objectives. Responsibilities:• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.
2026-10-30T00:00:00Z

Artificial Intelligence (AI) Engineer

Monroe, NY
onsite
Permanent / Full Time
150000 - 225000 USD / Yearly
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. Key Responsibilities: <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>
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Cincinnati, OH
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to join a long-term contract opportunity based in Cincinnati, Ohio. In this role, you will create and operationalize AI and machine learning solutions with a strong focus on generative AI, helping translate business needs into secure, scalable applications. You will collaborate across technical and business teams to deliver production-ready models, strengthen AI adoption, and support measurable outcomes through thoughtful engineering and evaluation. Responsibilities: • Create, train, and deploy scalable AI and machine learning solutions, including generative AI applications such as large language models, retrieval-augmented systems, and prompt-driven workflows. • Build and maintain data pipelines, feature preparation processes, and model training and evaluation jobs using Python and established machine learning frameworks. • Deliver models into production as APIs or batch processes, and improve inference performance with attention to speed, reliability, and cost efficiency. • Assess emerging generative AI tools and model architectures, including embeddings, vector search, and diffusion-based approaches, to support defined business use cases. • Develop prompt strategies, orchestration flows, safety controls, and evaluation methods, using structured testing to improve response quality and reduce risk. • Apply MLOps and LLMOps practices such as experiment tracking, version control, deployment automation, monitoring, alerting, and drift detection. • Integrate AI services with enterprise data platforms and business systems, including APIs, event-driven architectures, data warehouses, and reporting environments. • Partner with product, analytics, IT, and data architecture teams to clarify requirements, document technical decisions, and deliver solutions that meet agreed objectives. • Promote responsible AI practices by incorporating privacy, security, fairness, and content safety considerations into model behavior, testing, and deployment. • Track performance indicators for AI initiatives, share insights on effectiveness and adoption, and stay current with advances in generative AI and broader machine learning methods.
2026-11-05T00:00:00Z

Artificial Intelligence (AI) Engineer

Jacksonville, FL
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale advanced generative AI solutions for a highly regulated financial services setting in Jacksonville, Florida. This position is ideal for a hands-on engineer who can turn concepts into dependable production applications while balancing speed, quality, and security. You will work across AI architecture, application development, and cloud deployment to deliver intelligent capabilities that support enterprise business goals. Responsibilities: • Design and implement generative AI applications and agent-based workflows that solve complex business challenges in a financial services environment. • Build end-to-end AI capabilities, including solution design, development, testing, deployment, and ongoing performance monitoring. • Connect large language models to enterprise products and operational processes to deliver practical, production-ready functionality. • Develop and maintain data preparation workflows such as document chunking, embedding generation, indexing, and vector search optimization. • Configure and manage cloud infrastructure using Terraform to support scalable, resilient, and secure AI services. • Engineer robust backend components and enterprise applications using C# and the Microsoft technology stack. • Collaborate with technical and business stakeholders to define requirements, prioritize deliverables, and drive high-quality execution. • Ensure AI systems meet expectations for reliability, governance, data protection, and compliance within a regulated industry. • Continuously refine models, pipelines, and application performance to improve accuracy, efficiency, and operational stability.
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Irvine, CA
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to join a team building intelligent applications and production-ready AI services in Irvine, California. This role combines software engineering, applied AI development, and operational ownership, with a focus on creating reliable user-facing tools and scalable backend systems. The ideal candidate brings hands-on experience with modern language model platforms, strong Python development skills, and the ability to translate business goals into practical AI solutions. Responsibilities: • Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration. • Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior. • Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features. • Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences. • Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring. • Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance. • Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage. • Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements. • Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
2026-10-22T00:00:00Z

