We are looking for a Data Integration Specialist to support enterprise data connectivity, reporting, and analytics for a complex Epicor Kinetic environment in Spartanburg, South Carolina. This Long-term Contract position focuses on building dependable data flows, strengthening reporting foundations, and enabling trusted business insights across connected systems. The role partners with cross-functional teams to improve data architecture, maintain secure integrations, and support scalable platforms used for operational and executive decision-making.<br><br>Responsibilities:<br>• Create, deploy, and support data integrations linking Epicor Kinetic with internal platforms, external applications, and third-party business tools.<br>• Develop and maintain APIs, ETL routines, automated workflows, and data pipelines that ensure consistent and efficient information exchange.<br>• Assist with data migration and synchronization efforts related to system deployments, version upgrades, and acquired business entities.<br>• Track integration performance, troubleshoot failures, and resolve data flow bottlenecks or accuracy issues affecting business operations.<br>• Design and refine data models that provide a reliable foundation for enterprise reporting, analytics, and downstream consumption.<br>• Build and optimize extraction processes from Epicor Kinetic to improve data availability for warehouse, lake, and Fabric-based environments.<br>• Support enterprise data platforms, including Data Warehouse, Microsoft Fabric, and Data Lake solutions, to maintain accessibility and performance.<br>• Prepare and maintain curated datasets used in Power BI dashboards, executive reporting, and operational analysis.<br>• Establish data quality checks, investigate root causes of information issues, and implement corrective actions to improve trust in reporting.<br>• Contribute to master data governance practices and recommend effective integration patterns and data architecture standards.
<p>For our client, we are seeking an experienced Database Administrator to manage, maintain, secure, and optimize enterprise database environments. This individual will be responsible for database performance, availability, backup and recovery, troubleshooting, and supporting application teams with database-related initiatives.</p>
<p><strong>Job Summary</strong></p><p>We are seeking a Data Analyst with strength in data visualization and the use of AI tools to support reporting, dashboard development, and business insights. This role will transform data into meaningful visual outputs, identify trends, and help improve decision-making through modern analytical tools. The ideal candidate is curious, analytical, and skilled at presenting data in a clear and impactful way.</p><p><strong>Key Responsibilities</strong></p><ul><li>Analyze data from multiple sources to identify trends and insights</li><li>Build dashboards, reports, and visualizations for business users</li><li>Support data quality, validation, and cleansing efforts</li><li>Use AI-enabled tools to streamline analysis and reporting workflows</li><li>Translate business questions into actionable data outputs</li><li>Partner with stakeholders to define reporting needs</li><li>Present findings in a clear, concise, and visually effective format</li><li>Support process improvement and automation initiatives</li></ul><p><br></p>
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>For our client, we are seeking an experienced Cloud Engineer to design, implement, manage, and optimize cloud infrastructure and services. This individual will support cloud migrations, infrastructure automation, system reliability, and security initiatives while ensuring high availability and performance across enterprise cloud environments.</p>
We are looking for a Cloud Engineer to join a service organization in Jacksonville, Florida in a contract capacity with the potential to become permanent. This role is suited for a hands-on, detail-oriented individual who can strengthen and support enterprise cloud infrastructure while improving reliability, automation, and operational efficiency. The position will work across Microsoft-based environments and Azure services, partnering with technical teams to deliver stable, secure, and scalable solutions.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud and hybrid infrastructure solutions across enterprise Microsoft and Azure environments.<br>• Administer production Azure resources and help optimize performance, availability, and cost across hosted services.<br>• Build and enhance automated infrastructure deployment processes using Infrastructure as Code tools such as Terraform.<br>• Support container-based platforms, including Docker and Azure Kubernetes Service, to improve application delivery and platform scalability.<br>• Collaborate with engineering and operations teams to define technical standards, strengthen system reliability, and promote cloud best practices.<br>• Lead infrastructure initiatives from planning through execution, ensuring timelines, quality expectations, and business needs are met.<br>• Troubleshoot complex platform, server, and network-related issues, including active participation during service incidents and outage response calls.<br>• Develop and maintain scripts and deployment workflows using tools such as PowerShell, Python, or Bash to streamline administration and repeatable tasks.<br>• Contribute to secure cloud operations by applying sound controls for access, compliance, data protection, and environment governance.<br>• Deliver responsive internal support by listening carefully, communicating clearly, recommending practical solutions, and confirming follow-up actions are completed.
