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109 results for Qa Automation Engineer in Usa

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 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. 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. Responsibilities:• Create and launch AI and machine learning solutions that support product functionality, workflow automation, and data-driven decision-making across the platform.• Build end-to-end ML workflows that cover data preparation, feature development, model training, validation, deployment, and ongoing performance oversight.• Collaborate with product managers, software engineers, and data professionals to identify high-impact use cases for intelligent automation and advanced analytics.• Develop generative AI applications such as content summarization, recommendation engines, classification tools, and agent-based experiences while balancing response speed, quality, and operating cost.• Connect trained models to cloud-based production environments through APIs, service-oriented components, and containerized deployment patterns.• Assess external AI platforms, libraries, and vendor solutions to determine their value for product enhancement and engineering productivity.• Apply responsible AI practices by supporting model stability, bias awareness, data privacy, and security expectations throughout the development lifecycle.• Maintain clear technical documentation, structured experiment records, and repeatable development processes that support transparency and collaboration.• Track emerging trends in machine learning, large language models, and SaaS engineering to recommend improvements to tools, architecture, and delivery methods.
2026-06-10T00:00:00Z

Artificial Intelligence (AI) Engineer

Saint Paul, MN
remote
Temporary to Hire
66.5 - 77 USD / Hourly
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. Responsibilities:• Design and develop AI-powered systems that incorporate generative AI, intelligent automation, and agent-based architectures.• Build automation ecosystems using advanced machine learning models, large language models, and modern automation platforms.• Research and integrate emerging AI technologies, including orchestration frameworks, autonomous agents, and AI security measures.• Establish reusable patterns, APIs, and standards to enable scalable AI integrations across the enterprise.• Oversee projects from initial experimentation to production deployment, ensuring they meet performance, reliability, and business impact goals.• Collaborate with business and technology teams to align AI and automation solutions with organizational priorities.• Implement robust governance, security, and ethical AI principles in all solutions to ensure compliance and responsible use.• Provide expert guidance and mentorship on AI tools, optimization strategies, and automation best practices to team members.• Conduct reviews of AI and automation implementations to ensure long-term sustainability and operational effectiveness.• Stay updated on the latest AI trends and methodologies, sharing insights to inspire innovation across the organization.
2026-06-12T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
180000 - 210000 USD / Yearly
We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance. Responsibilities: • Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use. • Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management. • Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog. • Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows. • Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content. • Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents. • Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations. • Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications. • Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs. • Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.
2026-06-11T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-06-11T00:00:00Z

Email Automation Specialist

Atlanta, GA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a highly skilled Email Automation Specialist for a 3–6 month contract with a dynamic client based in Atlanta. This role is built for a marketing operations professional who excels at building, deploying, and optimizing sophisticated lifecycle campaigns and automated workflows. You will take ownership of the technical execution of marketing campaigns, ensuring precise audience targeting and flawless delivery.The ideal candidate must be local to the Atlanta area and comfortable working onsite three days a week, collaborating directly with cross-functional teams.
2026-06-11T00:00:00Z

AV Systems Design Engineer

Norcross, GA
onsite
Temporary to Hire
45.6 - 52.8 USD / Hourly
We are looking for an AV Systems Design Engineer to join a team in Georgia on a contract-to-permanent basis. This position is ideal for someone who can lead the full development of audiovisual solutions, from early design planning and technical documentation through final system testing and handoff. The role combines engineering precision, client-focused solution design, and hands-on validation to ensure each deployment meets performance and quality expectations. Responsibilities: • Create complete audiovisual system designs, including equipment selection, scope definition, labor estimates, and pricing support. • Develop clear 2D technical drawings and maintain accurate system documentation for installation and delivery teams. • Guide projects through the full engineering lifecycle, from concept development and design refinement to final commissioning. • Configure, test, and verify AV systems before turnover to confirm functionality, reliability, and readiness for use. • Work with established AV technology platforms such as Q-SYS, Biamp, Crestron, and Extron to support integrated solution design. • Partner with internal teams and stakeholders to align technical design decisions with project goals, timelines, and operational needs. • Identify design issues early, troubleshoot system performance concerns, and recommend practical technical improvements. • Support quoting and bill-of-material creation to ensure proposed solutions are accurate, scalable, and commercially aligned.
2026-05-26T00:00:00Z

