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101 results for Qa Automation Engineer in Usa
- Knoxville, TN
- remote
- Permanent / Full Time
- 0 - 0 USD / Yearly
- <p>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.</p><p><br></p><p>Responsibilities:</p><p>• Lead full lifecycle development of AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.</p><p>• Design and deliver agent-based AI solutions that support reasoning, multi-step execution, tool usage, memory handling, and workflow orchestration.</p><p>• 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.</p><p>• Create and support RESTful and GraphQL interfaces that connect web applications, internal platforms, databases, and external tools.</p><p>• Develop React-based user interfaces and ensure smooth interaction between front-end components and backend services.</p><p>• Architect microservices and distributed application patterns that improve scalability, resilience, and maintainability.</p><p>• Improve system efficiency by tuning application performance, refining database usage, and managing cloud resources effectively.</p><p>• Apply strong security practices across authentication, authorization, deployment, and production operations while supporting CI/CD pipelines and containerized environments.</p><p>• Establish monitoring, tracing, evaluation, and debugging practices for AI systems in production, and resolve issues across cloud-based environments.</p><p>• Partner with product, design, DevOps, data, and engineering teams while providing technical guidance on AI platform strategy and engineering standards.</p>
- 2026-10-30T00:00:00Z
- 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.<br><br>Responsibilities:<br>• Partner with business leaders to understand operational pain points and identify where AI can create measurable value.<br>• Translate business needs into solution concepts, technical approaches, and implementable AI initiatives.<br>• Design, develop, test, and deploy AI and machine learning applications that address real-world business problems.<br>• Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities.<br>• Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow.<br>• Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities.<br>• Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes.<br>• Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
- 2026-10-21T00:00:00Z
- 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.<br><br>Responsibilities:<br>• 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.<br>• Design, build, and support production-ready AI systems, while providing technical guidance and mentorship to other engineers contributing to delivery efforts.<br>• 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.<br>• 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.<br>• Apply responsible AI practices that support healthcare-oriented expectations around privacy, security, governance, and model oversight without slowing delivery unnecessarily.<br>• Assess third-party platforms, vendors, and integration approaches to identify scalable options and avoid tools that create fragmented or short-term solutions.<br>• Drive automation opportunities across content and compliance-related processes to create more efficient and differentiated delivery capabilities.<br>• Contribute technical expertise during client discussions, proposals, and new business efforts by clearly representing what can be built and delivered in real-world timelines.<br>• Engage confidently with client and internal stakeholders across IT, brand, medical, and agency functions, translating technical considerations into practical business decisions.<br>• 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
- 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.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making.<br>• Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions.<br>• Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost.<br>• Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way.<br>• Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability.<br>• Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns.<br>• Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation.<br>• Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions.<br>• 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
- Brookfield, WI
- onsite
- Permanent / Full Time
- 150000 - 175000 USD / Yearly
- We are looking for an experienced Artificial Intelligence (AI) Engineer to create practical, scalable AI solutions that help improve business performance and streamline operations in Brookfield, Wisconsin. In this role, you will partner with technical teams and business leaders to turn complex challenges into intelligent applications, machine learning systems, and generative AI capabilities. The ideal candidate brings a strong software engineering foundation along with hands-on experience delivering AI solutions in cloud environments.<br><br>Responsibilities:<br>• Build and implement AI, machine learning, and generative AI solutions that address business and operational needs.<br>• Develop intelligent applications such as virtual assistants, chatbot experiences, copilots, and automated workflows.<br>• Train, evaluate, and refine machine learning models to improve performance, reliability, and business impact.<br>• Create and support retrieval-augmented generation solutions and related applications for knowledge-driven use cases.<br>• Work closely with stakeholders to uncover opportunities where AI can enhance processes, decision-making, and user experiences.<br>• Connect AI capabilities with enterprise systems and cloud-based platforms to enable practical adoption at scale.<br>• Establish model deployment and support practices, including monitoring, governance, and lifecycle management.<br>• Apply security, compliance, and responsible AI standards throughout solution design, development, and release.<br>• Research new AI tools and technologies and recommend options that align with organizational goals.<br>• Produce clear technical documentation covering solution architecture, workflows, and implementation details.