We are looking for a Cloud Engineer to help build and support resilient cloud infrastructure in Morristown, New Jersey. In this role, you will create automation-first solutions using Terraform and Infrastructure as Code practices to improve scalability, consistency, and security. You will partner with development, DevOps, security, and infrastructure teams to deliver reliable cloud platforms and streamline deployment processes.<br><br>Responsibilities:<br>• Architect, implement, and maintain cloud environments across major platforms such as AWS, Azure, or Google Cloud.<br>• Create and refine reusable Terraform modules and infrastructure code standards to enable consistent provisioning at scale.<br>• Automate infrastructure deployment, system configuration, and operational workflows to reduce manual effort and improve reliability.<br>• Develop and support cloud networking, identity, security, and observability capabilities for enterprise applications.<br>• Work with cross-functional engineering teams to advance CI/CD pipelines and strengthen cloud automation practices.<br>• Investigate and resolve issues affecting infrastructure, cloud services, and application performance.<br>• Apply security controls, governance policies, and compliance measures throughout the cloud environment.<br>• Track platform health, availability, and resource usage to support performance optimization and capacity planning.<br>• Support container-based platforms using technologies such as Kubernetes and Docker.<br>• Produce clear technical documentation, architecture visuals, and operational procedures while contributing to cloud modernization initiatives.
We are looking for a Cloud Engineer to help build and support secure, scalable cloud infrastructure for a financial services environment in McAllen, Texas. This role focuses on strengthening Azure and hybrid platform capabilities, improving reliability, and advancing governance across cloud services and data platforms. The ideal candidate brings hands-on engineering experience, sound judgment around security and compliance, and the ability to work across technical teams to deliver durable solutions.<br><br>Responsibilities:<br>• Architect, deploy, and administer cloud infrastructure across Microsoft Azure and hybrid environments to support performance, availability, and long-term scalability.<br>• Assess emerging cloud tools and platform capabilities, then recommend practical solutions that improve efficiency, resiliency, and security.<br>• Apply and manage cloud security measures such as access controls, encryption standards, and network isolation to protect critical systems and data.<br>• Partner with internal stakeholders to maintain alignment with regulatory expectations, audit requirements, and organizational security policies affecting cloud services.<br>• Investigate platform incidents and service disruptions, identify root causes, and restore operations in a timely manner.<br>• Contribute to on-call coverage and respond to urgent production issues or escalations outside standard business hours when needed.<br>• Establish governance practices for cloud environments, including authentication approaches, monitoring standards, lifecycle oversight, and control frameworks.<br>• Design integrations and platform components using consistent, reusable, and maintainable architectural patterns.<br>• Define standards for data organization, metadata, lineage, quality, and governance to support trusted enterprise data use.<br>• Help shape cloud architecture to enable future capabilities such as Microsoft Fabric, Azure AI services, Copilot-related tools, and advanced analytics initiatives.
<p>We are seeking an experienced <strong>Azure Cloud Engineer</strong> to design, implement, manage, and optimize cloud infrastructure within Microsoft Azure environments. This role will focus on supporting cloud operations, infrastructure deployments, automation, security, and performance optimization across enterprise systems. The ideal candidate has strong hands-on experience with Azure infrastructure and services, cloud networking, and infrastructure automation, along with the ability to troubleshoot complex cloud environments and implement scalable, secure solutions.</p>
We are looking for a Database Technology Product Manager to lead the strategy, development, and launch of advanced data-driven products within a hospitality environment in California. This contract-to-permanent opportunity is ideal for an experienced product leader who can connect executive priorities with technical execution, while shaping new capabilities that turn complex customer data into meaningful business insight. The right candidate will bring a strong command of machine learning, data science, and hospitality consumer behavior, along with the presence and judgment to communicate effectively at the board level.<br><br>Responsibilities:<br>• Lead the full product lifecycle for database and data science initiatives, from early concept development through deployment, measurement, and ongoing enhancement.<br>• Act as the central point of coordination between executive leadership, business stakeholders, and engineering teams to keep priorities aligned and delivery on track.<br>• Establish and grow a technical product management function focused on research and development initiatives within the organization.<br>• Define product strategy, investment priorities, and roadmap decisions for proprietary data products that support customer insight and business growth.<br>• Develop a data science inference capability that converts large and complex datasets into recommendations, decision support, and behavioral signals across hospitality experiences.<br>• Deliver clear updates to senior executives and board-level audiences, clearly outlining progress, risks, outcomes, and future plans.<br>• Guide prioritization and governance discussions by evaluating trade-offs, setting benchmarks, and supporting funding-related decision processes.<br>• Partner with technical teams to translate machine learning, data modeling, and analytics concepts into practical product direction and measurable value.<br>• Help bring specialized products to market responsibly while serving as a strategic interface between developers and customer-facing partners.
