Senior AI Architect

PointClickCare

. Design and evolve PointClickCare’s AI Platform, including the agentic runtime, MCP integration layer, model gateway, and evaluation and observability services .

Posted 11/3/2026full-timeRemote • United StatesSenior💰 $183,000 - $229,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software engineering and platform architecture, with a strong focus on AI/ML infrastructure and GenAI solutions. Capable of guiding engineering teams through architectural decisions while ensuring compliance and security standards are met.

Highest-signal resume keywords

AI/ML Infrastructure ExpertiseCloud Architecture (Azure Preferred)Architectural Documentation SkillsMulti-Agent OrchestrationHealthcare Technology Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringPlatform ArchitectureAI GovernanceModel Risk ManagementAgent FrameworksMCP IntegrationProduction LLMOpsAPIs and SDKsCloud-Native SystemsData Platforms

Soft Skills

Technical MentorshipCommunication of Design Trade-Offs

Tools & Technologies

Azure AI StackDatabricks LakehouseAgentic SystemsVector Databases

Industry Keywords

Healthcare Technology PlatformsClinical WorkflowsResponsible AI Practices

Tech Stack

Tools & technologies

AzureCloudDistributed Systems

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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