Senior AI Architect (US)

The Senior AI Architect is the senior technical leader for PointClickCare's AI Platform, owning the architecture that enables software engineers across the company to build AI agents, MCP servers, and AI solutions on a common foundation. This role is an enabler, not a product owner: its output is a platform other teams build on, and the patterns, standards, and guardrails that make those teams faster. The Senior AI Architect works closely with product counterparts to review product roadmaps and translate them into architectural designs and decision documents and guides the AI Engineering team in building a robust, scalable agentic platform for the future of PointClickCare.

Responsibilities

Design and evolve the architecture of PointClickCare's AI Platform, including the agentic runtime, MCP integration layer, model gateway, and evaluation and observability services; Guide the AI Engineering team through architectural decisions, design reviews, and hands-on technical mentorship; Partner with product counterparts to review product roadmaps, translate upcoming AI capabilities into architectural requirements, and author architecture documents and decision records; Enable software engineers across PointClickCare to build AI agents, MCP servers, and solutions by codifying reference architectures, reusable patterns, and paved-road templates, and by providing direct architectural guidance; Establish platform standards for security, responsible AI, evaluation, and observability, and run architectural review processes

Requirements

12+ years of software engineering and platform architecture experience with deep cloud expertise (Azure preferred); 5+ years focused on AI/ML infrastructure and GenAI solutions at scale; Hands-on expertise with agentic systems, including agent frameworks, multi-agent orchestration, MCP (Model Context Protocol), tool use, RAG, vector databases, and production LLMOps; Proven track record designing internal platforms that other engineering teams build on, including developer experience, APIs and SDKs, and self-serve patterns; Strong architectural breadth across cloud-native systems, distributed systems, data platforms, and security architecture; Demonstrated ability to produce high-quality architecture documents and decision records, and to communicate design trade-offs clearly to engineering and product audiences

Nice to have

Experience with the Azure AI stack (Azure OpenAI, AKS, APIM) and the Databricks lakehouse (Unity Catalog, model serving); Background in healthcare technology platforms or clinical workflows; Experience guiding engineering teams as a senior architect or technical lead within a platform organization; Expertise in advanced agentic patterns including multi-agent orchestration, tool and MCP server design, agent evaluation, and model fine-tuning pipelines; Deep knowledge of AI governance, responsible AI practices, and model risk management in regulated environments

Benefits

Benefits starting from Day 1; Retirement Plan Matching; Flexible Paid Time Off; Wellness Support Programs and Resources; Parental & Caregiver Leaves; Fertility & Adoption Support; Continuous Development Support Program; Employee Assistance Program; Allyship and Inclusion Communities; Employee Recognition