We are looking for a Software Engineer to join a team building and enhancing modern web applications in New York City, New York. This Long-term Contract opportunity is ideal for someone who enjoys developing reliable, scalable solutions across both front-end and back-end environments. The role focuses on creating high-quality software, collaborating with cross-functional partners, and contributing to continuous improvements throughout the development lifecycle.<br><br>Responsibilities:<br>• Design, build, and maintain software applications using C#, .NET, and ASP.NET technologies.<br>• Develop responsive user-facing features with JavaScript and React.js to deliver an intuitive application experience.<br>• Collaborate with product, engineering, and business stakeholders to translate requirements into effective technical solutions.<br>• Write clean, testable, and maintainable code while following established development standards and best practices.<br>• Troubleshoot application issues, identify root causes, and implement timely fixes to support stable system performance.<br>• Participate in code reviews and contribute ideas that improve application quality, usability, and long-term maintainability.<br>• Support enhancements, updates, and technical changes as part of ongoing application development efforts.<br>• Document technical designs, implementation details, and development updates to support team knowledge sharing.
We are looking for a Solutions Architect to join a Marketing/PR organization in New York, New York on a contract basis with the potential to become permanent. In this role, you will partner with clients and internal teams to shape effective technical solutions, guide implementation planning, and create a strong onboarding experience from the start. This position is ideal for someone who combines architectural insight with client-facing communication and can translate business needs into practical, scalable approaches.<br><br>Responsibilities:<br>• Guide client onboarding engagements and service initiatives, ensuring projects begin with clear direction and strong execution.<br>• Develop and refine onboarding workflows, documentation, and supporting materials to improve delivery efficiency and elevate the customer experience.<br>• Partner with customer success, product, and engineering teams to define how solutions align with each client’s existing technology environment.<br>• Manage technical workstreams across client-facing and internal initiatives, keeping deliverables organized, accurate, and aligned with quality expectations.<br>• Capture business and technical requirements with precision, documenting scope, architecture decisions, and integration strategies for successful delivery.<br>• Represent customer use cases and implementation feedback to product teams to help inform future platform enhancements.<br>• Coordinate with cross-functional stakeholders to maintain alignment throughout the engagement lifecycle and support a consistent client experience.<br>• Drive strong time-to-value by overseeing solution design and project outcomes that meet high technical standards.
We are looking for a Software Engineer / Data Engineer to build and enhance internal platforms that support research, analytics, and investment workflows in New York, New York. This role combines product-minded software development with data engineering, giving you the opportunity to create scalable applications, shape technical architecture, and improve how teams access and use information. You will work closely with analysts and data specialists to turn complex needs into reliable tools that streamline decision-making and expand internal AI capabilities.<br><br>Responsibilities:<br>• Create and support internal applications, including dashboards, research platforms, and workflow solutions that improve day-to-day productivity across the firm.<br>• Develop and maintain AI-enabled internal systems such as application services, knowledge retrieval capabilities, agent-based tools, and monitoring frameworks for performance and quality.<br>• Collaborate with investment professionals and data science teams to convert research processes into stable, user-focused software products.<br>• Define technical direction for new systems, selecting appropriate architecture and establishing engineering standards that can scale with future development.<br>• Build backend services and data pipelines using Python, PySpark, and Databricks to support analytics, automation, and application functionality.<br>• Contribute to frontend experiences for internal users with modern web technologies such as Next.js, React, and interactive visualization tools.<br>• Design solutions that connect APIs, user interfaces, data storage, and cloud infrastructure into cohesive, maintainable platforms.