- 2026-11-12T00:00:00Z
- 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.<br><br>Responsibilities:<br>• Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities.<br>• Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency.<br>• Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights.<br>• Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support.<br>• Automate recurring deliverables across finance, accounting, and operational reporting functions.<br>• Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments.<br>• Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes.<br>• Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation.<br>• 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
- Atlanta, GA
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- <p>We are looking for a highly skilled <strong>Email Automation Specialist</strong> 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.</p><p>The ideal candidate must be local to the Atlanta area and comfortable working onsite three days a week, collaborating directly with cross-functional teams.</p><p><br></p><p><strong> </strong></p><p><strong> </strong></p>
- 2026-10-28T00:00:00Z
- Atlanta, GA
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- <p>We are looking for a highly skilled <strong>Email Automation Specialist</strong> 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.</p><p>The ideal candidate must be local to the Atlanta area and comfortable working onsite three days a week, collaborating directly with cross-functional teams.</p>
- 2026-11-06T00:00:00Z
- Minneapolis, MN
- onsite
- Permanent / Full Time
- 175000 - 250000 USD / Yearly
- We are looking for a Staff Software Engineer, AI to help build the core platform that powers enterprise-grade intelligent agents in Minneapolis, Minnesota. In this role, you will tackle complex technical challenges across distributed systems, applied artificial intelligence, security, and platform engineering while creating reliable capabilities for demanding business use cases. You will work closely with product, engineering, machine learning, and security teams to guide architectural decisions and deliver scalable agent-driven solutions.<br><br>Responsibilities:<br>• Drive the technical direction of the agent platform, shaping how agents plan tasks, make decisions, manage execution flow, and produce structured outcomes in production environments.<br>• Develop multi-layered memory capabilities that support short-term context, historical interactions, knowledge retrieval, and persistent workflow state while enforcing retention and access policies.<br>• Build secure execution frameworks for agent operations using isolated containerized environments with strong controls for resources, network access, credentials, and tenant separation.<br>• Create dependable orchestration patterns that enable asynchronous processing, delegated work, checkpointing, restartability, retry logic, and recovery from operational failures.<br>• Implement extensible integrations with internal and external tools, ensuring strong authentication, authorization boundaries, and protections against unsafe or manipulated actions.<br>• Establish evaluation frameworks and observability practices to assess quality, reliability, latency, correctness, and cost, then use findings to improve agent performance over time.<br>• Partner with cross-functional stakeholders to translate high-impact business workflows into scalable AI agent capabilities that support complex enterprise needs.
- 2026-11-02T00:00:00Z
- Lockport, NY
- onsite
- Permanent / Full Time
- 60000 - 80000 USD / Yearly
- <p><strong>Robert Half Permanent Placement</strong> is excited to partner with an innovative manufacturer in <strong>Lockport, NY</strong> on their search for a <strong>Quality Engineer. </strong>This exciting role has a starting salary of <strong>$60,000 - $80,000 depending on experience</strong> and a comprehensive benefits package. Our great client has newly created this position that comes with excellent career growth opportunity for someone with a quality and safety mindset.