Hybrid Senior AI Platform Engineer

at Lirio

• Job title: Senior AI Platform Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $165,000 - $185,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud, Docker, Java, Kubernetes, Python, Terraform, TypeScript, Go
• Location requirements: Hybrid, United States

About the role

• Senior AI Platform Engineer at Lirio driving Precision Nudging health interventions through architectural design and modern AI workflows. Collaborating across teams to ensure safe and effective AI operations.

Responsibilities

• Design and implement infrastructure to support LLM-based autonomous agents capable of multi-step reasoning, planning, and task execution.
• Build and manage directed workflows using state machines and tools to coordinate complex AI-human handoffs.
• Lead the architectural design and technical implementation of interoperability standards that enable seamless communication between autonomous agents and diverse software ecosystems.
• Architect and maintain cloud-native platforms that support end-to-end AI workflows, from model experimentation to high-availability production deployment.
• Develop evaluation frameworks and observability dashboards to monitor agent accuracy, latency, cost, and safety guardrails.
• Optimize agent performance by managing tool discovery and context window efficiency through standardized protocols, ensuring agents can dynamically access and execute the right capabilities on-the-fly.
• Embed healthcare regulatory compliance (e.g. HIPAA) directly into the platform layer through automated guardrails and audit trails.
• Implement security controls against prompt injection and ensure PII/PHI de-identification within agentic data flows.
• Implement secure authentication, role-based access controls, and data masking within interoperability layers to serve as a secure gatekeeper between AI agents and sensitive enterprise systems.
• Provide subject matter expertise and technical support to engineering teams during implementation.
• Build prototypes, reference integrations, or proof-of-concept solutions to validate design decisions and de-risk complex implementations.
• Evaluate existing systems and propose improvements or replacements.
• Promote AI-assisted engineering tools and modern development practices consistent with Lirio’s engineering culture.
• Document processes, designs, implementations, and best practices for future reference.
• Serve as a contributing member of Lirio’s Architecture Team, helping to maintain architectural coherence and platform quality.
• Partner with Product Management to shape solution approaches before work enters development planning and execution.
• Work closely with Cloud, Data, AI/ML, Behavioral Science, and Engineering teams to ensure solutions support personalization, scalability, and measurable outcomes.
• Participate in the Engineering Council, helping to define and uphold engineering standards, patterns, and technical governance.
• Diagnose and respond to issues in the implementation of agent orchestrations, adjusting guardrails and workflows as needed.

Requirements

• 3–5+ years of experience in healthcare technology, with a deep understanding of clinical workflows, Electronic Health Record (EHR) integration (e.g., Epic, Cerner), and HL7/FHIR data standards.
• Bachelor's degree in related field preferred.
• Proven track record of building cloud-native autonomous agent systems in regulated environments, including the implementation of safeguards for direct patient/member interaction.
• Extensive experience in LLMOps/MLOps, specifically managing the transition of agentic prototypes into production-grade healthcare applications.
• Hands-on experience with LLM APIs, AI coding tools (cursor, co-pilot, claude code, etc) and orchestrations frameworks
• Strong understanding of compliance requirements in regulated environments (HIPAA/HITRUST).
• Ability to design, implement, and maintain complex automation and agent workflows.
• Experience with security, audit, and risk mitigation in software delivery.
• Expert proficiency in Python (primary for AI) and C# or Java (for enterprise integration).
• Hands-on experience with Azure OpenAI Service, Azure AI Agent Service, and Azure Machine Learning (Azure ML).
• Proficiency with LangChain, Microsoft Semantic Kernel, and Databricks and/or Snowflake.
• Deep hands-on experience with emerging agent communication standards, specifically the Model Context Protocol (MCP), including proficiency with its SDKs (Python, TypeScript, or Go).
• Advanced skills in Terraform for Infrastructure as Code (IaC), Docker, Kubernetes (AKS), and Azure DevOps (ADO) for CI/CD.
• Experience with Pinecone, Weaviate, or Azure AI Search for high-dimensional data retrieval.
• Experience in healthcare, fintech or other regulated industries.
• Prior work with Model Context Protocol (MCP) or similar integration standards.
• Familiarity with multi-model AI routing and benchmarking.
• Demonstrated ability to lead platform adoption and drive organizational change.

Benefits

• Medical (HSA available)
• Dental
• Vision
• Short-term & long-term disability (company-paid)
• Life & AD&D (company-paid)
• 401K with company match
• 10 paid holidays, quarterly company closure dates, + holiday week company closure
• Flexible time off policy
• Work from home
• 6 weeks paid parental leave