<p><strong>Overview</strong></p><p>We’re partnering with a team building modern, AI-driven applications across a layered architecture. They need a full stack engineer who can move comfortably between front-end, services, and emerging AI integrations. The environment leans toward newer technologies, so adaptability matters more than strict stack alignment.</p><p><br></p><p><strong>What You’ll Work On</strong></p><ul><li>Build and maintain front-end applications using <strong>Angular and TypeScript</strong></li><li>Develop scalable APIs and business logic within a <strong>.NET Core / C# service layer</strong></li><li>Contribute to <strong>modern Java-based microservices</strong> (no legacy stack)</li><li>Support and integrate <strong>AI-driven features built in Python</strong>, including LLM-powered workflows</li><li>Design and implement <strong>data flows for RAG (Retrieval-Augmented Generation)</strong> use cases</li><li>Collaborate across product and engineering teams to evolve architecture and delivery</li></ul><p><strong>Core Tech Environment</strong></p><ul><li><strong>Frontend:</strong> Angular, TypeScript</li><li><strong>Backend:</strong> .NET Core (C#), Java (modern services)</li><li><strong>AI Layer:</strong> Python, LLM integrations, Google ADK (Agent Development Kit)</li><li><strong>Architecture:</strong> Full stack, microservices, API-driven</li></ul>
We are looking for a highly experienced Data/Information Architect to lead the design and implementation of enterprise-wide data architecture solutions. This long-term contract position offers the opportunity to shape scalable, efficient, and high-performance data systems that align with organizational goals. The ideal candidate will have a strong background in data modeling, governance frameworks, and modern lakehouse architectures, working collaboratively with both technical teams and business stakeholders to deliver actionable insights.<br><br>Responsibilities:<br>• Develop and maintain enterprise data models that support analytics, reporting, and operational needs.<br>• Implement best practices for data modeling in a lakehouse architecture, ensuring scalability and alignment with business requirements.<br>• Architect data structures using methodologies such as Star Schema, Snowflake Schema, and Data Vault for optimal performance.<br>• Collaborate with stakeholders to gather data requirements and ensure business objectives are met.<br>• Work alongside Data Engineers to create physical data models optimized for Microsoft Fabric and Delta Lake environments.<br>• Establish governance processes, including metadata management, data lineage, and quality assurance protocols.<br>• Define and manage canonical data models across key business domains to ensure consistency.<br>• Document and enforce data modeling standards to drive adoption across engineering teams.<br>• Assess and enhance existing data models, identifying areas for improvement in performance and alignment.<br>• Provide strategic guidance on data management tools and technologies to support organizational goals.
<p>We are looking for a skilled Software Development Project Manager to lead and oversee projects within the Dynamics 365 platform. The ideal candidate will combine technical expertise with strong leadership skills to drive successful project outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement customizations, extensions, and integrations within the Dynamics 365 platform to meet specific project needs.</p><p>• Utilize tools such as X++, C#, JavaScript, Power Platform, Logic Apps, and Azure Functions to create scalable and efficient solutions.</p><p>• Conduct code reviews to ensure adherence to best practices, security standards, and performance requirements.</p><p>• Collaborate with distributed teams, including onshore and offshore resources, to ensure timely and effective delivery of technical tasks.</p><p>• Work closely with functional consultants to translate business requirements into actionable technical specifications.</p><p>• Develop and configure integrations between Dynamics 365 and external systems using APIs and Azure services.</p><p>• Customize Dynamics 365 modules to align with unique business processes and requirements.</p><p>• Troubleshoot and resolve technical challenges, offering guidance to team members on complex issues.</p><p>• Identify opportunities for process improvement and contribute to the optimization of existing codebases.</p><p>• Stay up-to-date with the latest Dynamics 365 updates and innovations, incorporating them into development efforts</p>
<p>FULLY ONSITE REQUIRED- 5 DAYS IN OFFICE- BROOKLYN</p><p><br></p><p><strong>Top Required Skills</strong></p><ol><li>Virtualization, server infrastructure, and enterprise storage systems (VMware, Hyper-V, Azure, Windows Server)</li><li>Automation, monitoring, scripting, and RMM platforms (NinjaOne and similar MSP tools)</li><li>Network architecture and security including routing, switching, VLANs, VPNs, firewalls, and wireless infrastructure</li></ol><p><br></p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>- Design, deploy, and support virtualization, server, storage, networking, and cloud infrastructure</p><p>- Configure and optimize enterprise storage, replication, backup, and disaster recovery solutions</p><p>- Implement, maintain, and improve automation, monitoring, and RMM platforms including NinjaOne</p><p>- Manage and support hybrid cloud environments integrating on-premises infrastructure with Azure, AWS, and Microsoft 365 services</p><p>- Troubleshoot and resolve complex infrastructure, networking, virtualization, cloud, and performance issues</p><p>- Configure and