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Jobs/Platform Engineer Role/Lirio - Senior AI Platform Engineer
Lirio

Lirio - Senior AI Platform Engineer

Hybrid - USA *$165k - $185k2mo ago
In OfficeSeniorNAFintechCloud ComputingPlatform EngineerMLOpsJavaAzurePythonC#

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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. • Programming Languages: Expert proficiency in Python (primary for AI) and C# or Java (for enterprise integration). • Programming Languages: • Azure AI Services: Hands-on experience with Azure OpenAI Service, Azure AI Agent Service, and Azure Machine Learning (Azure ML). • Azure AI Services: • Orchestration & Data Tools: Proficiency with LangChain, Microsoft Semantic Kernel, and Databricks and/or Snowflake. • Orchestration & Data Tools: • Interoperability Protocols: Deep hands-on experience with emerging agent communication standards, specifically the Model Context Protocol (MCP), including proficiency with its SDKs (Python, TypeScript, or Go). • Interoperability Protocols: • Infrastructure & DevOps: Advanced skills in Terraform for Infrastructure as Code (IaC), Docker, Kubernetes (AKS), and Azure DevOps (ADO) for CI/CD. • Infrastructure & DevOps: • Vector Databases: Experience with Pinecone, Weaviate, or Azure AI Search for high-dimensional data retrieval. • Vector Databases: • Experience in healthcare, fintech or other regulated industries. • Prior work with Model Context Protocol (MCP) or similar integration standards. • Familiarity with muli-model AI routing and bench-marking. • Demonstrated ability to lead platform adoption and drive organizational change.

Responsibilities

• Agent Orchestration & Workflow Design • 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 • AI Infrastructure & Lifecycle • 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. • Governance & Security • 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. • Engineering Support & Technical Leadership • 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. • Cross-Functional Collaboration • 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. • Incident response • Incident response • Diagnose and respond to issues in the implementation of agent orchestrations, adjusting guardrails and workflows as needed.

Benefits

• Medical (HSA available) • 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 • 6 weeks paid parental leave • Salary range: $165k-$185k

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