AI DevOps Engineer

Bell Gardens, CA
onsite
Permanent / Full Time
160000 - 185000 USD / Yearly
Job TitleAI DevOps Engineer Company OverviewA well-established and growing organization in the consumer products and retail space, based in Los Angeles, CA, is leveraging advanced technologies to modernize operations and drive innovation. The company is committed to integrating AI-driven solutions to improve scalability, efficiency, and decision-making across the business. With a collaborative and forward-thinking culture, they prioritize continuous improvement and technology-driven growth. Role SummaryThe AI DevOps Engineer will play a critical role in designing, deploying, and scaling AI-driven systems in a production environment. Based in Los Angeles, CA, this position focuses on building robust CI/CD pipelines, enabling reliable AI operations, and ensuring secure, scalable infrastructure. This role partners closely with both technical and business stakeholders to operationalize AI solutions and drive enterprise-wide adoption. Key Responsibilities<ul><li>Design and implement CI/CD pipelines for AI applications and services</li><li>Build and manage scalable AI deployment frameworks and infrastructure</li><li>Establish best practices for AI operations, including monitoring, reliability, and cost optimization</li><li>Automate infrastructure provisioning and configuration using modern DevOps tools</li><li>Develop observability solutions to ensure high system performance and uptime</li><li>Implement secure deployment practices and maintain strong access controls</li><li>Operationalize AI platforms and integrate them into business workflows</li><li>Collaborate with cross-functional teams to identify opportunities for AI-driven scaling</li><li>Educate internal stakeholders on AI capabilities, tools, and operational best practices</li><li>Contribute to long-term infrastructure and AI platform strategy</li></ul>Compensation & Benefits<ul><li>$160,000 - $185,000 with discretionary bonus</li><li>Annual bonus eligibility</li><li>Comprehensive health benefits including medical, dental, and vision coverage</li><li>Additional perks and employee-focused programs</li></ul>Additional Details<ul><li>Hybrid work model (onsite four days per week, remote flexibility one day per week)</li><li>High-impact role with visibility across technical and business teams</li><li>Opportunity to help build and scale AI operations within a growing organization</li></ul>
2026-06-03T00:00:00Z

Full Stack AI Engineer

Dublin, OH
onsite
Temporary / Contract
75 - 80 USD / Hourly
We are looking for a Full Stack AI Engineer for a long-term consultant position. This role is responsible for designing, building, and delivering end-to-end intelligent applications and agentic AI systems that enable automation, decision-making, and enhanced user experiences across our client's enterprise landscape. This role combines full-stack software engineering with applied AI to develop systems that can reason, plan, and execute tasks autonomously. The engineer partners with product, architecture, and business teams to translate complex requirements into scalable, production-ready solutions that integrate seamlessly with enterprise platforms, data, and processes. The position emphasizes hands-on development, system integration, and continuous delivery of business value, ensuring AI-enabled capabilities are reliable, secure, and aligned with enterprise standards while advancing innovation and operational efficiency.
2026-05-27T00:00:00Z

Application Security Engineer

Reading, PA
remote
Permanent / Full Time
117200 - 146600 USD / Yearly
We are looking for an Application Security Engineer to strengthen secure software delivery and partner closely with engineering teams in Reading, Pennsylvania. This role focuses on embedding security throughout the software lifecycle, from architecture and development through deployment and ongoing operations. The ideal candidate brings deep application security expertise, a collaborative mindset, and the ability to translate security requirements into practical engineering guidance. Responsibilities: • Partner with software engineering and cybersecurity teams to build security into application design, coding practices, release processes, and production support. • Perform in-depth security evaluations through code analysis, threat modeling, penetration testing, and vulnerability assessments to uncover and prioritize risk. • Establish and uphold secure development standards, reusable patterns, and technical guidance that improve consistency across teams. • Administer and enhance security controls within CI/CD workflows, including code scanning, infrastructure-as-code checks, and container security tooling. • Contribute to architecture assessments for cloud-based systems, microservices, and containerized applications to ensure resilient and secure designs. • Evaluate application risks and support formal security reviews to guide mitigation planning and informed technical decisions. • Verify that application security activities align with applicable compliance obligations and recognized industry frameworks. • Create and deliver training sessions that help developers strengthen secure coding habits and increase security awareness. • Track emerging attack techniques and threat intelligence, then apply those insights to improve preventive and detective controls. • Support the monitoring, investigation, and remediation of application security issues, while coordinating effectively with external vendors and consultants as needed.
2026-06-04T00:00:00Z

