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Designs enterprise-grade AI/ML platforms and architectures for agentic systems, RAG pipelines, and multimodal applications. Establishes GenAI infrastructure standards, governance, security, compliance, observability, and cost optimization practices. Evaluates AI technologies and vendors, creates reference architectures, and partners with product and engineering teams to deliver scalable cloud-native solutions across AWS and Azure.

This role involves dynamic sales in healthcare technology, focusing on areas like channel sales and account management, with a mission to improve lives.

The Senior Software Engineer will develop and maintain software solutions, write efficient code, perform testing, and collaborate with teams to enhance product performance.

Own the data platform product portfolio, prioritize datasets and capabilities, define schemas and governance, partner with engineering and analytics, enable trusted consumable data, run discovery with domain experts, track data health and adoption, and drive cross-team alignment to support downstream products and analytics.

Build, deploy, and support AI agents and intelligent workflows on Microsoft Azure and other enterprise AI platforms. Design orchestration, integrate LLMs, implement APIs and RAG/vector DBs, ensure responsible-AI guardrails, collaborate across product and operations, and monitor production AI workflows.

Own reliability, observability, and security for AI/ML platforms (data processing, workspaces, labeling, model serving). Build IaC and automation, define SLOs/error budgets, run incident response and DR exercises, implement security controls, mentor engineers, and optimize cost, capacity, and operational standards across cloud environments.

Define technical vision and roadmap for the company ML platform. Architect scalable ML pipelines, MLOps practices, security, observability, and integrations. Guide model training, deployment, serving, monitoring, and provide technical leadership and mentorship across engineering teams.

Provide Tier 1 technical support and initial triage for staff; route incidents to appropriate teams; deploy and configure laptops, mobile devices, and A/V setups; support the onsite IT Bar; document workarounds; manage tickets (ServiceNow); participate in onboarding, on-call rotations, and occasional after-hours support.

Lead a ~50-engineer organization responsible for Transitions of Care. Define engineering strategy and roadmaps with Product, drive technical architecture across cloud platforms, scale AI-enabled products, mentor managers, lead hiring and succession planning, and ensure delivery of large-scale, secure, and reliable cloud solutions while fostering Agile/Kanban practices and cross-functional collaboration.

Support execution of cross-functional FP&A focused on topline, revenue, and GTM costs. Build advanced financial models and BI reports, perform scenario and ad-hoc analysis, partner with GTM leaders and systems teams to automate reporting, and support month-end close, budgeting, and forecasting.