</p><p><br></p><p><strong>Responsibilities include but not limited to:</strong></p><p><strong> </strong></p><ul><li>Develop, implement, and maintain quality procedures, work instructions, inspection methods, and testing protocols to ensure compliance with customer, regulatory, and internal quality standards</li><li>Evaluate manufacturing processes, analyze quality data and trends, and lead continuous improvement initiatives that enhance product quality, reduce waste, and improve operational efficiency</li><li>Conduct product, material, equipment, and process validation activities, including testing, calibration management, statistical analysis, and documentation of results </li><li>Lead investigations involving nonconforming materials, customer complaints, and corrective and preventive actions, performing root cause analysis and implementing effective corrective actions</li><li>Support and maintain the Quality Management System including safety and quality certifications, customer specifications, raw material specifications, and finished product requirements</li><li>Train production and quality personnel on quality systems, inspection methods, new equipment, and standard operating procedures to ensure consistent execution across the organization</li><li>Support customer and certification audits, respond to customer quality inquiries, maintain inspection and calibration records, and serve as backup to the Director of Quality as needed</li></ul><p><br></p>
- 2026-10-16T00:00:00Z
- Atlanta, GA
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- <p>Agentic Automation Specialist</p><p><strong>Engagement:</strong> 6-Month Contract</p><p><strong>Work Arrangement:</strong> Hybrid | Atlanta, GA</p><p>Position Overview</p><p>We are seeking an Agentic Automation Specialist to help streamline business and marketing workflows through AI-powered automation. This individual will identify opportunities to automate repetitive processes, build AI-enabled workflows, and integrate tools that improve operational efficiency across marketing and business teams.</p><p>Responsibilities</p><ul><li>Design, build, test, and optimize AI-powered workflows and agentic automation solutions.</li><li>Identify manual processes that can be streamlined through automation.</li><li>Configure AI agents, workflow orchestration, APIs, and third-party integrations.</li><li>Partner with marketing, operations, and technology teams to understand business requirements.</li><li>Establish testing, human review, escalation, and quality control processes.</li><li>Monitor workflow performance, reliability, and efficiency gains.</li><li>Document solutions, workflows, and implementation procedures.</li></ul><p><br></p>
- 2026-10-23T00:00:00Z
- Jacksonville, FL
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- We are looking for an AI DevOps Engineer to help build and scale secure, production-ready AI platform capabilities in Jacksonville, Florida. This Long-term Contract position focuses on enabling application teams with reliable Azure-based infrastructure, automation, and deployment practices for AI services and related workloads. The role will work across platform engineering, security, and development teams to create governed, observable, and maintainable solutions that support enterprise adoption of modern AI technologies.<br><br>Responsibilities:<br>• Create, deploy, and support Azure-based AI platform services, including search, model access, and related cloud resources, while enabling teams to run workloads within their own subscriptions and resource groups.<br>• Establish and manage Azure API Management as the controlled entry point for AI endpoints, applying standards for access control, rate limiting, logging, and consumption visibility.<br>• Develop hosting approaches for AI-powered applications and agent services using Azure Container Apps, Azure Functions, and other cloud-native Azure services.<br>• Build and maintain reusable Terraform modules to standardize infrastructure provisioning and improve consistency across environments.<br>• Streamline operational tasks through automation for activities such as environment onboarding, access setup, service configuration, and deployment workflows.<br>• Design, implement, and support CI/CD pipelines in GitHub Actions and Azure DevOps for infrastructure delivery, platform updates, and AI application releases.<br>• Write and maintain automation and integration code in C# or Python, along with scripting in PowerShell or Bash, to support platform tooling and service operations.<br>• Apply Azure security and governance controls, including identity integration, role-based access, secrets management, network restrictions, and approved model guardrails.<br>• Implement monitoring and telemetry using Azure Monitor, Application Insights, Log Analytics, and OpenTelemetry to improve reliability, troubleshooting, and cost transparency for AI workloads.<br>• Investigate and resolve infrastructure, deployment, and runtime issues while producing documentation, reference architectures, and runbooks that help other teams adopt the platform effectively.
