Job Title: Principal AI Platform Architect

Company Name: Cyclotron

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/196lam8lmgqvj59p

Job Description: Posted 2w agoPrincipal AI Platform Architect@ CyclotronView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:defining architecture, building orchestration, leading offshoreRequirements Summary:7+ years software engineering; experience with LLM-based AI; agent orchestration; Azure cloud; GitHub Enterprise; leadership experience.Technical Tools Mentioned:Vercel AI SDK, LangChain, LangGraph, OpenAI Agents SDK, Azure, GitHub Enterprise, CortexMemory, mem0.ai
We are hiring a senior, hands-on engineer to partner directly with the Head of Products in architecting and building a new multi-agent orchestration and communication platform from the ground up. In the early phase, this person will act as a high-trust technical counterpart focused on architecture, core implementation, and platform design. As the product matures, they will become the application owner and help lead a growing offshore team supporting ongoing development. What you'll own • A production-grade orchestration layer for coordinating multiple specialized agents, tools, and workflows. • A modern agent-facing UI built around the Vercel AI / Agent SDK ecosystem. • Persistent and contextual memory using a memory SDK. • Support for multimodal inputs, including text, files, and other rich inputs. • A Microsoft Teams integration for agent-driven communication and workflow execution. • A set of purpose-built agents, beginning with a Statement of Work generation agent and a Dynamics 365 intelligence / integration agent. • Architectural decisions around where capabilities should live: as orchestrated tools, as specialist agents, or as standalone platform services.  Core responsibilities • Partner directly with the Head of Products to define the platform architecture, implementation strategy, and long-term technical direction. • Architect and build a reliable multi-agent orchestration framework for coordinating specialized agents, tool calls, memory systems, and enterprise integrations. • Design clear communication patterns between orchestrator, agents, tools, memory providers, and external systems. • Build the initial platform capabilities, including agent UI, memory integration, multimodal workflows, and enterprise communication channels. • Create a Statement of Work generation capability that can produce structured Word documents from templates, business rules, and configurable user inputs. • Design a templating and administration model that allows non-technical users to customize output structure and business logic without engineering support. • Design a Dynamics 365 agent or integration layer capable of extracting, interpreting, and operationalizing complex CRM context more effectively than conventional copilots. • Establish strong patterns around observability, tracing, evaluation, retries, fallbacks, safety, and reliability for AI-native systems. • Serve as the long-term application owner as the platform grows, ensuring architectural consistency, engineering quality, and delivery discipline. • Provide technical leadership for future supporting engineers, including an offshore development team, through architecture guidance, code reviews, work decomposition, and mentoring.  Required qualifications • 7+ years of software engineering experience building production systems. • Deep experience delivering LLM-based systems or AI-enabled products in production, not just prototypes or demos. • Strong understanding of agent orchestration, including multi-agent coordination, routing, tool use, memory, workflow state, and human-in-the-loop patterns. • Experience with one or more agent ecosystems such as Vercel AI SDK, LangChain, LangGraph, OpenAI Agents SDK, or similar frameworks. • Strong understanding of MCP-style integration patterns, tool contracts, and external-system interoperability. • Experience with vector databases, embeddings, retrieval pipelines, and semantic memory strategies. • Strong experience designing and operating cloud-native services on Azure. • Solid software engineering fundamentals across architecture, debugging, reliability, and scaling. • Experience working in GitHub Enterprise environments. • Prior experience acting as a technical lead, system owner, staff engineer, or principal engineer on a meaningful product or platform.  Preferred qualifications • Experience with graph-based orchestration and graph databases. • Experience with Convex or other real-time application backends. • Experience with mem0.ai, cortexmemory.dev, or similar memory-layer tooling. • Experience integrating AI systems into Microsoft Teams. • Experience with Dynamics 365 / CRM data models, APIs, and workflow patterns. • Experience generating structured business artifacts such as proposals, statements of work, reports, or Word documents. • Experience building configurable template systems for non-technical business users. • Experience with multimodal pipelines involving text, documents, images, and file understanding. • Experience leading distributed and/or offshore teams.