Artificial Intelligence (AI) Engineer

Lawrenceville, GA
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization. Responsibilities: • Partner with business leaders to understand operational pain points and identify where AI can create measurable value. • Translate business needs into solution concepts, technical approaches, and implementable AI initiatives. • Design, develop, test, and deploy AI and machine learning applications that address real-world business problems. • Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities. • Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow. • Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities. • Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes. • Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
2026-10-21T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join our team. This position focuses on building intelligent applications and scalable software systems that support advanced AI-driven products in the real estate and property industry. The ideal candidate brings deep engineering expertise across modern backend development, API design, front-end integration, and agent-based AI architecture. You will play a key role in shaping production-ready AI solutions that are reliable, secure, and aligned with business goals. Responsibilities:• Lead full lifecycle development of AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.• Design and deliver agent-based AI solutions that support reasoning, multi-step execution, tool usage, memory handling, and workflow orchestration.• Build, test, and maintain scalable backend applications and services using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks such as Express or NestJS.• Create and support RESTful and GraphQL interfaces that connect web applications, internal platforms, databases, and external tools.• Develop React-based user interfaces and ensure smooth interaction between front-end components and backend services.• Architect microservices and distributed application patterns that improve scalability, resilience, and maintainability.• Improve system efficiency by tuning application performance, refining database usage, and managing cloud resources effectively.• Apply strong security practices across authentication, authorization, deployment, and production operations while supporting CI/CD pipelines and containerized environments.• Establish monitoring, tracing, evaluation, and debugging practices for AI systems in production, and resolve issues across cloud-based environments.• Partner with product, design, DevOps, data, and engineering teams while providing technical guidance on AI platform strategy and engineering standards.
2026-10-30T00:00:00Z

Artificial Intelligence (AI) Engineer

Conshohocken, PA
onsite
Permanent / Full Time
170000 - 180000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to help turn promising AI concepts into reliable, scalable solutions used across the business. This role works closely with technology, product, and operational teams in Conshohocken, Pennsylvania to guide practical delivery decisions, strengthen production AI systems, and ensure solutions are secure, governable, and useful for everyday workflows. The ideal candidate combines hands-on engineering depth with strong judgment, enabling teams and stakeholders to move from experimentation to measurable business impact. Responsibilities: • Collaborate with cross-functional technology and product teams to advance AI initiatives from early testing into stable production environments while aligning with existing ownership across the organization. • Design, build, and support production-ready AI systems, while providing technical guidance and mentorship to other engineers contributing to delivery efforts. • Define and improve the end-to-end productionization process for AI solutions, including system architecture, model evaluation, performance optimization, cost management, observability, and continuous iteration. • Embed AI capabilities into operational workflows so that teams gain practical adoption, improved efficiency, and stronger output quality rather than isolated proof-of-concept results. • Apply responsible AI practices that support healthcare-oriented expectations around privacy, security, governance, and model oversight without slowing delivery unnecessarily. • Assess third-party platforms, vendors, and integration approaches to identify scalable options and avoid tools that create fragmented or short-term solutions. • Drive automation opportunities across content and compliance-related processes to create more efficient and differentiated delivery capabilities. • Contribute technical expertise during client discussions, proposals, and new business efforts by clearly representing what can be built and delivered in real-world timelines. • Engage confidently with client and internal stakeholders across IT, brand, medical, and agency functions, translating technical considerations into practical business decisions. • Help non-technical users adopt AI tools by promoting governed, accessible solutions that fit the needs of teams beyond engineering.
2026-11-03T00:00:00Z

Artificial Intelligence (AI) Engineer

Irvine, CA
onsite
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions. Responsibilities: • Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making. • Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions. • Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost. • Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way. • Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability. • Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns. • Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation. • Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions. • Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
2026-10-22T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring for a Principal level Software Engineer to focus on agentic workflows and AI software products. In this role, you will lead full product development efforts while creating intelligent, scalable applications that combine agentic AI capabilities with modern web technologies. The position calls for a hands-on engineer who can build reliable backend systems, contribute to user-facing experiences, and partner across teams to deliver secure, high-performing solutions. Responsibilities:• Lead the full software development lifecycle for AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.• Create and refine agentic AI workflows that support business objectives and integrate effectively with application services.• Build, test, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.• Develop and maintain RESTful or GraphQL interfaces that enable dependable communication between applications and services.• Contribute to front-end development with React, ensuring smooth interaction between user interfaces and backend functionality.• Architect and support microservices-based and distributed systems designed for reliability, flexibility, and growth.• Improve overall system efficiency by tuning application performance, refining database access patterns, and managing cloud resource consumption.• Apply strong security practices by implementing access control, authentication, and authorization measures across applications.• Oversee containerized delivery processes and automated deployment workflows using Docker and CI/CD tools, while diagnosing and resolving production issues in cloud environments.• Work closely with product, design, and DevOps partners to deliver maintainable, well-documented solutions that meet project goals.
2026-11-02T00:00:00Z