- 2026-11-12T00:00:00Z
- Los Angeles, CA
- onsite
- Permanent / Full Time
- 200000 - 300000 USD / Yearly
- <p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading organization is seeking a Software Engineer to help develop next-generation AI platforms. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>
- 2026-11-04T00:00:00Z
- Minneapolis, MN
- onsite
- Permanent / Full Time
- 180000 - 250000 USD / Yearly
- <p>We’re hiring a hands-on Staff Software Engineer to lead development in a critical area of AI-enabled product infrastructure. In this role, you will build and evolve the systems that determine what AI-powered experiences can access, use, and reference in real time. This work is central to ensuring outputs are accurate, timely, secure, and grounded in the right information.</p><p><br></p><p>You will focus on designing and improving retrieval and context systems that support intelligent applications operating in complex, high-trust environments. That includes helping systems identify the right content, manage changing information, and enforce strict access boundaries. You’ll work primarily in Python and collaborate closely with cross-functional partners in product, data, and engineering.</p><p>This is a highly hands-on role for someone who wants to directly influence the architecture, quality, and safety of AI-driven capabilities.</p><p><br></p><p>What You’ll Do</p><ul><li>Lead the design and improvement of retrieval systems that support AI-powered workflows in production environments</li><li>Ensure application outputs are grounded in the right source material, with the appropriate balance of quality, performance, and cost</li><li>Build systems that can process and reason over large volumes of unstructured and structured content</li><li>Develop search and context tools that surface trustworthy source excerpts, references, and relevant content locations</li><li>Maintain alignment between what AI systems can access and what end users are authorized to view</li><li>Help define when AI-generated outputs can be delivered directly and when additional validation or product controls are required</li><li>Influence technical direction across teams and mentor engineers working in adjacent problem spaces</li></ul><p><br></p>
- 2026-11-03T00:00:00Z
- Irvine, CA
- remote
- Permanent / Full Time
- 20000 - 300000 USD / Yearly
- We are looking for an experienced infrastructure architect to lead the design of large-scale environments that support AI model training, inference, and high-performance computing in Irvine, California. This role blends deep technical expertise with practical decision-making across compute, networking, storage, and data center infrastructure, ensuring solutions are scalable, resilient, and ready for production. The position works closely with engineering, operations, vendors, and facilities teams to turn workload demands and site constraints into well-defined, deployable architectures.<br><br>Responsibilities:<br>• Architect end-to-end data center solutions for AI and HPC environments, aligning compute, interconnect, storage, and management systems into a cohesive platform.<br>• Convert workload profiles, growth forecasts, and site limitations into detailed infrastructure designs that support performance, reliability, and future expansion.<br>• Assess rack-scale platforms and hardware configurations to determine the best fit for resiliency, operational efficiency, and long-term scalability.<br>• Design network frameworks for compute, storage, user, and administrative traffic with careful attention to bandwidth, failover, and overall fabric performance.<br>• Define storage strategies based on throughput, latency, capacity, and application behavior to meet demanding AI and HPC requirements.<br>• Produce detailed equipment specifications and bills of materials covering hardware components, connectivity, software, support agreements, and spare inventory.<br>• Review vendor and integrator proposals to confirm technical completeness, pricing accuracy, and alignment with architectural requirements.<br>• Partner with manufacturers, OEMs, and integration providers during technical assessments and contribute expertise during commercial discussions.<br>• Establish rack layouts, cabling plans, service access considerations, and facility requirements including power, cooling, weight, and floor space.<br>• Create validation standards for benchmarking, reliability testing, and operational acceptance before systems are released into production.
- 2026-10-18T00:00:00Z
- Raleigh, NC
- onsite
- Temporary / Contract
- 45 - 55 USD / Hourly
- We are looking for a Systems Engineer III to support product issue management and backlog coordination for related product lines in Raleigh, North Carolina. This long-term position focuses on driving investigations, aligning cross-functional stakeholders, and helping teams meet program objectives for both existing products and new development efforts. The role works closely with partners across engineering, quality, regulatory, operations, medical affairs, sales, service, and marketing to clarify requirements, resolve product concerns, and maintain strong documentation practices.<br><br>Responsibilities:<br>• Lead structured reviews of reported product problems by partnering with technical experts to identify root cause and next steps.<br>• Evaluate each issue for business and product impact, including severity, affected users, connected systems, occurrence patterns, and impacted versions.<br>• Establish reliable reproduction methods for reported anomalies and capture any interim controls or workarounds already in use.<br>• Record the potential risk of unresolved issues and ensure gaps in risk documentation are directed to the appropriate owner for action.<br>• Oversee intake and triage of newly submitted issue records, closing duplicate entries with clear justification and advancing unique findings for deeper analysis.<br>• Produce accurate, audit-ready records that summarize investigation results, supporting evidence, decisions, and final disposition.<br>• Maintain complete and factual quality documentation in the designated tracking system, ensuring all required fields are addressed appropriately.<br>• Coordinate cross-functional timelines, follow up on commitments, and escalate concerns when delivery targets or budget expectations are at risk.<br>• Raise urgent product concerns for formal review when they affect safety-related requirements, risk controls, or approved label claims.
