<p><strong>Overview</strong></p><p>We are seeking a <strong>Lead Data Security Engineer</strong> to drive and enhance enterprise-wide data protection initiatives across cloud and on-premises environments. This individual will serve as a technical leader responsible for designing, implementing, and optimizing data security programs focused on <strong>Data Loss Prevention (DLP), Cloud Access Security Broker (CASB), data governance, and information protection</strong>.</p><p>The ideal candidate combines deep hands-on expertise with strong leadership capabilities, helping to safeguard sensitive data, improve security posture, support compliance initiatives, and mentor other security professionals.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the design, implementation, and ongoing improvement of enterprise DLP and CASB programs.</li><li>Architect and manage data discovery, classification, labeling, and protection strategies across cloud and on-prem environments.</li><li>Drive enterprise data governance and information protection initiatives throughout the data lifecycle.</li><li>Conduct and lead DLP investigations, incident response activities, and remediation efforts involving sensitive data exposure or exfiltration risks.</li><li>Integrate data security telemetry into security monitoring and detection platforms to improve visibility and threat detection capabilities.</li><li>Partner with Security Operations and Threat Hunting teams to identify and investigate potential data exfiltration threats.</li><li>Support internal audits, compliance requirements, legal hold processes, and eDiscovery activities.</li><li>Evaluate and recommend security technologies, vendors, and platform enhancements related to data protection and cloud security.</li><li>Collaborate with infrastructure, cloud, legal, compliance, and business stakeholders to establish and enforce data protection standards.</li><li>Provide technical leadership, mentorship, and guidance to security team members and cross-functional partners.</li></ul><p><strong>*Please note: </strong>This position is onsite Monday-Friday in Johns Creek, GA. Do not apply to this posting if you're not already local to metro Atlanta and willing to work 100% onsite. No exceptions will be made.</p>
<p>We are looking for a Mid-Level Database Developer to join a Financial Services team on a long-term contract assignment. This position supports the creation and upkeep of data-focused applications, cloud-enabled services, interfaces, and reporting solutions that help move information reliably across the business. The role offers the opportunity to work closely with engineers, analysts, architects, and stakeholders while building practical experience in both data engineering and software development.</p><p><br></p><p>Responsibilities:</p><p>• Build, enhance, and support data workflows and backend processes using Python, Java, SQL, Azure, and related technologies.</p><p>• Move and refine data between multiple platforms by extracting, transforming, validating, and loading information across varied source and destination systems.</p><p>• Contribute to cloud-based engineering solutions, including services for storage, processing, orchestration, monitoring, and analytics.</p><p>• Create and improve database objects such as queries, views, stored procedures, and transformation logic to support performance and reliability.</p><p>• Assist with integrating data across both relational and non-relational environments while helping maintain consistent and accurate datasets.</p><p>• Develop, test, and support software components and services that interact with internal platforms and external applications.</p><p>• Work with REST and GraphQL interfaces by building or consuming endpoints, handling authentication, managing requests and responses, and supporting error handling.</p><p>• Monitor pipelines, APIs, and applications to identify processing issues, troubleshoot defects, and improve data quality and overall system performance.</p><p>• Produce and maintain dashboards and reports in tools such as Tableau and Power BI to support operational and business visibility.</p><p>• Document technical workflows, specifications, transformation rules, and support procedures while collaborating through GitHub, code reviews, testing, and deployment activities.</p>
<p>Our client is seeking a highly technical and innovative AI Solutions Engineer to design, build, and maintain internal applications, automations, and AI-powered tools that improve operational efficiency across the organization. This is not a traditional product development role. Instead, this individual will focus on solving business challenges through custom software development, workflow automation, system integrations, and practical applications of artificial intelligence.</p><p>The ideal candidate thrives in fast-paced environments, enjoys transforming ambiguous business needs into working solutions, and is comfortable partnering with both technical and non-technical stakeholders. This position offers the opportunity to work on a wide variety of projects while leveraging modern software development practices, cloud technologies, and AI capabilities to drive operational excellence.</p><p>Key Responsibilities</p><ul><li>Design, develop, and support internal applications, dashboards, automation tools, and workflow solutions that enhance business operations.</li><li>Build and integrate AI and Large Language Model (LLM) capabilities into existing processes, including document analysis, classification, workflow routing, content generation, summarization, and reporting.</li><li>Develop and maintain integrations between internal systems and third-party platforms using APIs and web services.</li><li>Rapidly prototype new solutions, gather business feedback, and evolve prototypes into scalable, maintainable production applications.</li><li>Collaborate with cross-functional teams to identify process improvement opportunities and implement technology-driven solutions.</li><li>Ensure applications meet security, privacy, governance, and compliance requirements.</li><li>Create and maintain technical documentation, architecture diagrams, and operational procedures to ensure ongoing supportability and audit readiness.</li><li>Monitor, troubleshoot, and enhance deployed solutions to ensure reliability and performance.</li></ul><p><br></p>
