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4 results for Ai Architect in Queens, NY

AI Engineer

New York, NY
onsite
Temporary to Hire
71 - 80 USD / Hourly
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.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. What you’ll doStart with customers• 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.• Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against.• 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.• Bring the customer voice back into our roadmaps, our model choices, and our trade-offs.• Occasional travel to customer sites may be required to better understand workflows and gather product feedback. Build AI-powered applications and workflows<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>Contribute to AI Engineering Enablement<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> </li></ul>
2026-06-10T00:00:00Z

Solutions Architect

New York, NY
remote
Temporary to Hire
57 - 66 USD / Hourly
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. Responsibilities: • Guide client onboarding engagements and service initiatives, ensuring projects begin with clear direction and strong execution. • Develop and refine onboarding workflows, documentation, and supporting materials to improve delivery efficiency and elevate the customer experience. • Partner with customer success, product, and engineering teams to define how solutions align with each client’s existing technology environment. • Manage technical workstreams across client-facing and internal initiatives, keeping deliverables organized, accurate, and aligned with quality expectations. • Capture business and technical requirements with precision, documenting scope, architecture decisions, and integration strategies for successful delivery. • Represent customer use cases and implementation feedback to product teams to help inform future platform enhancements. • Coordinate with cross-functional stakeholders to maintain alignment throughout the engagement lifecycle and support a consistent client experience. • Drive strong time-to-value by overseeing solution design and project outcomes that meet high technical standards.
2026-06-12T00:00:00Z

Data/Information Architect

New York, NY
onsite
Temporary / Contract
66.5 - 77 USD / Hourly
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. Responsibilities: • Develop and maintain enterprise data models that support analytics, reporting, and operational needs. • Implement best practices for data modeling in a lakehouse architecture, ensuring scalability and alignment with business requirements. • Architect data structures using methodologies such as Star Schema, Snowflake Schema, and Data Vault for optimal performance. • Collaborate with stakeholders to gather data requirements and ensure business objectives are met. • Work alongside Data Engineers to create physical data models optimized for Microsoft Fabric and Delta Lake environments. • Establish governance processes, including metadata management, data lineage, and quality assurance protocols. • Define and manage canonical data models across key business domains to ensure consistency. • Document and enforce data modeling standards to drive adoption across engineering teams. • Assess and enhance existing data models, identifying areas for improvement in performance and alignment. • Provide strategic guidance on data management tools and technologies to support organizational goals.
2026-06-22T00:00:00Z

Artificial Intelligence (AI) Engineer

Monroe, NY
onsite
Permanent / Full Time
150000 - 225000 USD / Yearly
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. Key Responsibilities: <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>
2026-06-16T00:00:00Z