- 2026-11-09T00:00:00Z
- Miami, FL
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- <p><strong>Azure Developer</strong></p><p>We are seeking a knowledgeable <strong>Azure Developer</strong> 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.</p><p><strong>Responsibilities</strong></p><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><p><br></p>
- 2026-11-04T00:00:00Z
- Cranberry, PA
- onsite
- Permanent / Full Time
- 0 - 0 USD / Yearly
- <p>We are looking for an Analytics Engineer to join a growing team in The Pittsburgh Metro Area</p><p>Responsibilities:</p><p>• Build and support robust data pipelines and transformation workflows in a cloud-based ecosystem to prepare information for analytics and reporting.</p><p>• Combine data from internal platforms, external applications, and operational systems into unified datasets that enable consistent business insights.</p><p>• Create and maintain dimensional structures, including fact and dimension tables, to strengthen enterprise reporting and analytical performance.</p><p>• Write, refine, and troubleshoot advanced queries to improve data quality, processing efficiency, and overall reliability.</p><p>• Develop and enhance dashboards, reports, and other business intelligence tools used for operational, financial, sales, and leadership decision-making.</p><p>• Establish semantic models, standardized metrics, and reusable reporting components that promote consistency across analytics deliverables.</p><p>• Configure KPI logic, trend reporting, forecasting measures, and other advanced calculations within reporting platforms.</p><p>• Apply data access rules and role-based permissions to protect sensitive information across analytics and reporting environments.</p><p>• Work closely with business partners to define reporting needs, translate requirements into technical solutions, and communicate findings clearly to varied audiences.</p><p>• Implement automated validation checks, investigate reporting issues, and document data rules, models, and technical processes for long-term maintainability.</p>
- 2026-11-09T00:00:00Z
- Grand Rapids, MI
- remote
- Permanent / Full Time
- 180000 - 240000 USD / Yearly
- <p>We are looking for a Data & AI Architect to lead the design of modern data platforms and intelligent systems.. This is a fully remote opportunity that blends enterprise data architecture with applied AI, focusing on scalable platforms, retrieval-driven solutions, and production-grade agentic workflows. The ideal candidate will shape technical standards, guide platform decisions, and contribute hands-on expertise to build secure, high-performing solutions that support advanced analytics and AI adoption.</p><p><br></p><p>Responsibilities:</p><p>• Establish enterprise data models, shared business semantics, and data interface standards that support secure, tenant-aware access across relational, document, key-value, object, graph, vector, and analytical data platforms.</p><p>• Design cloud-based data ecosystems, including warehouses and lakehouses, and select the right technologies based on throughput, latency, scale, and cost requirements.</p><p>• Create architecture for batch and streaming pipelines, transformation layers, and data-serving systems with strong attention to lineage, recoverability, freshness, data quality, and operational accountability.</p><p>• Lead the design of embedding pipelines, vector lifecycle management, semantic retrieval, hybrid search, reranking strategies, and evaluation methods for high-quality search experiences.</p><p>• Architect knowledge-driven and graph-aware solutions that improve entity resolution, recommendation quality, matching accuracy, and personalization outcomes.</p><p>• Define production-ready approaches for retrieval-augmented AI and single- or multi-agent systems, including context design, citation grounding, orchestration patterns, state handling, approval workflows, and resilient failure recovery.</p><p>• Establish measurement and observability practices for AI systems by tracking quality, safety, reliability, cost, latency, and task performance through traceable debugging and regression testing.</p><p>• Build, review, and optimize critical data pipelines, AI prototypes, retrieval services, and evaluation frameworks to support real-world production use cases.</p><p>• Implement repeatable engineering practices such as automated testing, CI/CD, documentation, monitoring, and recovery procedures that enable reliable long-term operation.</p><p>• Set architectural direction for governance, privacy, authorization, retention, auditability, and AI safety controls while advising on platform strategy, vendor evaluation, and technical decision-making.</p>
- 2026-10-29T00:00:00Z
- Los Angeles, CA
- onsite
- Permanent / Full Time
- 200000 - 300000 USD / Yearly
- <p><strong>Python Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based 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.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Python 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.</p><p><br></p><p><strong>Key Responsibilities</strong></p><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>
- 2026-11-09T00:00:00Z
- Corte Madera, CA
- onsite
- Temporary / Contract
- 85 - 95 USD / Hourly
