Principal AI Platform Architect

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.

Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.