Artificial Intelligence (AI) Engineer

Jupiter, FL
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create practical solutions that improve how teams work, analyze information, and make decisions. This position is based in Jupiter, Florida, and focuses on designing intelligent applications, workflow automations, and data-driven tools that support business and financial operations. You will collaborate with stakeholders across the organization to translate open-ended challenges into reliable, scalable products built with modern engineering and cloud technologies. Responsibilities: • Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities. • Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency. • Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights. • Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support. • Automate recurring deliverables across finance, accounting, and operational reporting functions. • Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments. • Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes. • Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation. • Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
2026-11-03T00:00:00Z

Sr Cloud Security Engineer

Dallas, TX
onsite
Temporary to Hire
75 - 83 USD / Hourly
I’m working with a Healthcare technology organization seeking a Senior Cloud Security Engineer to design, automate, and operate cloud security controls within a Microsoft Azure environment. This role will focus on cloud security engineering, automated remediation, identity security, DevSecOps integration, and compliance within a highly regulated environment. POSITION: AZURE CLOUD SECURITY LOCATION: DALLAS, 75201 (HYBRID 3 DAYS ONSITE)DURATION: 6 MONTH CONTRACT TO PERMANENTSALARY: 155K – 170K DEPENDING ON EXPERIENCE RESPONSIBILITIES<ul><li>Engineer and support cloud security platforms including Wiz, Microsoft Defender for Cloud, and related Azure security technologies.</li><li>Design automation workflows that move security findings from detection through remediation using APIs, scripting, and event-driven architectures.</li><li>Implement policy-as-code, Infrastructure-as-Code security controls, Azure Policy, and CI/CD security guardrails.</li><li>Secure Azure identity and network environments including Microsoft Entra ID, Conditional Access, PIM, Azure Firewall, NSGs, and Fortinet solutions.</li><li>Partner with DevOps, SRE, and infrastructure teams to improve cloud security posture, incident response capabilities, and compliance readiness.</li></ul>
2026-10-29T00:00:00Z

Industrial Software & Applications Engineer

Canonsburg, PA
onsite
Permanent / Full Time
85000 - 125000 USD / Yearly
We are looking for an Industrial Software & Applications Engineer to join a permanent team supporting industrial technology initiatives in Pennsylvania. This position blends software engineering with automation support, offering the opportunity to build and enhance applications that improve visibility, reliability, and performance across operational systems. The role is well suited for someone who enjoys solving technical problems, working with connected equipment, and contributing to projects involving industrial data, controls, and modern software tools. Responsibilities: • Build, maintain, and enhance software applications that support the monitoring, control, and analysis of industrial operations. • Work with automation hardware and software such as PLCs, HMIs, sensors, and instrumentation to support system connectivity and functional performance. • Develop scripts, APIs, dashboards, and reporting tools that help teams access operational data and improve decision-making. • Assist with collecting, validating, transforming, and processing industrial data for both real-time use and longer-term analysis. • Troubleshoot communication links, interfaces, and networked systems to improve reliability across connected industrial environments. • Contribute to system testing, commissioning, validation, and deployment activities for new or updated software and automation solutions. • Analyze equipment and process data to identify trends, support predictive maintenance efforts, and recommend operational improvements. • Create clear technical documentation, including diagrams, procedures, test plans, and troubleshooting references. • Support initiatives involving cloud platforms, edge computing, remote connectivity, and cybersecurity practices for industrial systems.
2026-10-21T00:00:00Z