- <p>We are looking for an Agentic AI Orchestration Architect to join a Contract engagement supporting a retail visual production team in Corte Madera, California. In this role, you will assess how work moves across creative operations, connect existing AI-driven tools into a cohesive orchestration framework, and deliver practical improvements that can be adopted quickly. This position is ideal for a consultant who can combine technical architecture, workflow design, and stakeholder collaboration to build a scalable foundation for agentic AI in production environments.</p><p><br></p><p>Responsibilities:</p><p>• Lead onsite discovery sessions with a visual production team to analyze current processes, decision points, dependencies, and operational slowdowns.</p><p>• Design an orchestration approach that connects existing AI agents, automations, and platform-specific workflows into a unified operating model without replacing effective solutions unnecessarily.</p><p>• Deliver early-stage process enhancements that improve day-to-day production efficiency while defining a broader roadmap for long-term agentic AI adoption.</p><p>• Create a standardized work-order and state-management framework that tracks identifiers, assets, revisions, routing logic, ownership, approvals, and auditability across the workflow.</p><p>• Build rules-based routing and human review checkpoints, including support for manual status updates tied to production milestones such as studio shoots and print approvals.</p><p>• Develop notification and monitoring mechanisms that provide clear visibility into task readiness, delays, exceptions, and blocked work across the end-to-end process.</p><p>• Integrate tools such as Figma, Google Workspace, Box, and shared file environments using APIs, webhooks, and related connectivity patterns.</p><p>• Implement safeguards that carry upstream changes through dependent downstream activities in a controlled and reliable manner.</p><p>• Produce system documentation, train users on the operating model, and hand over a practical runbook with a prioritized backlog for future enhancements.</p>
- 2026-11-11T00:00:00Z
- San Diego, CA
- remote
- Permanent / Full Time
- 130000 - 150000 USD / Yearly
- <p>We are looking for an experienced AI/Data Governance Program Lead to help strengthen responsible AI practices within a financial services environment in San Diego, California. This position works closely with technology, security, legal, and risk stakeholders to create practical governance for AI platforms, large language models, and automated decision-support tools. The role is ideal for someone who can translate evolving regulatory expectations into clear controls that support innovation while protecting the business.</p><p><br></p><p>Responsibilities:</p><p>• Design and refine governance frameworks, policy standards, and review processes that guide the responsible use of AI across the organization.</p><p>• Assess internally developed and externally sourced AI solutions to identify concerns related to security, privacy, compliance, and operational risk.</p><p>• Oversee a centralized record of AI tools and use cases, ensuring approved implementations remain visible, current, and properly governed.</p><p>• Define control measures for employee-created AI solutions, including expectations for data access, retention, and acceptable content handling.</p><p>• Partner with audit, risk, and control teams to address identified weaknesses, strengthen oversight, and communicate program status to leadership.</p><p>• Provide practical guidance to business teams on responsible AI adoption and adjust governance approaches as technologies and regulations continue to change.</p><p>• Contribute to risk assessments involving model governance, data governance, and architecture governance for AI-enabled initiatives.</p>
- 2026-11-05T00:00:00Z
- St. Petersburg, FL
- onsite
- Permanent / Full Time
- 0 - 0 USD / Yearly
- We are looking for a Software QA Analyst to join an Agile team in Florida, where quality is treated as a shared responsibility throughout the development lifecycle. This role is ideal for a testing specialist who can independently plan and execute validation activities, investigate issues thoroughly, and work closely with business analysts, developers, and client stakeholders. The position focuses on both manual and automated testing while helping ensure requirements are testable, releases are stable, and defect resolution stays on track.<br><br>Responsibilities:<br>• Develop and manage detailed test scenarios and test cases based on business needs, user stories, and acceptance criteria.<br>• Perform manual testing across multiple sprint deliverables while maintaining clear visibility into progress, risks, and priorities.<br>• Run and support automated test coverage using Selenium and related QA tools to improve consistency and efficiency.<br>• Document defects with precise reproduction steps, supporting evidence, impact details, and environment information so issues can be resolved quickly.<br>• Re-test resolved issues and complete regression validation to confirm changes do not negatively affect existing functionality.<br>• Take an active role in Agile ceremonies by contributing testing insight during daily stand-ups, refinement sessions, planning meetings, and retrospectives.<br>• Partner with business analysts and developers to review requirements early, identify gaps in testability, and reduce downstream rework.<br>• Assist with release readiness activities, including pre-deployment coordination and post-release smoke testing.<br>• Support client-facing testing efforts by guiding users through validation activities, helping triage reported issues, and coordinating next steps for resolution.<br>• Contribute ideas that strengthen QA practices, improve team standards, and enhance overall product quality.
