Senior AI Architect
New
P
PointClickCareHealthcare technology
Remote, USAFull-TimeSenior
Salary$183,000 - $229,000 a year; The US base salary range for this position is $183,000-$229,000 (not overtime eligible) + bonus + benefits.
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Job Details
- Experience
- 12+ years of software engineering and platform architecture experience ... including 5+ years focused on AI/ML infrastructure and GenAI solutions at scale
- Required Skills
- AzureGenerative AIDistributed Systems
Requirements
- Have 12+ years of software engineering and platform architecture experience.
- Have 5+ years focused on AI/ML infrastructure and GenAI solutions at scale.
- Bring deep cloud expertise; Azure is preferred.
- Demonstrate hands-on expertise with agentic systems, agent frameworks, multi-agent orchestration, MCP, tool use, RAG, vector databases, and production LLMOps.
- Have experience designing internal platforms used by other engineering teams, including developer experience, APIs and SDKs, and self-serve patterns.
- Have architectural breadth across cloud-native systems, distributed systems, data platforms, and security architecture.
- Produce high-quality architecture documents and decision records and communicate design trade-offs clearly to engineering and product audiences.
- Experience with Azure AI tools, including Azure OpenAI, AKS, and APIM, and the Databricks lakehouse is preferred.
- Experience in healthcare technology platforms or clinical workflows is preferred.
- Experience guiding engineering teams as a senior architect or technical lead in a platform organization is preferred.
- Knowledge of AI governance, responsible AI practices, and model risk management in regulated environments is preferred.
Responsibilities
- Design and evolve the AI Platform architecture, including its 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 roadmaps and translate upcoming AI capabilities into architectural requirements.
- Author architecture documents and decision records that help de-risk delivery.
- Codify reference architectures, reusable patterns, and paved-road templates for engineers building AI agents, MCP servers, and other AI solutions.
- Provide architectural guidance to teams using the platform.
- Establish standards for security, responsible AI, evaluation, and observability.
- Run architectural reviews to keep platform-based solutions consistent, compliant, and production-ready.
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