Platform Engineer

Wayzata, MN
onsite
Temporary / Contract
55 - 65 USD / Hourly
We are looking for an experienced Azure platform engineering specialist to support enterprise-scale cloud capabilities. This long-term contract position focuses on shaping, enhancing, and sustaining Azure platform services that enable business-critical applications and technology initiatives. The role calls for a hands-on engineer who can work independently, partner with cross-functional teams, and deliver reliable, secure, and scalable Azure solutions across a broad technical landscape. Responsibilities: • Architect, implement, and support Azure platform services that meet enterprise application and infrastructure needs. • Build and enhance Azure environments spanning network connectivity, gateway services, security controls, and container-based platforms. • Develop and maintain Azure management capabilities to improve governance, consistency, and operational efficiency. • Establish and support CI/CD workflows, DevOps practices, and repository standards to streamline platform delivery. • Configure and optimize Azure monitoring solutions to strengthen availability, performance visibility, and incident response. • Contribute to Azure AI and data platform initiatives, including support for modern AI-driven and data-centric services. • Evaluate existing Azure implementations and introduce improvements that raise performance, stability, and functionality. • Translate technical and business objectives into practical Azure platform designs and implementation plans. • Partner with application, infrastructure, and security teams to resolve complex platform issues and support ongoing product delivery.
2026-10-26T00:00:00Z

Engineer

Madison, WI
remote
Temporary / Contract
42 - 60 USD / Hourly
We are seeking a hands-on Microsoft 365 Engineer with a strong focus on Power Platform and SharePoint Online administration, configuration, and production support. This role will support and maintain a large-scale Microsoft environment, with responsibilities spanning Power Platform, SharePoint, and the broader Microsoft 365 ecosystem.This is an engineer-level position with a strong operational and administrative focus. The ideal candidate will have experience managing platforms, supporting business users, troubleshooting technical issues, maintaining configurations, and ensuring the reliability of enterprise collaboration tools. While a solid understanding of Microsoft 365 is required, the primary focus will be on Power Platform and SharePoint administration rather than solution architecture or full-scale application development.Key Responsibilities<ul><li>Provide day-to-day administration, configuration, and operational support for Microsoft Power Platform, including Power Apps, Power Automate, and Power Platform environments.</li><li>Administer and support SharePoint Online, including site administration, permissions, access management, configurations, and troubleshooting.</li><li>Manage Power Platform environments, security roles, governance settings, connectors, and user access.</li><li>Support Power Apps and Power Automate solutions, troubleshooting issues, managing connections, and assisting with operational maintenance.</li><li>Monitor platform performance, investigate incidents, and resolve production support issues across Power Platform and SharePoint.</li><li>Provide administration and support across Microsoft 365 services, including Teams, Exchange Online, Office applications, and Copilot.</li><li>Manage incoming support requests, troubleshoot technical issues, and work through ticketing systems to ensure timely resolution.</li><li>Navigate Microsoft 365 and Power Platform administrative portals to diagnose issues and make configuration changes.</li><li>Utilize PowerShell scripting to support administrative tasks, troubleshooting, and routine maintenance.</li><li>Assist with platform updates, ongoing maintenance, access reviews, and configuration management.</li><li>Document administrative procedures, troubleshooting steps, and issue resolutions.</li><li>Collaborate with engineering, infrastructure, and business teams to support platform stability and ongoing operational needs.</li></ul>
2026-11-03T00:00:00Z

Principal Engineer

Boxborough, MA
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for an experienced Principal Engineer to guide advanced testing and compliance efforts for utility-scale renewable energy systems in Boxborough, Massachusetts. This role will provide technical direction across validation programs for solar photovoltaic equipment, battery energy storage solutions, and associated electrical systems while partnering with clients and internal teams to ensure regulatory alignment. The ideal candidate brings strong engineering judgment, hands-on testing expertise, and the ability to translate complex standards into practical, project-ready solutions. Responsibilities: • Direct comprehensive testing, verification, and system integration activities for large-scale solar, energy storage, and electrical products. • Create, evaluate, and authorize detailed test protocols, execution methods, and formal engineering documentation. • Apply relevant domestic and international codes and standards to determine compliance pathways and certification requirements. • Analyze test results, recognize performance patterns, and recommend technical actions to improve quality and readiness. • Conduct or support on-site inspections and operational assessments of photovoltaic and energy storage installations. • Advise customers and cross-functional engineering groups on compliance expectations, technical risks, and validation strategies. • Oversee project timelines, resource coordination, and stakeholder communication to keep testing programs on track. • Contribute to accreditation activities and uphold quality practices that support reliable and defensible test outcomes. • Act as a senior technical reference for standards interpretation, product evaluation, and certification-related decisions.
2026-11-06T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>
2026-10-30T00:00:00Z