ADMS Technology Engineer

South Plainfield, NJ
onsite
Temporary / Contract
63.01 - 63.01 USD / Hourly
We are looking for an experienced ADMS Technology Engineer to support the design, development, implementation, and ongoing maintenance of Advanced Distribution Management Systems (ADMS) and related utility technologies. This role is responsible for working across the full software engineering lifecycle, including requirements analysis, system design, development, testing, deployment, and operational support.The engineer will collaborate with cross-functional teams including system operators, product managers, analysts, and technical teams to deliver reliable, scalable solutions that support grid operations and real-time utility environments. This role requires strong technical expertise, problem-solving ability, and experience working with complex system integrations. Key Responsibilities:· Analyze business and operational requirements and translate them into technical solutions, system configurations, and implementation plans.· Design, develop, test, and support software solutions, tools, and platforms across the full SDLC.· Troubleshoot system issues, perform root cause analysis, and implement corrective solutions.· Support deployments, upgrades, patches, and releases across development, test, and production environments.· Monitor system performance and ensure solutions meet reliability, operational, and service level requirements.· Work with system integrations including SCADA, GIS, OMS, DMS, ICCP, and enterprise data platforms.· Perform system configuration, log analysis, and troubleshooting across software, hardware, and network environments.· Maintain and patch Windows and Linux servers; support virtualized environments (VMware).· Develop documentation including technical procedures, configurations, and troubleshooting guides.· Create operational and analytical reports (e.g., Power BI dashboards) to support business decisions.
2026-05-26T00:00:00Z

Azure Cloud Platform Engineering Manager

Bayport, MN
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an accomplished Azure Cloud Platform Engineering Manager to guide the vision, delivery, and day-to-day operation of a modern cloud environment. This position leads platform engineering and DevSecOps efforts that enable enterprise applications to run securely, reliably, and efficiently. The role combines people leadership, technical direction, and cross-functional partnership to strengthen cloud capabilities while supporting business priorities. Responsibilities: • Direct and develop a team of cloud engineers, platform specialists, and DevSecOps professionals, creating a high-performing environment focused on accountability and growth. • Shape the cloud platform roadmap and align architecture decisions with organizational goals, application needs, and long-term technology plans. • Lead the advancement of Azure-based infrastructure services, ensuring solutions are resilient, secure, scalable, and operationally effective. • Establish and strengthen platform engineering practices through automation, reusable deployment patterns, Infrastructure as Code, and standardized CI/CD workflows. • Oversee DevOps toolsets such as Azure DevOps and GitHub Actions to improve delivery consistency, deployment speed, and governance. • Drive operational excellence by improving monitoring, incident response, change control, observability, and overall service reliability. • Manage cloud spending through forecasting, subscription oversight, and FinOps-oriented optimization initiatives that balance cost, performance, and resource usage. • Partner with product teams, security leaders, application owners, and other IT stakeholders to translate business needs into practical platform capabilities. • Evaluate external providers and technology partners, maintaining effective vendor relationships and supporting sound platform investment decisions.
2026-06-09T00:00:00Z

AI Network Engineer

Houston, TX
onsite
Temporary / Contract
60 - 70 USD / Hourly
Overview: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. Key Responsibilities:<ul><li>Design, implement, and support high-performance networks for AI/ML workloads, including GPU clusters and distributed training environments</li><li>Deploy and optimize NVIDIA-based infrastructure (DGX systems, HGX platforms, or GPU clusters)</li><li>Configure and manage high-speed networking technologies such as InfiniBand, RoCE, and 100/200/400Gb Ethernet</li><li>Optimize network performance for east-west traffic, low latency, and large data throughput required for AI model training</li><li>Integrate NVIDIA software stack (CUDA, NCCL, GPU Cloud, AI Enterprise) with networking and compute environments</li><li>Troubleshoot performance bottlenecks across network, storage, and GPU interconnects</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>
2026-06-05T00:00:00Z

