Senior AI Architect
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Job Description
Senior AI Architect designing PointClickCare’s scalable AI platform for healthcare providers. Enabling engineering teams to build agents, MCP servers, and GenAI solutions.
Responsibilities:
- Design and evolve 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 and translate upcoming AI capabilities into architectural requirements
- Author architecture documents and decision records that de-risk delivery
- Enable software engineers to build AI agents, MCP servers, and AI solutions on the platform
- Codify reference architectures, reusable patterns, and paved-road templates
- Provide direct architectural guidance to consuming teams
- Establish platform standards for security, responsible AI, evaluation, and observability
- Run architectural review processes to keep platform solutions consistent, compliant, and production-ready
Requirements:
- 12+ years of software engineering and platform architecture experience
- Deep cloud expertise, with Azure preferred
- 5+ years focused on AI/ML infrastructure and GenAI solutions at scale
- Hands-on expertise with agentic systems, agent frameworks, multi-agent orchestration, MCP, tool use, RAG, vector databases, and production LLMOps
- Proven experience designing internal platforms used by other engineering teams
- Experience with developer experience, APIs and SDKs, and self-serve patterns
- Strong architectural breadth across cloud-native systems, distributed systems, data platforms, and security architecture
- Ability to produce high-quality architecture documents and decision records
- Ability to communicate design trade-offs clearly to engineering and product audiences
- Experience with the Azure AI stack and Databricks lakehouse
- 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
- Bonus
- In-office events including onboarding, team events, and semi-annual and annual team meetings
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