Cyber Security Engineer

Madison, WI
onsite
Temporary / Contract
60 - 72 USD / Hourly
We are seeking a Cyber Security Engineer with strong networking and firewall expertise to support an enterprise micro-segmentation initiative. This role will focus on analyzing network traffic, identifying application dependencies, and developing security policies that control communication between applications, infrastructure, and end-user devices.The ideal candidate has hands-on experience with stateful firewalls, network security rules, and traffic analysis. Experience with micro-segmentation platforms is highly desirable, but strong networking fundamentals are the priority. Experience with Illumio is a plus.Responsibilities<ul><li>Analyze application and infrastructure traffic flows to identify communication patterns and dependencies.</li><li>Design, document, test, and implement micro-segmentation policies and network security rules.</li><li>Determine which network communications should be permitted or denied based on application requirements and security standards.</li><li>Collaborate with application owners, infrastructure teams, and security engineers to validate communication requirements.</li><li>Develop and refine enforcement policies to improve security and reduce overly permissive network access.</li><li>Support the remediation and replacement of legacy security rules.</li><li>Participate in implementation planning, testing, change management, and production deployments.</li><li>Track assignments, document findings, and manage work through project management tools.</li><li>Communicate technical findings and policy recommendations to both technical and non-technical stakeholders.</li><li>Work collaboratively across geographically distributed teams to support project execution.</li></ul>
2026-11-06T00:00:00Z

Cyber Security Engineer

Appleton, WI
onsite
Temporary / Contract
42 - 60 USD / Hourly
We are looking for a Cyber Security Engineer to support and strengthen security operations for a construction-focused organization in Appleton, Wisconsin. This Long-term Contract opportunity is ideal for a detail-oriented individual who can confidently manage alert triage, lead incident investigations, and proactively search for emerging threats across the environment. The role requires a hands-on contributor who can help contain risks, drive remediation efforts, and enhance day-to-day cyber defense activities in a growing team setting. Responsibilities: • Lead security investigations from initial detection through analysis, containment, and resolution of potential threats. • Review and prioritize security alerts, assess their impact, and determine the appropriate response actions. • Perform proactive threat hunting to identify suspicious behavior, hidden risks, and indicators of compromise across systems and networks. • Execute remediation and containment steps to reduce exposure and restore secure operations following security events. • Support daily cybersecurity operations by monitoring the environment and responding to incidents in a timely manner. • Manage and optimize firewall technologies, including Check Point and Cisco ASA, to maintain strong network protection. • Maintain accurate security configurations and contribute to configuration management practices that support compliance and operational stability.
2026-11-02T00:00:00Z

Cyber Security Engineer

Saddle Brook, NJ
onsite
Temporary to Hire
80 - 80 USD / Hourly
We are looking for a Cyber Security Engineer to strengthen and modernize secure infrastructure across enterprise and industrial environments within chemicals manufacturing operations. This contract position with a path to a permanent role is based in New Jersey, and will focus on shaping resilient architecture for both IT and OT systems while ensuring strong alignment with cybersecurity and compliance expectations. The ideal candidate brings deep experience designing secure, scalable platforms and can partner effectively with technical and business teams to support safe, reliable operations. Responsibilities:• Create and evolve future-state architecture for infrastructure spanning networks, servers, virtualization platforms, cloud services, identity systems, and related core technologies.• Develop secure and dependable solutions for corporate and plant environments that balance performance, uptime, and operational safety needs.• Establish technical standards, reusable design patterns, and reference architectures to guide consistent implementation across IT and OT domains.• Work closely with enterprise architects, application teams, operations technology teams, and cybersecurity partners to align infrastructure decisions across the organization.• Design and strengthen infrastructure that supports industrial control environments, including plant networks, programmable control systems, and connected operational technologies.• Integrate security-first principles into infrastructure planning by defining controls for segmentation, access management, monitoring, logging, vulnerability reduction, and incident readiness.• Contribute to risk reviews, security assessments, and audit activities by identifying architectural gaps and recommending practical remediation strategies.• Maintain clear technical diagrams, architecture records, and supporting documentation while advising stakeholders during project reviews and technology evaluations.• Guide and mentor infrastructure engineers, promote knowledge sharing, and assess emerging technologies that can improve resilience, protection, and cost efficiency. 02710-0013476066
2026-10-22T00:00:00Z

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