Azure Developer

Delray Beach, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Azure DeveloperWe are seeking a knowledgeable Azure Developer to build cloud-native applications and services using Microsoft Azure technologies. This role is ideal for someone who enjoys designing scalable solutions, working with modern cloud tools, and collaborating closely with software and cloud engineering teams. The ideal candidate will have strong development skills, deep understanding of Azure services, and a passion for cloud innovation.Responsibilities<ul><li>Develop cloud-based applications using Azure Functions, App Services, Logic Apps, and related services</li><li>Build APIs, microservices, and serverless workloads using .NET, C#, or other Azure-supported languages</li><li>Implement Azure integrations using Service Bus, Event Hub, API Management, or Durable Functions</li><li>Create and optimize Azure DevOps pipelines for CI/CD automation</li><li>Develop Infrastructure-as-Code templates using ARM, Bicep, or Terraform</li><li>Collaborate with architects and DevOps teams to ensure scalable cloud designs</li><li>Troubleshoot application issues, performance bottlenecks, and integration problems</li><li>Monitor cloud workloads, logs, costs, and performance metrics</li><li>Maintain documentation for Azure solutions, APIs, and deployment procedures</li><li>Participate in code reviews, design sessions, and architectural discussions</li></ul>
2026-06-09T00:00:00Z

Oracle Technical Solutions Architect

Plano, TX
onsite
Permanent / Full Time
170000 - 200000 USD / Yearly
We are looking for an Oracle Technical Solutions Architect to lead the design and delivery of supply chain technology solutions in Plano, Texas. This role partners closely with planning and business stakeholders to translate operational needs into scalable Oracle-based architectures that improve supply, demand, and inventory decision-making. The ideal candidate brings deep technical knowledge of Oracle supply chain platforms, strong architectural judgment, and the ability to guide cross-functional teams toward practical, high-value outcomes. Responsibilities: • Direct technical solution design for supply chain planning initiatives, ensuring Oracle-based applications support business goals across demand, supply, procurement, and inventory functions. • Provide leadership to developers and consultants by setting architectural direction, reviewing solution quality, and promoting consistent delivery standards. • Collaborate with business partners and planning teams to gather requirements, evaluate process challenges, and define effective system solutions. • Create scalable and sustainable application designs that balance performance, maintainability, and long-term roadmap priorities. • Apply expertise across Oracle supply chain modules and related technologies to address operational issues with measurable business impact. • Work closely with analytics teams to strengthen data-driven planning capabilities and improve decision support across the organization. • Identify opportunities for system enhancements, process optimization, and cost-conscious improvements that increase overall supply chain efficiency. • Support integration design and technical execution involving APIs, middleware, reporting tools, and related enterprise platforms. • Mentor team members on architecture best practices, technical problem-solving, and solution development aligned with strategic objectives.
2026-05-28T00:00:00Z

AI/Data Governance Analyst

New York, NY
onsite
Temporary / Contract
80.75 - 93.5 USD / Hourly
We are looking for an experienced AI/Data Governance Analyst to support enterprise data strategy efforts in New York, New York. This Long-term Contract position will partner closely with leadership and cross-functional teams to strengthen data governance practices, improve data quality, and promote consistent standards across the organization. The ideal candidate brings a hands-on approach, strong communication skills, and a solid background working across multiple data domains in complex business environments. Responsibilities: • Partner with data strategy leadership to translate governance priorities into practical actions across business and technical teams. • Work directly with stakeholders throughout the enterprise to reinforce adherence to established data policies, standards, and controls. • Assess data quality issues, identify root causes, and help drive corrective actions that improve trust in key datasets. • Support the development, maintenance, and adoption of governance frameworks, business rules, and data management practices. • Collaborate with teams responsible for reporting, analytics, and operational systems to align data definitions and usage standards. • Use tools such as SQL, BusinessObjects, and Erwin to analyze data structures, validate information, and document governance-related findings. • Communicate recommendations, risks, and progress clearly through written materials and stakeholder discussions. • Contribute as a senior hands-on analyst who can guide day-to-day governance execution and help coordinate efforts across multiple data domains.
2026-06-17T00:00:00Z