<p>We are seeking an AI Engineer to design, develop, and deploy AI-powered applications that solve real business challenges. This role will work closely with software engineering, data, and business teams to build scalable solutions leveraging Generative AI, Large Language Models (LLMs), machine learning, and cloud platforms.</p><p>Responsibilities</p><ul><li>Design and develop AI-powered applications and services.</li><li>Build and optimize prompts, RAG pipelines, and AI workflows.</li><li>Integrate OpenAI, Azure OpenAI, and other LLM platforms into enterprise applications.</li><li>Develop APIs and microservices that support AI solutions.</li><li>Collaborate with data engineers and software developers to deploy AI models into production.</li><li>Monitor model performance and improve accuracy, reliability, and scalability.</li><li>Implement AI security, governance, and responsible AI practices.</li><li>Document technical designs and best practices.</li></ul><p><br></p>
<p>obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
<p>Robert Half is seeking experienced Data Center Engineers to support clients with infrastructure operations, troubleshooting, deployments, and ongoing data center reliability.</p><p>Responsibilities</p><ul><li>Support servers, storage, networking, and data center infrastructure</li><li>Troubleshoot complex hardware and infrastructure issues</li><li>Coordinate server and network deployments</li><li>Support capacity planning, hardware refreshes, and infrastructure upgrades</li><li>Develop and maintain technical documentation</li><li>Participate in incident response and root-cause analysis</li><li>Coordinate with network, systems, cloud, security, and facilities teams</li><li>Support change management and production maintenance activities</li></ul><p><br></p>
<p><strong>Senior Cloud Security Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A global firm based in Los Angeles, California is seeking a Senior Cloud Security Engineer to strengthen its cybersecurity program across cloud, data, endpoint, identity, and enterprise environments. This is an opportunity to join a collaborative technology organization where security, risk management, and operational excellence are critical to the business.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior Cloud Security Engineer will be a hands-on member of the Information Security team responsible for securing cloud infrastructure, enterprise data platforms, endpoints, identities, and business-critical systems. This role has a particular emphasis on Microsoft Azure security and will partner closely with data engineering and technology teams to secure modern cloud-based data environments. The ideal candidate combines strong cloud security architecture and engineering expertise with practical experience across security operations, incident response, vulnerability management, data protection, and risk management.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Serve as a security engineering resource for Microsoft Azure architecture, integrations, network security, identity, access controls, secrets management, and cloud security posture.</li><li>Partner with data engineering teams to secure cloud-based data and analytics platforms through appropriate authentication, encryption, network controls, logging, and secrets management.</li><li>Review security configurations and architecture for new cloud, application, and data platform integrations prior to production deployment.</li><li>Monitor, investigate, and respond to security events involving cloud, endpoint, email, identity, data protection, and enterprise systems.</li><li>Lead vulnerability identification, prioritization, remediation tracking, patch management, and cloud security configuration improvements.</li><li>Support identity security initiatives including Microsoft Entra ID, conditional access, managed identities, least privilege, and identity governance.</li><li>Develop and enhance cloud security monitoring, alerting, data protection, and incident response capabilities.</li><li>Apply Infrastructure-as-Code practices to help automate, standardize, and enforce secure cloud configurations.</li><li>Conduct security assessments and collaborate with technology vendors and managed security providers to identify and remediate risk.</li><li>Support governance, risk, compliance, audit, business continuity, and disaster recovery activities across the organization.</li></ul><p><strong>Additional Details</strong></p><ul><li>3 days onsite, 2 days remote</li><li>Hands-on security engineering role spanning cloud infrastructure, data platforms, security operations, and enterprise security</li><li>Close collaboration with data engineering, IT, technology vendors, and managed security providers</li><li>Opportunity to work across a broad cybersecurity technology stack within a highly regulated environment</li><li>Candidates must be authorized to work in the United States</li></ul>
