Senior AI Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and enhance PointClickCare’s AI Platform, which encompasses the agentic runtime, MCP integration layer, model gateway, and evaluation and observability services.

• Lead the AI Engineering team in architectural decisions, design reviews, and provide hands-on technical mentorship.

• Collaborate with product teams to analyze product roadmaps and convert forthcoming AI capabilities into architectural requirements.

• Create architecture documents and decision records that mitigate delivery risks.

• Empower software engineers to develop AI agents, MCP servers, and AI solutions on the platform.

• Document reference architectures, reusable patterns, and paved-road templates.

• Offer direct architectural advice to teams utilizing the platform.

• Set platform standards for security, responsible AI, evaluation, and observability.

• Conduct architectural review processes to ensure platform solutions remain consistent, compliant, and ready for production.

⛳️ Requirements

• Over 12 years of experience in software engineering and platform architecture.

• Extensive cloud expertise, preferably with Azure.

• More than 5 years of experience focused on AI/ML infrastructure and GenAI solutions at scale.

• Practical knowledge of agentic systems, agent frameworks, multi-agent orchestration, MCP, tool utilization, RAG, vector databases, and production LLMOps.

• Demonstrated experience in designing internal platforms utilized by other engineering teams.

• Familiarity with developer experience, APIs and SDKs, and self-service patterns.

• Strong architectural knowledge across cloud-native systems, distributed systems, data platforms, and security architecture.

• Capability to produce high-quality architecture documents and decision records.

• Proficient in communicating design trade-offs effectively to engineering and product stakeholders.

• Experience with the Azure AI stack and Databricks lakehouse.

• Background in healthcare technology platforms or clinical workflows.

• Experience in 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.

• Comprehensive understanding of AI governance, responsible AI practices, and model risk management in regulated environments.

🏝️ Benefits

• Benefits commencing 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.

• Bonus.

• In-office events such as onboarding, team gatherings, and semi-annual and annual team meetings.