Vaco Recruiter Services
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.
AI Strategy & Architecture
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.
Conversational AI & Integration
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.
Data Integrity & Compliance
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).
Technology Leadership
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.
Ethics, Compliance & Reporting
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.
Required Qualifications, Skills, and Knowledge
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, LangGraph) 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 / OpenTelemetry
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 automation (Workato, Make, n8n) and enterprise productivity ecosystems (Google Workspace).
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan.
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AI Strategy & Architecture
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.
Conversational AI & Integration
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.
Data Integrity & Compliance
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).
Technology Leadership
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.
Ethics, Compliance & Reporting
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.
Required Qualifications, Skills, and Knowledge
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, LangGraph) 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 / OpenTelemetry
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 automation (Workato, Make, n8n) and enterprise productivity ecosystems (Google Workspace).
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan.
#J-18808-Ljbffr