We are looking for a Software Engineer to join a long-term contract opportunity supporting a secure research data platform in Houston, Texas. In this role, you will help create and enhance web-based tools that allow researchers to work with large-scale learning and behavioral data while maintaining strong privacy protections. This position blends full-stack development, data-focused problem solving, and close collaboration with technical and academic stakeholders. The ideal candidate brings strong TypeScript-based engineering experience and enjoys building reliable products that support meaningful research outcomes.<br><br>Responsibilities:<br>• Build and enhance end-to-end platform capabilities across user-facing applications and backend services, with a strong focus on scalable full-stack delivery.<br>• Create responsive interfaces using modern JavaScript frameworks and develop server-side functionality that supports secure and efficient data workflows.<br>• Design and integrate data models that connect information from multiple research sources into a cohesive platform architecture.<br>• Contribute to cloud-based infrastructure and automated delivery processes to improve system reliability, performance, and release quality.<br>• Work closely with engineers, product leaders, data specialists, and research partners to translate complex needs into practical software solutions.<br>• Improve code quality through thoughtful system design, peer reviews, testing practices, and clear technical documentation.<br>• Support platform stability by identifying performance issues, troubleshooting technical problems, and helping optimize large application codebases.<br>• Provide guidance to less experienced team members and contribute to a collaborative, high-accountability engineering culture.
<p><strong>Senior Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading firm based in Los Angeles, California is seeking a Senior Software Engineer to join its technology organization. The firm manages a significant portfolio of institutional assets across credit, private investments, and other alternative strategies. Technology and AI are central to its ongoing innovation strategy, with continued investment in intelligent applications, automation, and data-driven solutions.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior Software Engineer will be a hands-on full-stack developer responsible for building and supporting internal applications, AI-enabled solutions, enterprise integrations, and the Salesforce platform. This role will work closely with investment, operations, compliance, investor relations, accounting, and data teams to turn complex business processes into scalable technology solutions. </p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop applications that automate workflows across investment management, compliance, operations, accounting, and investor relations.</li><li>Build full-stack solutions using C#, .NET, SQL, Python, JavaScript/TypeScript, APIs, and modern development frameworks.</li><li>Develop and support AI-enabled applications, agent workflows, document processing, and intelligent automation solutions.</li><li>Configure and enhance Salesforce, including objects, fields, flows, validation rules, security, integrations, and light custom development.</li><li>Build integrations between Salesforce, internal applications, data platforms, and third-party systems using APIs, ETL, messaging, and automation.</li><li>Develop data and document processing workflows that extract, validate, transform, and load information into enterprise systems.</li><li>Partner directly with investment and business teams to translate domain expertise into repeatable, automated workflows.</li><li>Support reporting and analytics initiatives while maintaining data quality and consistency across connected systems.</li><li>Troubleshoot production applications and integrations, perform root-cause analysis, and implement long-term solutions.</li><li>Apply AI-assisted engineering practices to accelerate development, testing, documentation, and process automation.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Hybrid, three days onsite per week</li><li>Quarterly travel may be required</li><li>Opportunity to join an organization with an established investment in AI and help build the next generation of internal AI capabilities</li><li>Direct collaboration with senior technology leadership and investment professionals</li></ul>
We are looking for a Systems Engineer to support technical operations and engineering activities at our facility in Muskegon Heights, Michigan. This position partners with engineering, testing, technical services, and customer-facing teams to coordinate projects, resolve technical issues, and ensure work is completed efficiently and accurately. The role combines hands-on project support, analytical problem-solving, and formal reporting in a fast-paced technical environment.<br><br>Responsibilities:<br>• Collaborate with customers, sales teams, powertrain groups, plant personnel, and internal departments to address matters connected to Technical Center activities.<br>• Coordinate communication across cross-functional teams to ensure technical information is shared clearly and project objectives remain aligned.<br>• Interpret customer needs alongside internal testing and development standards, and create or refine procedures when new methods are needed.<br>• Organize and execute investigations, testing assignments, and technical projects within the Technical Center while supporting engine build activities as required.<br>• Oversee or carry out specialized testing tasks and document outcomes through structured reports, summaries, and data-driven conclusions.<br>• Analyze technical data and present findings to stakeholders to support engineering decisions and project reviews.<br>• Contribute to cost improvement efforts by identifying practical opportunities to enhance efficiency and reduce unnecessary expense.<br>• Maintain databases, records, and general administrative documentation that support engineering and testing operations.<br>• Follow all safety requirements, established procedures, and company standards while promoting a safe working environment for others nearby.