support routing, switching, VLANs, VPNs, firewalls, and wireless networking solutions</p><p><br></p><p><strong>Required Skills:</strong></p><p>- Strong experience designing and supporting virtualization platforms, enterprise storage systems, and high-availability infrastructure</p><p>- Strong experience supporting cloud platforms including Microsoft Azure, Amazon Web Services (AWS), and Microsoft 365 environments</p><p>- Strong understanding of network architecture, switching, routing, VLANs, VPNs, firewalls, wireless infrastructure, and WAN connectivity across enterprise networking platforms including Cisco, Ubiquiti, Peplink, and similar technologies</p><p>- Experience with automation, monitoring, scripting, and RMM platforms such as NinjaOne and other MSP-focused tools</p><p>- Strong troubleshooting and problem-solving skills across servers, storage, networking, and cloud environments</p><p> </p><p><strong>Preferred Experience:</strong></p><p>- Familiarity with high-availability, replication, and business continuity strategies</p><p>- Experience working in MSP or multi-client environments</p><p>- Experience supporting both cloud and on-premises infrastructure</p>
We are looking for a Cyber Security Engineer to strengthen and oversee the organization’s security posture in New York. This role is suited to an experienced, detail-oriented individual who can assess risk, guide security practices, and protect systems across a mixed technology environment. The ideal candidate brings strong judgment, technical depth, and the ability to communicate clearly with stakeholders while handling sensitive matters with discretion.<br><br>Responsibilities:<br>• Lead day-to-day security efforts by identifying vulnerabilities, analyzing threats, and coordinating timely remediation activities across systems and networks.<br>• Evaluate the security of Windows and macOS environments, including patch management practices, endpoint protections, and configuration standards.<br>• Monitor network activity and security controls such as firewalls and related tools to help prevent unauthorized access and reduce operational risk.<br>• Investigate potential incidents, determine the scope of exposure, and drive response actions to contain and resolve security issues effectively.<br>• Review third-party security documentation, including SOC 2 reports, to support vendor risk assessments during contracting and procurement processes.<br>• Help develop, maintain, and reinforce information security policies, standards, and procedures in alignment with regulatory and organizational requirements.<br>• Partner with IT teams, leadership, and internal users to communicate security recommendations, report findings, and support informed decision-making.<br>• Contribute technical and analytical expertise to strengthen monitoring capabilities, improve risk visibility, and support ongoing security program maturity.
<p>This role sits at the intersection of AI engineering, data scientist, developer enablement, and customer engagement. You will partner with Product, Engineering, Applied Science, and AI Platform teams to support implementation decisions, accelerate AI adoption, and help teams adopt reusable AI engineering patterns and implementation best practices.</p><p>This is a deeply hands-on role focused on building, prototyping, and iterating on AI-powered experiences. The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM applications, agent systems, and AI-native workflows in production environments.</p><p><br></p><p><strong>What you’ll do</strong></p><p><strong>Start with customers</strong></p><p>• Spend real time with lawyers, legal operations teams, and our internal subject-matter experts — in their offices, on their calls, watching their workflows. Develop a strong understanding of customer workflows and operational challenges through direct engagement.</p><p>• Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against.</p><p>• Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences based on customer feedback and observed user needs.</p><p>• Bring the customer voice back into our roadmaps, our model choices, and our trade-offs.</p><p>• Occasional travel to customer sites may be required to better understand workflows and gather product feedback.</p><p><br></p><p><strong>Build AI-powered applications and workflows</strong></p><ul><li>Contribute to AI-powered applications and workflows for legal and business use cases, including leveraging existing RAG pipelines, research assistants, and related AI capabilities developed by ML engineering teams.</li><li>Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns in collaboration with machine learning engineering teams.</li><li>Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services.</li><li>Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities.</li><li>Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments.</li></ul><p><strong>Contribute to AI Engineering Enablement</strong></p><ul><li>Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows, in collaboration with AI/ML engineering teams.</li><li>Promote reusable AI/ML engineering standards, tooling, and best practices that reduce friction for teams adopting AI and machine learning technologies, while aligning with recommendations from data science and AI platform teams.</li><li>Help software engineers expand their capabilities in ML-oriented development for applicable use cases without requiring deep data science specialization.</li><li><br></li></ul>