<p><strong>Software Engineer, AI</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A growing organization is seeking an AI Engineer to develop automation, data, and AI-driven solutions that improve business processes and operational efficiency. This role offers the opportunity to work on innovative projects while helping shape the organization's use of emerging technologies.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The AI Engineer will design, build, and support AI-powered applications, automation solutions, and data-driven workflows. The ideal candidate combines strong software engineering skills with experience delivering practical AI solutions in a business environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and support AI-enabled applications and automation solutions.</li><li>Partner with business and technical teams to identify opportunities for process improvement.</li><li>Build integrations between AI solutions, data sources, and business applications.</li><li>Monitor solution performance and continuously improve reliability and effectiveness.</li><li>Develop and maintain technical documentation and best practices.</li><li>Support the evaluation and adoption of emerging AI technologies.</li></ul>
We are looking for an IT Engineer to support and enhance enterprise infrastructure across San Antonio, Texas. This role focuses on maintaining reliable systems, strengthening identity and network services, and contributing technical expertise to infrastructure and security initiatives. The ideal candidate brings hands-on experience across Microsoft platforms, cloud services, virtualization, backup technologies, and enterprise networking environments.<br><br>Responsibilities:<br>• Oversee the health, upkeep, and rollout of core infrastructure components, including servers, network hardware, and related enterprise systems.<br>• Manage Microsoft identity and access platforms by administering, deploying, and resolving issues across Active Directory, Entra ID, and associated services.<br>• Implement and support infrastructure solutions across cloud, on-premises, and endpoint environments while ensuring stable day-to-day operations.<br>• Partner with security team members to complete infrastructure-related security work and help maintain a resilient technical environment.<br>• Collaborate with internal and external solution delivery teams when advanced infrastructure expertise is needed for project execution.<br>• Advise infrastructure leadership on emerging tools, operational improvements, and technical opportunities that can benefit the business.<br>• Coordinate with IT business stakeholders to clarify expectations and communicate changes that may affect users or operations.<br>• Serve as a senior escalation resource for complex incidents and technical problems that require advanced troubleshooting beyond the service desk.<br>• Support network and operational technology environments, including work involving enterprise switching, wireless platforms, firewalls, and industrial systems where applicable.
<p><br></p><ul><li><strong>Position:</strong> Data Analyst - Legal Entity Management (Contract-to-Hire)</li><li><strong>Location:</strong> Newark, DE 19713</li><li><strong>Schedule:</strong> 100% Onsite, Monday-Friday, 9:00 AM - 5:00 PM</li><li><strong>Required Experience:</strong> 2+ years of experience working with legal entity documentation, onboarding, data gathering, or financial services operations</li><li><strong>Tentative Pay Rate:</strong> <strong>$30.00 per hour</strong></li></ul><p>Job Description</p><p>Our client is seeking a detail-oriented <strong>Data Analyst</strong> to join the <strong>CAPO - Legal Entity Management</strong> team supporting Global Alternatives. This role is responsible for reviewing and interpreting legal entity documentation, supporting entity onboarding and maintenance activities, ensuring data quality, and partnering with stakeholders across the business to meet regulatory and operational requirements.</p><p>The ideal candidate will have strong analytical skills, experience handling sensitive information, exceptional attention to detail, and the ability to manage multiple priorities in a fast-paced environment.</p><p>Key Responsibilities</p><ul><li>Support end-to-end legal entity onboarding and maintenance across firmwide platforms</li><li>Review, analyze, and interpret legal entity documents and supporting records</li><li>Gather, validate, and maintain legal entity and financial data</li><li>Handle sensitive PII and ensure compliance with data retention requirements</li><li>Prepare and support monthly, quarterly, and annual reporting activities</li><li>Maintain audit-ready documentation and evidence supporting regulatory controls</li><li>Partner with business stakeholders, operations teams, controllers, and regulatory groups</li><li>Conduct data quality reviews and resolve documentation or data discrepancies</li><li>Assist with process improvement initiatives, automation opportunities, and data governance projects</li><li>Support special projects aligned with legal entity management and reporting objectives</li></ul>
<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>
