<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>
We are looking for an experienced Solutions /Information Architect to support complex technology initiatives in Poughkeepsie, New York. This Long-term Contract position will focus on shaping secure, scalable, and sustainable solution designs that support business priorities and align with enterprise architecture direction. The ideal candidate will work closely with technical teams and stakeholders to guide architecture decisions, define critical non-functional needs, and promote consistency across integrated systems.<br><br>Responsibilities:<br>• Create end-to-end architecture solutions that emphasize scalability, security, and alignment with established enterprise principles<br>• Collaborate with project teams to clarify scope, identify dependencies, and define non-functional expectations for performance, reliability, and supportability<br>• Provide architectural leadership for technology initiatives by ensuring effective integration across applications, platforms, and business domains<br>• Assess technology alternatives and recommend options that meet operational needs while considering cost, maintainability, and long-term value<br>• Build strong working relationships with enterprise architecture partners to keep proposed solutions aligned with strategic roadmaps and target-state design<br>• Present architecture concepts and recommendations to review committees to obtain feedback, drive refinement, and secure design approval<br>• Influence cross-functional teams through facilitation, consensus building, and technical guidance in environments without direct authority<br>• Act as a trusted advisor to business stakeholders, project teams, and IT leadership on architectural direction and solution decisions<br>• Contribute to the development and ongoing improvement of architecture standards, reference patterns, and governance practices<br>• Verify that proposed solutions adhere to organizational policies, regulatory obligations, and accepted industry standards
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.
<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 Legal is supporting a client on a large‑scale <strong>AI shepardizing and legal research initiative</strong>, and we are seeking detail‑oriented legal professionals to join the team. This project focuses on evaluating and validating AI‑generated legal authority relationships and primary law interpretations.</p><p><br></p><p>This is an excellent opportunity for individuals with strong research skills who enjoy structured, heads-down legal analysis and technology-driven workflows.</p><p><br></p><p><strong>Pay:</strong> <strong>$25/hour</strong></p><p><strong>Schedule:</strong> 40 hours per week; Monday-Friday; (Flexible to work between 8am-8pm EST)</p><p><strong>Duration:</strong> 6–9 months</p><p><strong>Start Date:</strong> <strong>July 2026</strong></p><p><strong> </strong></p><p><strong><u>Key Responsibilities</u></strong></p><ul><li>Conduct thorough primary law research, including <strong>case law and statutory analysis</strong></li><li>Review and confirm AI-generated legal authority relationships (e.g., <strong>overruling</strong>, <strong>compliance</strong>, <strong>regulatory changes</strong>)</li><li>Draft clear and concise written explanations summarizing findings</li><li>Work within structured processes to meet <strong>daily and weekly volume expectations</strong></li><li>Maintain exceptional accuracy and quality control while working independently</li><li>Utilize legal technology platforms and database-driven tools (AI experience is a plus)</li></ul><p><strong> </strong></p><p><strong><u>What We’re Looking For</u></strong></p><ul><li><strong>Strong primary law research experience</strong> (Lexis preferred but not required)</li><li>Experience identifying and interpreting <strong>legal authority signals</strong></li><li>Exceptional <strong>attention to detail</strong></li><li>Ability to follow a structured workflow and meet productivity targets</li><li>Clear and concise <strong>legal writing skills</strong></li><li>Comfort working with <strong>legal tech</strong> tools and research databases</li><li>Ability to work independently while maintaining consistent quality</li><li>Prior experience with AI-enhanced research tools is a plus (not required)</li></ul><p><br></p>