AI Architect

Responsibilities

The following outlines the essential functions necessary for this role. It is intended as a guide and not an exhaustive list of all duties or responsibilities that may be assigned.

• Spearhead the design and implementation of transformative AI initiatives leveraging large language models (LLMs), Generative AI, and Machine Learning to enhance and modernize core business operations.
• Architect and deploy secure, scalable, cloud-native infrastructure and automation pipelines across clinical and administrative domains (e.g., Azure, Google Cloud).
• Design and implement Agentic Workflows and multi‑agent orchestration systems to automate critical business processes.

• Develop and deploy Voice AI agents and LLM/RAG conversational systems to streamline employee interactions and internal/external communications (e.g., OpenAI, Gemini, Vapi, Twilio).
• Integrate AI capabilities into enterprise communication platforms (e.g., Google Workspace) to enable natural‑language interfaces for non‑technical teams.

• Establish robust data analysis and quality‑assurance agents to ensure the integrity of clinical and operational data (e.g., LLM‑as‑a‑Judge, IAA).
• Develop and manage comprehensive AI benchmarking, monitoring, and testing frameworks to ensure performance, reliability, and compliance (including HIPAA).

• Collaborate with clinical, compliance, and administrative leaders to ensure AI solutions drive measurable outcomes such as reduced intake time, improved operational efficiency, and increased utilization of clinical staff.

• Adhere to all organizational policies, procedures, and applicable federal and state regulations.
• Maintain responsibility for promptly reporting any violations of company policies or ethical guidelines.

• Bachelor's degree in Information Technology, Computer Science, or related discipline.
• Proven ability to design technology solutions that comply with strict regulatory standards, especially HIPAA, in healthcare technology environments.
• Experience with workflow automation platforms (e.g., Workato, Make, n8n) and integration across operational toolsets such as Google Workspace.
• Working knowledge of laptops/desktops and common IT troubleshooting.
• Proficiency with Microsoft Office Suite (Word, Excel) and G Suite (Gmail, Drive, Docs, Sheets, Google Meet).
• Deep technical proficiency in AI/ML model deployment, including LLMs and RAG architectures.
• Extensive experience with cloud infrastructure (Azure, Google Cloud, AWS) and cloud‑native service implementations.
• Hands‑on experience with AI/ML platforms and APIs including OpenAI API, Gemini, and custom model development.
• Proficiency in Python and C# for enterprise application development, automation, and AI pipelines.
• Demonstrated experience in event‑driven architecture, REST APIs, message buses, and database technologies (Cosmos DB, SQL).
• Ability to follow written instructions and work effectively with computer systems and software.
• Strong expressive and receptive communication skills.
• 8+ years building production‑grade software.
• 5+ years working with Machine Learning models.
• 5+ years working with cloud infrastructure and cloud‑native AI/ML applications.
• 2+ years in LLM/Agentic/RAG systems, including multi‑agent orchestration frameworks (Semantic Kernel, Lang Graph) and tool‑calling.
• Deep Azure expertise, including:
  • AKS
  • Azure API Management
  • Event Hubs / Service Bus
  • Cosmos DB / Azure SQL / Postgres
  • Azure AI Search (vector/hybrid)
  • Key Vault
  • Monitor / Open Telemetry
• Strong experience with Python (primary) and C# (interop/services).
• Proven knowledge of MCP (Model Context Protocol), function/tool‑calling architectures, secure connector development, and permissioning.
• Hands‑on experience with production‑grade RAG systems (chunking strategies, rerankers, retrieval evaluation), prompt/context engineering, memory strategy, and AI evaluations (offline/online).
• Demonstrated expertise in designing event‑driven systems, REST APIs, messaging architectures, and data‑layer integrations.
• Experience with workflow…