<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>We are looking for an Architectural Project Manager to guide projects from early design through construction completion in Brooklyn, New York. This position combines day-to-day project leadership with technical production, ensuring drawings, coordination efforts, and client deliverables remain accurate and aligned with project goals. The role works closely with consultants, internal team members, and senior leadership to keep schedules on track, uphold design quality, and support strong client relationships.</p><p><br></p><p>Responsibilities:</p><p>• Direct architectural assignments through design development, documentation, and construction phase services while maintaining progress against scope, schedule, and quality expectations.</p><p>• Partner with engineering and specialty consultants to integrate structural, lighting, acoustical, expediting, and other technical requirements into coordinated project documents.</p><p>• Examine drawing packages for consistency, technical accuracy, and compliance with applicable codes, zoning regulations, and jurisdictional standards.</p><p>• Prepare and manage core project records such as RFIs, submittals, meeting summaries, action items, and milestone schedules to support smooth project execution.</p><p>• Facilitate design and review workflows to ensure project decisions remain consistent with the established vision, client priorities, and regulatory requirements.</p><p>• Contribute hands-on production work in Revit and related drafting tools while also overseeing team coordination and deliverable development.</p><p>• Provide guidance to entry-level team members by reviewing work, sharing technical knowledge, and encouraging strong project management practices.</p><p>• Collaborate with senior leaders and clients to resolve project issues, communicate status updates, and help maintain positive working relationships throughout delivery.</p><p><br></p><p>If this person is you, please apply to victoria.iacoviello@roberthalf</p>
We are looking for a Data Modeler to support a healthcare organization in Morristown, New Jersey through a contract opportunity with the potential for a permanent role. In this role, you will shape enterprise data structures that enable reliable integration, analytics, and reporting across complex data environments. This position is ideal for someone who can translate business needs into scalable models while partnering closely with engineering, architecture, and analytics teams.<br><br>Responsibilities:<br>• Create and refine conceptual, logical, and physical data structures for relational databases, dimensional warehouses, and NoSQL platforms.<br>• Produce and update entity relationship diagrams, data movement documentation, and related artifacts that align with enterprise data practices.<br>• Work alongside data engineers and solution architects to ensure models support efficient data ingestion, transformation, and downstream reporting needs.<br>• Convert business objectives and functional use cases into well-structured database designs that promote performance, flexibility, and long-term growth.<br>• Lead model evaluations, uphold data modeling standards, and offer mentorship and technical direction to less experienced team members.<br>• Maintain data dictionaries, metadata records, and lineage documentation to improve transparency and usability across the data estate.<br>• Partner with analytics and reporting stakeholders to develop star and snowflake schema designs for warehouse and data mart solutions.<br>• Address data integrity concerns, duplication risks, and quality issues by applying disciplined modeling techniques and sound design principles.<br>• Contribute to governance efforts by supporting data standardization and cataloging activities across the organization.<br>• Participate in Agile delivery cycles, providing modeling deliverables and documentation in iterative sprint-based workstreams.
We are looking for an experienced Senior Data Engineer to strengthen our data ecosystem in Greenwich, Connecticut. This role will drive the development of reliable, scalable data pipelines, reporting capabilities, and platform enhancements that support critical business operations. The ideal candidate brings deep expertise in Microsoft-based data environments, strong SQL and ETL skills, and a practical approach to solving complex integration challenges.<br><br>Responsibilities:<br>• Build, enhance, and tune data pipelines, integration workflows, and core data platforms to support scalable and dependable information delivery.<br>• Translate business needs into technical solutions by partnering with internal teams and external vendors on data integration, reporting, and analytics initiatives.<br>• Create and implement automated processes that reduce manual effort, improve accuracy, and increase operational efficiency across data-related functions.<br>• Oversee production data jobs, investigate failures, resolve high-priority issues, and participate in after-hours support when needed.<br>• Produce technical design documents, process specifications, and operational documentation to promote consistency, maintainability, and knowledge sharing.<br>• Develop and deploy reporting and dashboard solutions that improve visibility into business performance while maintaining appropriate access controls and data security.<br>• Lead the ongoing improvement of database and integration performance, with attention to scalability, reliability, and long-term platform stability.<br>• Contribute to cloud-oriented data engineering efforts, including support for modernization initiatives involving services such as Azure-based platforms.<br>• Support application and data connectivity by implementing and maintaining API-based integrations where required.