Senior AI Architect (AI)

Location: Remote, USA. Remote roles require travel to in-office events in Mississauga and/or Salt Lake City for onboarding, team events, and semi-annual or annual meetings.

Salary: USD 183,000–229,000 per year.

Company

hirify.global is a founder-led health technology company providing a cloud platform for more than 30,000 provider organizations, supported by a large long-term and post-acute care dataset and an ecosystem of 400+ integrated partners.

What you will do

• Design and evolve the AI Platform, including the agentic runtime, MCP integration layer, model gateway, evaluation, and observability services.
• Guide architectural decisions, design reviews, technical mentorship, and platform engineering practices.
• Partner with product counterparts to translate roadmaps into architectural requirements, designs, and decision records.
• Enable software engineers to build AI agents, MCP servers, and GenAI solutions through reference architectures, reusable patterns, paved-road templates, APIs, and SDKs.
• Establish standards for security, responsible AI, evaluation, observability, and production readiness.

Requirements

• 12+ years of software engineering and platform architecture experience, including 5+ years focused on AI/ML infrastructure and GenAI solutions at scale.
• Deep cloud expertise, with Azure preferred.
• Hands-on expertise with agentic systems, agent frameworks, multi-agent orchestration, MCP, tool use, RAG, vector databases, and production LLMOps.
• Experience designing internal platforms used by other engineering teams, including developer experience, APIs, SDKs, and self-service 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 and clearly communicate design trade-offs to engineering and product audiences.

Nice to have

• Experience with Azure OpenAI, AKS, APIM, and the Databricks lakehouse, including Unity Catalog and 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, tool and MCP server design, agent evaluation, and model fine-tuning pipelines.
• Knowledge of AI governance, responsible AI practices, and model risk management in regulated environments.

Culture & Benefits

• Benefits start from Day 1, including retirement plan matching, flexible paid time off, wellness support, parental and caregiver leave, and fertility and adoption support.
• Continuous development support, employee assistance resources, allyship and inclusion communities, and employee recognition.
• AI tools are used in hiring, screening, assessment, and daily workflows.
• Equal employment opportunity and accommodations are available throughout the selection process.