- 2026-10-21T00:00:00Z
- Torrance, CA
- onsite
- Temporary / Contract
- 70 - 76 USD / Hourly
- <p>We are looking for an AWS Senior Data Engineer to join a long-term contract opportunity in Southern California. This onsite role requires a highly experienced data engineering specialist who can build resilient, scalable data platforms and support enterprise analytics through well-architected cloud solutions. The ideal candidate will bring deep expertise in AWS-based data ecosystems, modern ETL development, and data warehousing, while maintaining a strong focus on quality, security, and performance.</p><p><br></p><p>Responsibilities:</p><p>• Build and support cloud-based data pipelines that move and transform large volumes of data using AWS services such as S3, Glue, Athena, Redshift, Spectrum, Lambda, and MWAA/Airflow.</p><p>• Create scalable ETL and ELT workflows with Python, PySpark, Apache Spark, or Scala to deliver reliable datasets for reporting, analytics, and operational use.</p><p>• Strengthen data quality by implementing validation rules, exception handling, monitoring, and cleansing processes across integration pipelines.</p><p>• Improve platform efficiency by tuning queries, refining workflow design, and addressing processing bottlenecks to meet performance targets and cost expectations.</p><p>• Partner with analysts, technical teams, and business stakeholders to convert data needs into technical designs and production-ready engineering solutions.</p><p>• Maintain dependable data availability for business intelligence initiatives by ensuring pipelines are stable, timely, and aligned with service-level requirements.</p><p>• Produce and update technical documentation while supporting adherence to data governance, security controls, and regulatory expectations.</p><p>• Contribute to secure data lake operations through access management, policy enforcement, and governance practices within AWS Lake Formation and related cloud services.</p>
- 2026-11-10T00:00:00Z
- Cambridge, MA
- onsite
- Permanent / Full Time
- 150000 - 180000 USD / Yearly
- We are looking for a Software Integration Engineer to help connect industrial imaging hardware with reliable software systems that support modern manufacturing operations in Cambridge, Massachusetts. In this role, you will work across camera technologies, application software, and backend services to ensure image capture and device performance meet production needs. This position offers the chance to contribute to a growing team focused on practical computer vision solutions used in real factory environments.<br><br>Responsibilities:<br>• Build and support camera capture capabilities within production software workflows used in manufacturing environments.<br>• Create and maintain integrations for GenICam-compatible cameras, including work with Basler and related imaging toolkits when applicable.<br>• Investigate and resolve image acquisition problems such as timing inconsistencies, dropped frames, and synchronization failures.<br>• Adjust and fine-tune imaging settings including exposure, gain, trigger behavior, and lighting coordination for different use cases.<br>• Collaborate with software engineers to extend hardware connectivity and improve backend services for image capture and device management.<br>• Assess suitable lenses, optics, and illumination approaches to improve image quality and application performance.<br>• Develop and maintain interfaces between the platform and customer equipment, including industrial control and automation systems.<br>• Support configuration of real-time monitoring and control environments tied to production operations where needed.
- 2026-11-02T00:00:00Z