We are looking for a Database Administrator to join a team in Bloomfield Hills, Michigan in a contract-to-permanent capacity. This position is well suited for someone with solid database administration experience who can support day-to-day operations, review database practices, and assist engineers working across on-premises and Azure environments. The role focuses on maintaining reliable database performance, helping validate technical approaches, and contributing to data initiatives that connect into a broader data lake strategy.<br><br>Responsibilities:<br>• Manage and support database administration activities across Microsoft SQL Server, Azure SQL Database, and MySQL environments.<br>• Review database configurations, scripts, and implementation approaches to help confirm alignment with sound operational standards and best practices.<br>• Partner with data engineers by providing administrative support for both on-premises systems and cloud-based Azure database workloads.<br>• Monitor database health, identify performance bottlenecks, and carry out tuning efforts to improve stability and efficiency.<br>• Execute assigned work within Azure environments, including routine support tasks and updates provided by senior engineering team members.<br>• Assist with database-related activities tied to data flows that contribute to enterprise data lake initiatives.<br>• Troubleshoot database issues, investigate root causes, and recommend practical corrective actions to reduce recurring problems.
We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams.<br><br>Responsibilities:<br>• Design and maintain semantic models that support reporting needs across operational and executive audiences.<br>• Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance.<br>• Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs.<br>• Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers.<br>• Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment.<br>• Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery.<br>• Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust.<br>• Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
<p>Working as an IT professional serving FP& A group in administering and developing new tools, functionality enhancements, and departmental modification requests. This role will require strong Power BI Engineering skills, NetSuite ERP administration and quality assurance, and maintaining clean and scalable usage of Workday Adaptive Planning</p><p><br></p><p>We are looking for a finance-savvy analytics specialist to connect business priorities with data-driven reporting and planning solutions in Tampa, Florida. This role works across Finance, Technology, and leadership teams to turn complex operational and financial information into clear insights that support planning, performance measurement, and strategic decisions. The ideal candidate brings strong experience with Power BI, enterprise financial systems, and modern analytics practices, along with the ability to communicate effectively with both technical and non-technical stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Work closely with finance leaders and cross-functional partners to gather reporting needs and translate them into practical analytics solutions.</p><p>• Design and enhance Power BI dashboards and recurring reports that provide leadership with clear visibility into business and financial performance.</p><p>• Build, refine, and troubleshoot data queries to pull information from enterprise platforms for analysis, validation, and reporting.</p><p>• Coordinate with data engineering teams to support reliable data flows, scalable reporting structures, and consistent metric definitions.</p><p>• Evaluate financial and operational results, uncover meaningful trends, and deliver actionable recommendations to decision-makers.</p><p>• Support budgeting, forecasting, and planning activities by creating reporting tools and analytical outputs that improve accuracy and insight.</p><p>• Develop data models and performance measures that track revenue, expenses, utilization, and other key business indicators.</p><p>• Use Python and related tools to streamline manual reporting tasks and strengthen analytical automation.</p><p>• Promote data quality, governance, and reporting consistency across systems used by finance and business teams.</p>