Quality Assurance Analyst- Digital

Dallas, TX
onsite
Permanent / Full Time
90000 - 105000 USD / Yearly
We are looking for a detail-oriented Quality Assurance Analyst to help ensure the performance, usability, and reliability of digital products in Dallas, Texas. In this role, you will evaluate web-based applications, document issues clearly, and collaborate with technical teams to improve overall product quality. The position is well suited for someone who thrives in a fast-paced delivery environment and brings hands-on experience with testing processes across digital platforms. Responsibilities: • Execute manual and automated test activities for web applications and digital platforms to confirm features work as intended. • Create, maintain, and update test cases, test scenarios, and supporting documentation aligned with product requirements and release goals. • Detect, record, and track defects, then work closely with developers and stakeholders to support timely resolution. • Validate fixes and perform regression testing during recurring enhancement and release cycles. • Partner with Agile team members in planning, review, and testing discussions to promote quality throughout development. • Assess application behavior, functionality, and user experience to identify risks that may affect system stability or performance. • Use testing tools and support platforms, including Selenium and Zendesk, to manage test execution and issue reporting.
2026-05-30T00:00:00Z

Fullstack AI Engineer

Miami, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Fullstack AI Engineer to design, build, and deploy innovative AI-powered applications that solve complex business challenges. This role combines hands-on software engineering with client-facing consulting skills, making it ideal for someone who can move seamlessly from solution design to implementation and stakeholder engagement. The ideal candidate will have strong experience in fullstack development, AI application architecture, and large language model (LLM) solutions, along with the ability to translate business needs into scalable technical outcomes. Key Responsibilities<ul><li>Design, develop, and maintain fullstack AI applications using Python, SQL, and modern development frameworks</li><li>Build and optimize LLM-powered applications, including prompt workflows, agent orchestration, and production-ready AI features</li><li>Develop and enhance Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search</li><li>Integrate and orchestrate APIs across internal and third-party platforms</li><li>Deploy and manage applications in cloud environments such as AWS, Azure, or Google Cloud</li><li>Build, manage, and optimize containerized solutions using Docker and Kubernetes</li><li>Create and support data engineering workflows and ETL pipelines for AI and analytics applications</li><li>Implement Git-based development workflows and contribute to CI/CD pipelines for efficient software delivery</li><li>Partner with business stakeholders to gather requirements and define solution goals</li><li>Translate business problems into technical architecture and implementation plans</li><li>Lead or support client workshops, demos, and solution walkthroughs</li><li>Develop rapid prototypes and proof-of-concepts to validate ideas and accelerate delivery</li><li>Contribute to solution architecture and system design for scalable, secure, and high-performing AI applications</li></ul>
2026-06-17T00:00:00Z

Java Software Engineer

Holladay, UT
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
We are seeking a skilled Java Software Engineer to design, develop and maintain scalable, high-performance software solutions. This role will work closely with cross-functional teams to build enterprise-grade applications, improve development efficiency, and support modern software engineering practices. Experience using Claude Code or similar AI-assisted coding tools is highly valued to accelerate development, improve code quality, and streamline debugging and documentation.Key Responsibilities<ul><li>Design, develop, test and maintain Java-based applications and services</li><li>Write clean, efficient and well-documented code following best practices</li><li>Collaborate with product managers, architects and other engineers to deliver high-quality software solutions</li><li>Use Claude Code to assist with code generation, refactoring, debugging, technical documentation and development workflows</li><li>Participate in code reviews and contribute to continuous improvement of coding standards</li><li>Troubleshoot application issues and implement effective solutions</li><li>Build and maintain APIs, microservices and backend integrations</li><li>Contribute to system performance tuning, scalability improvements and application security</li><li>Support CI/CD pipelines, automated testing and release processes</li><li>Stay current on emerging technologies, including AI-assisted software development tools</li></ul>
2026-06-18T00:00:00Z

