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.