<p><strong>Machine Learning 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 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. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments.</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>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</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><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
We are looking for a Back End Engineer to join a long-term contract opportunity in Texas. In this role, you will create reliable backend systems and data processing solutions that support analytics and engineering initiatives while helping shape scalable platform architecture. You will work closely with technical and cross-functional partners to turn complex requirements into maintainable services, with a strong focus on cloud deployment, performance, and code quality.<br><br>Responsibilities:<br>• Create and deliver backend services, APIs, and data workflows that support analytics and broader engineering operations.<br>• Guide technical decisions for backend compute architecture, including the assessment and implementation of Palantir Foundry Compute Modules and container-based cloud platforms such as Fargate.<br>• Develop, package, and support backend applications and microservices using Docker, emphasizing readable, testable, and maintainable code.<br>• Partner with data, product, and engineering stakeholders to convert business and mission needs into efficient technical solutions.<br>• Set up and improve CI/CD processes, automated releases, and monitoring practices across cloud and platform environments.<br>• Produce and maintain technical documentation, system design artifacts, and interface specifications to support development and operations.<br>• Contribute to Agile delivery activities such as sprint planning, daily team syncs, backlog refinement, and solution demonstrations.<br>• Investigate and resolve application issues, integration challenges, and system performance concerns with minimal supervision.<br>• Provide technical guidance to entry-level and mid-level team members and share best practices with project teams as needed.
We are looking for a Business Insights Analyst to join our Financial Services team in McAllen, Texas. In this role, you will connect banking operations with data-driven decision-making by turning complex business questions into practical analysis, reporting, and performance insights. You will work closely with partners across the bank to uncover trends, measure results, and recommend actions that strengthen growth, efficiency, profitability, and risk awareness.<br><br>Responsibilities:<br>• Partner with stakeholders across lending, deposits, branch operations, treasury management, finance, marketing, risk, and related functions to define analytical needs and translate them into actionable deliverables.<br>• Apply banking knowledge to interpret customer relationships, product usage, portfolio activity, balances, pricing, fees, and transaction behavior in support of strategic and operational decisions.<br>• Develop and maintain dashboards, reports, performance metrics, and analytical models that provide timely visibility into key business outcomes.<br>• Convert business questions into clear rules, calculations, definitions, and expected results for data analysts, engineers, and other technical collaborators.<br>• Evaluate data to identify trends, anomalies, emerging risks, and growth opportunities, then explain the business impact in straightforward language.<br>• Recommend actions that improve customer retention, relationship expansion, pricing strategy, profitability, operating efficiency, and risk management.<br>• Validate assumptions, data definitions, and analytical findings with business and technical teams before insights are used to guide decisions.<br>• Identify data quality concerns, document limitations and methodologies, and work with appropriate partners to improve the reliability and usability of information.<br>• Support the design and use of data pipelines and reporting solutions by providing banking context to IT and data engineering teams.<br>• Maintain compliance with applicable banking regulations, internal controls, audit expectations, and procedures, including awareness of suspicious or unusual activity reporting requirements.