<p>We are looking for a Staff Database Engineer to provide technical leadership for a global cloud data environment supporting large-scale, distributed business operations in Utah. This contract-to-hire position will focus on building and improving secure, highly available database platforms across AWS while partnering with engineering teams to strengthen performance, resilience, and scalability. The role is ideal for someone who brings deep database expertise, strong automation skills, and a practical approach to supporting modern data pipelines and enterprise applications.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing improvement of multi-region database environments across AWS to support globally distributed workloads.</p><p>• Administer and enhance a mix of relational and non-relational platforms, including Snowflake, PostgreSQL, DynamoDB, DocumentDB, Cosmos DB, and MongoDB.</p><p>• Drive database migration efforts between cloud platforms, regional deployments, and legacy environments while minimizing operational risk.</p><p>• Improve system performance through thoughtful indexing, query refinement, capacity planning, and scalable data architecture decisions.</p><p>• Strengthen availability and cost efficiency by tuning database platforms for enterprise-scale throughput, resiliency, and low-latency access.</p><p>• Support data ingestion and ETL workflows by collaborating on services and orchestration tools used across cloud-based pipeline ecosystems.</p><p>• Establish secure connectivity patterns, access controls, encryption standards, and secrets management practices for database services.</p><p>• Build and maintain backup, recovery, and disaster preparedness processes, including point-in-time restore capabilities and continuity planning.</p><p>• Expand monitoring and operational visibility using cloud and third-party observability tools, and take ownership of production incident response when needed.</p><p>• Create and maintain technical documentation such as runbooks, operational procedures, and architecture decision records to support long-term platform reliability</p>
<p>Seeking a Back-End Engineer to build scalable APIs, microservices, and cloud-native applications that support high-volume business operations.</p><p>Responsibilities</p><ul><li>Develop RESTful APIs and backend services.</li><li>Write clean, scalable, and maintainable code.</li><li>Optimize application performance and security.</li><li>Collaborate with front-end developers and product teams.</li><li>Participate in code reviews and architecture discussions.</li></ul><p><br></p>
<p>We are seeking a talented Back-End Software Engineer to design, develop, and maintain scalable APIs, microservices, and cloud-native applications that support high-volume business operations.</p><p>Responsibilities</p><ul><li>Design and develop RESTful APIs and backend services</li><li>Write clean, efficient, scalable, and maintainable code</li><li>Monitor and optimize application performance, reliability, and security</li><li>Collaborate with front-end developers, product teams, and other stakeholders</li><li>Participate in code reviews, technical planning, and architecture discussions</li></ul><p><br></p>
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI</li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul>
<p>We are looking for an experienced Cloud Engineer/Administrator to support and enhance enterprise infrastructure for a client. This opportunity is ideal for a senior-level candidate who can manage a well-established Nutanix environment while helping shape cloud modernization efforts within a Microsoft-focused organization. The role combines hands-on platform administration, operational support, and strategic involvement in Azure-based transformation initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Administer and optimize a production Nutanix environment that supports essential business operations and high-availability infrastructure needs.</p><p>• Provide advanced support for complex infrastructure issues, serving as a senior escalation point for Tier 3 incidents across cloud and on-premises systems.</p><p>• Lead and support Azure administration activities, including planning and executing workload modernization and migration efforts where appropriate.</p><p>• Manage Microsoft 365 and identity services, including access control, authentication, and directory-related administration.</p><p>• Develop and maintain disaster recovery, backup, and resiliency practices to protect critical systems and data.</p><p>• Collaborate on enterprise infrastructure design, capacity planning, and performance improvements across hybrid environments.</p><p>• Support network and firewall coordination to ensure secure connectivity between platforms, users, and cloud services.</p><p>• Document system configurations, operational procedures, and technical recommendations to improve stability and support continuity.</p>
<p>We are looking for an experienced Server and Storage Engineer to support and enhance enterprise infrastructure operations for our Minneapolis client. This position focuses on maintaining reliable server, storage, virtualization, and backup environments while strengthening performance visibility across critical systems. The ideal candidate brings deep technical expertise, a proactive approach to problem-solving, and the ability to help modernize infrastructure with cloud-aligned technologies.</p><p><br></p><p>Responsibilities:</p><p>• Manage and optimize enterprise server and storage platforms to ensure high availability, resilience, and consistent performance across the environment.</p><p>• Administer NetApp storage solutions and VMware infrastructure, including configuration, capacity planning, maintenance, and operational support.</p><p>• Oversee backup and recovery processes for business-critical systems, validating data protection strategies and recovery readiness.</p><p>• Use monitoring and observability platforms such as Dynatrace, Datadog, or New Relic to identify issues, analyze trends, and improve system health.</p><p>• Support core Microsoft infrastructure, including Windows Server, Active Directory, Azure Active Directory, and Exchange services.</p><p>• Maintain and improve virtualized environments and related infrastructure components to meet security, performance, and scalability requirements.</p><p>• Collaborate with cross-functional technology teams on infrastructure improvements, cloud-related initiatives, and long-term platform strategy.</p><p>• Troubleshoot complex server, storage, and connectivity issues, driving timely resolution and minimizing operational disruption.</p>
