Remote Enterprise AI Architect

Overview

Orrick currently has an excellent opportunity for an AI Architect. This position could be based in any of our U.S. offices and consideration given for 100% remote US locations.

The AI Architect is responsible for the engineering of AI solutions (including their scaling and operationalization) through the use of appropriate methodologies, frameworks, tools, and platforms. This role ensures the re-use, integration, performance, quality, and manageability of these solutions through coordination with other technology architects, data architects and enterprise architects.

• Designs end-to-end AI products to address specific business needs and provides implementation guidance upon delivery
• Provides expertise in creating and implementing enterprise architecture solutions that enhance AI capabilities
• Navigates the technical complexity required to meet business requirements (e.g., by developing scenarios or positions on how AI platform, framework or tool capabilities are selected and complement one another)
• Architects AI platforms and guides decision making for choosing the right framework, governance and operational processes to ensure safety and security at scale
• Ensures seamless integration of AI solutions from development to business operations within the organization's enterprise architecture framework
• Participates in evaluation of AI vendors, platforms, and third-party services, including assessment of architecture fit, security posture, integration requirements, scalability, and governance alignment
• Partners with Legal, IT, Innovation, HR, Risk, and business stakeholders to assess, document, and mitigate risks associated with AI solution design, deployment, and adoption
• Streamlines collaboration by coordinating the efforts of cross-functional participants to identify and prioritize requirements

• A master's or Ph.D. in computer engineering, computer science, software engineering, artificial intelligence, mathematics or related field in the natural science
• A minimum of five years of proven experience in AI/ML development and application, with at least two years focused on designing enterprise-scale AI architecture and system integration
• A minimum of five years of experience developing tools or platforms in a software engineering role
• Proven experience working with language models while designing for cost efficiency and scalability

AI Architecture & Platforms

• Skilled in selecting and architecting AI frameworks (e.g., Tensor Flow, PyTorch, Lang Chain, Hugging Face), cloud platforms (Azure, AWS, GCP), and orchestration tools (Docker, Kubernetes) for scalable enterprise AI solutions
• Experience designing agentic AI solutions, including AI agent orchestration, tool integration, workflow automation, memory/context management, and secure access to enterprise systems
• Experience with Model Context Protocol (MCP) or similar frameworks for integrating AI agents with enterprise systems and data sources

AI Operations, Governance & Security

• Familiarity with Model Ops, AI engineering practices, Dev Ops and MLOps (e.g., CI/CD pipelines)
• Experience defining monitoring, evaluation, and optimization strategies for AI systems, including performance, reliability, cost efficiency, model quality, and user feedback loops
• Experience architecting and implementing generative AI solutions utilizing Azure AI Foundry, large language models (LLMs), NLP, vector databases, knowledge graphs, retrieval-augmented generation (RAG), and agentic AI architectures

Enterprise Integration & Quality

• Advanced understanding of system integrations architecture
• Ability to apply AI application testing techniques (e.g., pairwise testing, A/B testing, back-to-back testing) across operating system platforms
• Experience architecting AI systems that comply with legal data boundaries, ensuring zero data leakage, rigorous access controls, and absolute isolation of client data

Communication & Leadership

• Excellent written and verbal communication skills; ability to communicate complex AI concepts to non-technical audiences
• Strong documentation skills with the ability to produce diagrams, demos and technical artifacts that make AI architectures comprehensible and actionable
• Industry-recognized certifications in artificial intelligence, machine learning, generative AI, cloud-based AI platforms, or related technologies preferred

Who is Orrick? Orrick is a global law firm focused on delivering innovative solutions for four sectors:
Technology & Innovation, Energy &…