<p>Sr ETL Developoer w/ modern Databricks Lakehouse Platform experience. This position will be hybrid in the East Hillsborough County area with 2 days remote per week. </p><p><br></p><p>We are looking for a senior data engineering specialist to design and enhance modern data solutions that support enterprise reporting, analytics, and operational workloads. This role blends deep ETL and database development expertise with hands-on work in the Databricks Lakehouse ecosystem, helping teams build reliable, scalable, and well-governed data assets. The ideal candidate brings strong SQL Server experience, practical knowledge of Databricks technologies, and a collaborative approach to delivering maintainable solutions across business and technology teams.</p><p><br></p><p>Responsibilities:</p><p>• Build, support, and improve data solutions within the Databricks platform, including notebooks, workflows, Delta Lake, and Unity Catalog capabilities.</p><p>• Define and maintain data governance structures by organizing catalogs, schemas, tables, storage volumes, access controls, lineage, and quality expectations.</p><p>• Create and manage ETL processes for data ingestion, transformation, batch execution, and incremental synchronization across enterprise systems.</p><p>• Develop repeatable integration patterns, technical templates, and engineering standards that encourage broader adoption of Databricks across applications.</p><p>• Partner with teams using Databricks Lakebase and PostgreSQL to enable transactional, operational, and analytical data use cases.</p><p>• Design and maintain AI-driven business intelligence environments using trusted enterprise datasets, semantic layers, user guidance, and sample prompts or queries.</p><p>• Investigate and resolve issues affecting pipelines, scheduled jobs, workflows, and overall platform performance.</p><p>• Develop, test, and maintain SQL Server database objects such as stored procedures, functions, views, and triggers to support application and integration needs.</p><p>• Optimize database performance by refining queries, reviewing execution plans, improving indexing strategies, and addressing locking or concurrency issues.</p><p>• Contribute to Agile delivery activities by participating in planning sessions, design discussions, code reviews, and collaboration with stakeholders and application developers.</p>
<p>Robert Half is seeking an innovative <strong>AI Software Engineer</strong> to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments.</p><p>This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>AI Application Development:</strong> Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li><strong>LLM Integration:</strong> Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li><strong>Machine Learning Solutions:</strong> Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li><strong>Software Engineering:</strong> Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li><strong>Data Processing:</strong> Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li><strong>Cloud Deployment:</strong> Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li><strong>Model Optimization:</strong> Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li><strong>Collaboration:</strong> Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li><strong>Research & Innovation:</strong> Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul><p><br></p>
We are looking for an experienced Lead Artificial Intelligence (AI) Engineer to guide the design and delivery of advanced AI solutions for a growing construction-focused organization in Avon, Minnesota. This role will lead the creation of scalable applications that turn complex project and operational data into practical, production-ready tools. The ideal candidate brings strong technical leadership, deep hands-on engineering expertise, and a track record of building reliable AI systems that integrate with enterprise platforms.<br><br>Responsibilities:<br>• Lead the technical direction, architecture, and full lifecycle delivery of a core software platform from early concept through production deployment and ongoing improvement.<br>• Design and develop production-grade AI applications, including retrieval-based solutions, agent-driven workflows, tool orchestration, and review processes that incorporate human oversight.<br>• Create robust evaluation frameworks and context management approaches to improve model quality, system reliability, and business relevance.<br>• Connect AI capabilities with enterprise platforms such as Procore, Salesforce, Bluebeam, financial systems, and the organization’s Microsoft Fabric data environment.<br>• Define and enforce engineering best practices across the AI team, including codebase organization, testing strategy, release management, and operational readiness.<br>• Establish observability standards and monitor usage patterns, performance trends, and solution costs to support stable and efficient production systems.<br>• Partner with cross-functional stakeholders to translate construction and project data into practical AI-enabled workflows and decision-support tools.<br>• Ensure security and governance considerations are embedded throughout solution design, deployment, and ongoing maintenance.