<p>Our client is seeking a Cloud Infrastructure Engineer to manage and optimize cloud environments while supporting scalability, security, and operational excellence. This position will play a key role in cloud modernization initiatives and infrastructure automation.</p><p>Responsibilities</p><ul><li>Design, deploy, and support Azure and/or AWS cloud infrastructure.</li><li>Manage cloud networking, security groups, identity solutions, and storage resources.</li><li>Implement infrastructure-as-code and automation solutions.</li><li>Monitor cloud performance, availability, and security posture.</li><li>Support cloud migrations and modernization projects.</li><li>Collaborate with DevOps, security, and application teams.</li><li>Troubleshoot production cloud environments and resolve incidents.</li><li>Maintain disaster recovery and business continuity strategies.</li></ul><p><br></p>
We are looking for a Data Security Analyst to join a financial services organization in Minneapolis, Minnesota. In this role, you will help shape and uphold enterprise data governance practices, with a strong emphasis on identifying, classifying, and safeguarding unstructured information. This position combines strategic oversight with hands-on responsibility for the security technologies that support data protection and loss prevention efforts. You will work closely with security leadership and cross-functional stakeholders to strengthen compliance, reduce information risk, and improve data handling standards across the business.<br><br>Responsibilities:<br>• Lead the development and enforcement of data governance frameworks, standards, and controls that support secure information management across the organization.<br>• Oversee initiatives to discover, classify, and protect unstructured data, ensuring sensitive information is handled according to business and regulatory expectations.<br>• Administer and enhance data protection and data loss prevention solutions, including tools such as Varonis or comparable platforms.<br>• Partner with security, compliance, and business teams to assess information risk and implement practical safeguards that reduce exposure.<br>• Establish meaningful security and governance metrics, then monitor and report on performance to support ongoing improvement.<br>• Translate regulatory obligations into operational data security practices and help maintain alignment with applicable compliance requirements.<br>• Support the maintenance and optimization of security monitoring and related controls that contribute to broader enterprise data integrity and protection goals.<br>• Advise stakeholders on policy adherence, secure data usage, and governance best practices to strengthen the organization’s security posture.
<p>We are looking for a strategic data leader to shape and advance the enterprise approach to analytics, governance, and modern data platforms in Worcester, Massachusetts. This position will guide the development of scalable capabilities that support reporting, advanced analysis, and informed decision-making across the institution. The Director will work closely with senior leaders and campus partners to strengthen data operations, expand analytical maturity, and lead teams responsible for engineering and business intelligence.</p><p><br></p><p>Responsibilities:</p><p>• Create and lead a long-term data and analytics roadmap that supports institutional priorities and measurable business outcomes.</p><p>• Direct enterprise functions across data architecture, engineering, reporting, and analytics to deliver reliable and effective information services.</p><p>• Implement standards for data governance, quality, security, and master data practices to improve trust and consistency across systems.</p><p>• Oversee the design and growth of cloud-based data environments, including warehouses, lakes, and integration frameworks that scale with organizational needs.</p><p>• Collaborate with executive and operational stakeholders to deliver dashboards, performance reporting, and self-service tools that enable better decisions.</p><p>• Advance modernization efforts by identifying and applying opportunities in AI, machine learning, and other sophisticated analytics capabilities.</p><p>• Manage platform performance, vendor partnerships, budgeting, and resource allocation to ensure sustainable operations and delivery.</p><p>• Recruit, coach, and develop data engineering, analytics, and BI professionals while fostering a collaborative and high-performing team culture.</p><p>• Champion data literacy across the organization by encouraging evidence-based practices and broader adoption of analytical tools and insights.</p>
<p>We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul><p><br></p>
<p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building intelligent, production-ready applications that combine modern software engineering with advanced agent-based AI capabilities. The ideal candidate will lead solutions from early design through deployment, creating scalable services, responsive user experiences, and reliable AI-driven workflows that support business objectives.</p><p><br></p><p>Responsibilities:</p><p>• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.</p><p>• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.</p><p>• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.</p><p>• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.</p><p>• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.</p><p>• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.</p><p>• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.</p><p>• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.</p><p>• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.</p><p>• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.</p>