Sr. AWS AgentCore Platform Engineer

Dublin, OH
onsite
Temporary / Contract
100 - 110 USD / Hourly
We are looking for a Sr. AWS AgentCore Platform Engineer to help build and advance an enterprise-scale AI environment for our client, a leader in their industry. This Long-term Consulting position will focus on creating secure, scalable, and well-governed foundations for AI agents and generative AI applications so business teams can adopt solutions with confidence and speed. The role combines architecture, engineering, and operational delivery to move AI initiatives into reliable production use while aligning with broader technology, security, and data standards. This role is heavily preferred 4 days/week onsite, 1 day/week remote. Client located in Central Ohio. Responsibilities:Leads the end-to-end design, engineering, and operationalization of our client's enterprise AI platform, establishing scalable, secure, and governed capabilities for deploying AI agents and generative AI solutions, while enabling business units across AHM to rapidly adopt and operationalize AI in alignment with enterprise architecture, security, and data strategies.
2026-05-27T00:00:00Z

Hardware Engineer

Cambridge, MA
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Hardware Engineer to join our team in Boston, Massachusetts and support the design and deployment of machine vision hardware solutions for industrial applications. This role is ideal for someone with a mechanical engineering foundation who enjoys translating real-world operating conditions into practical camera, lighting, and system configurations. You will work closely with internal teams and customers to improve imaging performance, document deployment standards, and help validate reliable hardware setups for both pilot programs and production environments. Responsibilities:• Assess customer environments by reviewing operating conditions such as motion, available space, lighting variability, and mounting limitations to determine effective vision system setups.• Develop hardware recommendations that align with application needs, including cameras, lenses, illumination components, compute platforms, and network connectivity equipment.• Refine camera placement, lighting approach, and viewing angles to improve defect detection and overall imaging quality across different use cases.• Create clear technical documentation such as configuration records, wiring layouts, setup instructions, and deployment diagrams to support repeatable installations.• Support hands-on testing and qualification activities to confirm hardware performance, durability, and reliability before broader rollout.• Visit customer sites as needed to assist with installation planning, validate hardware selections, and troubleshoot field performance issues.• Define hardware use cases for industrial automation environments, including scenarios that may involve integration with programmable logic controllers.• Partner with cross-functional teams to identify vision-related issues, propose corrective hardware changes, and optimize system designs for production demands.
2026-06-03T00:00:00Z

M365 Engineer

Middleton, WI
remote
Temporary / Contract
50 - 72 USD / Hourly
We are seeking an experienced Microsoft 365 Engineer to support the administration, engineering, optimization, and ongoing improvement of a large-scale Microsoft 365 environment. This role will work within an enterprise technology team responsible for collaboration platforms, productivity solutions, governance, security, and operational excellence. The ideal candidate will have strong hands-on experience managing Microsoft 365 services in a complex environment and will play a key role in ensuring reliability, scalability, security, and adoption across the organization. Responsibilities * Design, configure, administer, and support Microsoft 365 services in an enterprise environment* Manage and optimize Microsoft 365 workloads including: * Microsoft Teams * SharePoint Online * Exchange Online * Microsoft Purview * Viva Suite * Power Platform* Develop and maintain governance, compliance, security, and lifecycle management strategies* Support enterprise collaboration solutions and improve user experience across Microsoft 365 platforms* Administer Teams policies, permissions, security settings, and collaboration controls* Manage SharePoint Online environments including sites, permissions, content management, and best practices* Support Exchange Online administration, configuration, and troubleshooting* Assist with Power Platform governance, environment management, and enterprise adoption* Create automation solutions using PowerShell and Microsoft Graph API* Partner with technical teams to troubleshoot issues, implement enhancements, and deliver solutions* Monitor platform health, identify opportunities for improvement, and contribute to technical roadmaps* Provide technical expertise for Microsoft 365-related initiatives and projects
2026-06-15T00:00:00Z