<p>Robert Half is working with a client in Lawrenceville, GA looking for an AI Engineer.</p><ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
<p>Robert Half is working with a client in Lawrenceville, GA who is seeking an AI Engineer.</p><ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
<p>We are seeking a technically strong <strong>Product Engineer</strong> to support the development, quality, compliance, and ongoing improvement of our client’s diverse product portfolio. This Product Engineer will serve as a key technical resource across product development and will work closely with international manufacturing partners, internal product and quality teams, sales, and branch operations.</p><p>The ideal candidate brings hands-on knowledge of refrigeration and HVAC/R equipment, strong engineering judgment, and the ability to translate technical requirements into practical product solutions. Experience working with overseas manufacturers, particularly within a private-label or distribution environment, is highly valued.</p><p><br></p><p>How You Will Make an Impact:</p><ul><li>Manage the technical lifecycle of assigned products, establishing and maintaining engineering requirements, specifications, and performance standards from initial development through commercialization.</li><li>Support a broad product portfolio that includes ductless and inverter-based ducted systems, refrigerants, hoses, tools, components, and replacement parts.</li><li>Analyze engineering drawings, technical documentation, specifications, and manufacturer data to identify design, performance, and manufacturability considerations.</li><li>Collaborate with international factory partners to refine product designs, resolve technical concerns, and ensure products meet established requirements.</li><li>Work closely with the international office and manufacturing teams to create, update, and standardize product specifications and technical documentation.</li><li>Oversee engineering aspects of product compliance and certification for the North American market, including UL, ETL, AHRI, EPA 608, and DOE requirements.</li><li>Investigate product failures and technical issues through structured root-cause analysis and coordinate corrective and preventive actions with suppliers.</li><li>Contribute technical expertise to product planning by researching competing products, conducting teardown evaluations, and assessing new technologies and market developments.</li><li>Assist with new product introductions by coordinating third-party testing, certification activities, and technical approvals.</li><li>Prepare and maintain product documentation, including installation instructions, troubleshooting materials, technical notices, and product bulletins.</li><li>Track changes to HVAC/R industry standards and government regulations and communicate potential impacts to the product and compliance teams.</li><li>Work with Sales and Marketing to create technical product resources, competitive comparison materials, training content, and other tools that support the field organization.</li></ul>
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.
<p>A healthcare-focused organization is seeking a contract Full Stack Engineer to support a core identity and database platform for healthcare professionals, along with a companion desktop application used by an internal data operations team. This is a maintenance-and-enhancement role supporting an established, business-critical legacy system rather than a greenfield build or a role centered on a modern React/FastAPI/PostgreSQL stack.</p><p>The engineer will own changes end-to-end within the existing environment, which includes Classic ASP, ASP.NET (VB.NET/C#), Oracle PL/SQL, and related desktop and caching layers. Success in this role requires hands-on experience with this specific legacy stack; general modern full-stack experience alone is not sufficient.</p><p><br></p><p><strong>About the Platforms</strong></p><ul><li>The primary platform is a customer-facing and internal web application built on top of a large Oracle database containing tens of millions of healthcare professional records that serve as a core system of record for products and clients.</li><li>The companion application is a WPF desktop tool used by internal operations staff to validate professional license data before it is published to the main platform. While this desktop application is expected to be retired eventually, it remains in active daily use and requires dependable ongoing support until that transition occurs.</li></ul><p><strong>Essential Duties and Responsibilities</strong></p><ul><li>Design, build, and support features end-to-end, from UI layers built in Classic ASP, ASP.NET Web Forms/MVC, jQuery, and Bootstrap through the Oracle PL/SQL data layer.</li><li>Read, write, and troubleshoot Oracle PL/SQL, including stored procedures, packages, triggers, and views.</li><li>Provide maintenance and enhancement support for a WPF desktop application.</li><li>Diagnose and resolve production issues across the full stack, including database changes managed under change control.</li><li>Follow established coding, schema design, and database unit testing standards for all database changes, and deliver reviewed, issue-specific deployment scripts.</li><li>Participate in code reviews and technical design discussions with the product team.</li><li>Use AI-assisted development tools where helpful to accelerate work in legacy codebases; this is encouraged but not required.</li></ul><p><br></p>
<p><strong>Robert Half is working with a client who is looking to hire a Machine Learning Engineer</strong> to help operationalize machine learning models as part of a growing enterprise AI program.</p><p>This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.</p><p>Responsibilities</p><ul><li>Develop and deploy machine learning models into production.</li><li>Build reusable ML pipelines for training, testing, deployment, and monitoring.</li><li>Partner with Data Scientists to productionize predictive models.</li><li>Develop APIs and services that expose machine learning capabilities to enterprise applications.</li><li>Monitor model performance, drift, and reliability.</li><li>Build automated testing and deployment processes for ML workloads.</li><li>Optimize model performance and infrastructure utilization.</li><li>Work with Data Engineering teams to establish reliable training and inference datasets.</li></ul><p><br></p>