M365 Implementation Engineer

Seekonk, MA
remote
Permanent / Full Time
120000 - 140000 USD / Yearly
M365 Implementation Engineer Location: Remote Department: Professional Services Type: permanent About the Role We are seeking an experienced M365 Implementation Engineer to join our Professional Services team. This position combines hands-on engineering work with frequent client interaction. You will design, deploy, and optimize Microsoft 365 solutions while collaborating directly with customers through daily video calls, workshops, and project updates. This role is ideal for someone who enjoys both the technical side of M365 and the client-facing aspects of consulting. What You’ll Do Lead the deployment, configuration, and migration of Microsoft 365 services in client environments. Deliver solutions across collaboration, communication, and cloud productivity platforms within the M365 ecosystem. Meet with clients regularly through video calls to gather requirements, present progress, and provide technical guidance. Develop automated workflows, apps, and dashboards using the Power Platform to streamline business processes. Implement best practices around identity, governance, compliance, and security within the M365 tenant. Troubleshoot escalated issues and support clients throughout project delivery. Work closely with project managers and stakeholders to translate requirements into effective technical solutions.
2026-06-09T00:00:00Z

Senior Machine Learning Engineer

Boston, MA
remote
Permanent / Full Time
180000 - 200000 USD / Yearly
We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering. Responsibilities: • Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards. • Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving. • Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn. • Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools. • Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment. • Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems. • Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models. • Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor. • Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives. • Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
2026-06-09T00:00:00Z

Infrastructure DevOps Engineers

Memphis, TN
onsite
Temporary / Contract
55 - 65 USD / Hourly
Our client is looking for an experienced DevOps Engineer with a strong background in infrastructure engineering rather than application development. This role is responsible for maintaining, automating, and improving the organization’s core systems, networks, cloud environments, and deployment pipelines that support enterprise‑level financial operations. The ideal candidate has hands‑on experience with cloud platforms, infrastructure-as-code, system monitoring, security hardening, and supporting highly available environments. Responsibilities<ul><li>Manage and support core infrastructure services across on‑prem, cloud, and hybrid environments.</li><li>Build, automate, and maintain CI/CD and infrastructure pipelines (Terraform, Ansible, etc.).</li><li>Implement and manage monitoring, alerting, and logging solutions to improve observability.</li><li>Support configuration, provisioning, and lifecycle management of servers, networks, and storage.</li><li>Collaborate with security teams to enforce access controls, patching, compliance, and system hardening.</li><li>Maintain containerized infrastructure (Docker, Kubernetes) used for internal tooling and services.</li><li>Optimize system performance, capacity, reliability, and cost efficiency across all environments.</li><li>Assist with incident response, root cause analysis, and long‑term remediation strategies.</li><li>Document infrastructure standards, architecture diagrams, and operational procedures.</li><li>Partner with cross‑functional teams to support infrastructure upgrades, migrations, and modernization efforts.</li></ul>
2026-06-17T00:00:00Z

Software Dev Engineer IV

Dallas, TX
onsite
Temporary / Contract
79 - 84 USD / Hourly
Position OverviewWe are seeking a skilled Software Engineer to design, develop, and deploy scalable applications within a cloud-based environment. This role focuses on building robust backend systems while leveraging modern AWS services and infrastructure-as-code practices.The ideal candidate will bring strong experience in Python or Java development, along with hands-on exposure to AWS services and CloudFormation. This role is well-suited for engineers who thrive on solving complex problems, delivering results, and working across distributed systems. Key ResponsibilitiesApplication Development<ul><li>Design and develop scalable applications using Python or Java</li><li>Build high-quality, maintainable code following best practices</li><li>Participate in code reviews and continuous improvement efforts</li></ul>Cloud & Infrastructure<ul><li>Work extensively with AWS services to build cloud-native applications</li><li>Deploy and manage infrastructure using CloudFormation</li><li>Support application scalability, reliability, and performance</li></ul>Integration & Data Workflows<ul><li>Develop APIs and backend services to support application integration</li><li>Contribute to data workflows and pipeline development (as needed)</li><li>Support evolving cloud and application architectures</li></ul>Collaboration & Delivery<ul><li>Work with cross-functional teams to deliver technical solutions</li><li>Demonstrate a strong ability to deliver results and dive deep into technical problems</li><li>Contribute to Agile development and iterative delivery processes</li></ul>
2026-06-05T00:00:00Z

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